Home Blog Page 232

Pallet Secures $27M Series B Led by General Catalyst to Scale AI Workforce for Logistics

General Catalyst leads the round with participation from Bain Capital Ventures, Activant Capital, and Bessemer Venture Partners

Pallet, the company behind CoPallet, the AI workforce for logistics, announced a $27 million Series B round led by General Catalyst, with continued support from Bain Capital Ventures, Activant Capital, and Bessemer Venture Partners, bringing total funding raised to $50 million. The raise comes amid surging demand from logistics operators under intense pressure to reduce costs as global tariffs and economic headwinds reshape supply chain economics.

This wasn’t a story about hype, it was a story about math. Customers ran the numbers. A midsized carrier was able to reallocate 25 employees who were doing repetitive order entry, saving millions.

Logistics is an $11 trillion industry, yet an estimated 10% of total spend still goes to manual administrative workflows. Data entry, email, and flipping between web portals are the norm to complete mission-critical workflows including taking orders, quoting, and tracking.

Read More: SalesTechStar Interview with Hayden Stafford, President & Chief Revenue Officer at Seismic

CoPallet is an AI workforce that completes these workflows 10x faster and at half the cost of traditional staffing. As tariffs and cost pressures mount, Pallet’s AI workforce has become a high-leverage resource for operators seeking to preserve profits without sacrificing service quality.

“This wasn’t a story about hype, it was a story about math,” said Pallet CEO and founder Sushanth Raman. “Customers ran the numbers. A midsized carrier was able to reallocate 25 employees who were doing repetitive order entry, saving millions. With tariffs driving up costs across the board, the ROI was obvious and our biggest challenge became keeping up with demand.”

Pallet will use the funding to expand its product and engineering teams and scale its AI workforce to meet the needs of its rapidly growing customer base across freight brokers, 3rd party logistics providers, freight forwarders, carriers, and shippers.

Read More: How Have Investment Patterns in SalesTech Changed in 2025?

“General Catalyst believes the next wave of iconic companies will come from applied AI — purpose-built systems that solve real, high-friction problems in massive industries,” said Marc Bhargava, Managing Director at General Catalyst. “Pallet is doing exactly that for logistics, and we believe has the potential to be a multi-billion dollar opportunity.”

Dan Lewis (CPO at Microsoft, co-founder at Convoy), Amit Agarwal (former President at Datadog), Girish Rishi (former CEO at BlueYonder), Michael Capellas (former CEO at Compaq), Matt McKinney (CEO at Loop), and Aatish Nayak (Head of Product at Harvey) participated in this funding round.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

EKA Business AI Enhances Supply Chain Performance with Cutting Edge Technology

EKA Solutions Inc., the industry leading provider of cloud-based integrated freight management platform, EKA Omni-TMS™, announced that it is collaborating with best-in-class technology leaders to harness the power of AI-ready technology to innovate at high speed.

Read More: SalesTechStar Interview with Don Cooper, Vice President of Global Alliances at Aras

EKA Omni-TMSTM will offer AI innovations that revolutionize the way work gets done. Expanding library of EKA embedded AI Agents’ will enable customers to benefit from EKA’s unique trifecta of unmatched business data, unparalleled business applications, and unrivaled Business AI. It will unlock the ability to configure applications to meet their unique needs and accelerate digital transformation. EKA’s high priority is to focus on operational processes that maximize ROI for trucking, broker, 3PL, distribution and manufacturing companies,

Read More: How SalesTech is Reshaping Buyer-Seller Dynamics?

“In H2 2025, EKA will offer, among other AI based solutions, a Recommender Agent to automate match for loads-drivers-assets to assist load planning and truck dispatch operations, natural language search tools, and a high-speed document processor solutions to automate current tedious tasks like manually handling invoice and associated delivery documents and, improve data extraction, and gain deeper insights,”  says JJ Singh, Founder and CEO for EKA Solutions, Inc.

EKA Solutions, Inc. provides a transformational cloud-based SaaS digital freight ecosystem management platform, dFEMX™, to manage customer’s freight businesses and enable synchronous integration with key service providers that deliver related services. Also, EKA provides the Smart, Platform EKA Omni-TMS™ for – virtually – everyone. It empowers small, medium, and large size broker, carrier, and shipper businesses to operate from quote-to-cash with affordable and best-in-class digital tools, enabling hyper automation, high data security and the next level of customer and partner experience.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Agentic AI Poised to Handle 68% of Customer Service and Support Interactions by 2028

New Cisco Research Reveals Overwhelming Demand for Agentic AI
to Transform the Way Technology Vendors Deliver Customer Experience

  • The rise of agentic AI: By 2028, 68% of all customer service and support interactions with technology vendors are expected to be handled by agentic AI.
  • Customer experience becomes mission-critical: With growing IT complexity, 92% of organizations say the support and services they receive are more important than ever.
  • Transformational benefits of AI: A striking 93% of respondents predict that agentic AI will enable more personalized, proactive, and predictive services.
  • The power of human connection: Despite AI’s rise, 89% of customers emphasize the need to combine human connection with AI efficiency to optimize experiences.

Cisco announced the findings of its latest global research report, “The Race to an Agentic Future: How Agentic AI Will Transform Customer Experience,” highlighting the potential of agentic AI to revolutionize the way technology vendors deliver services and support to customers.

In the survey of 7,950 global business and technical decision-makers across 30 countries, respondents predict that agentic AI will play an increasingly prominent role in their interactions with technology vendors over the coming years and are positive about the benefits it will bring. 88% report they feel confident that the agentic AI-led customer experience provided by technology partners will help their organization achieve its goals – for example, making their IT environments and operations more efficient, resilient and secure, accelerating their most important strategic IT projects, and maximizing value from their IT investments.

Read More: SalesTechStar Interview with Alberto Benigno, Chief Sales Officer at Wildix and Founder of Sales Elevate Lab

Respondents also expect the pivot to agentic AI-led customer experience (including technical support, customer success and professional services) to advance at a far greater velocity than the industry anticipated. They predict that 68% of their customer experience interactions with technology partners will be handled using agentic AI within the next three years. And, surprisingly, they expect more than half (56%) of interactions to be through agentic AI within the next 12 months, representing a significant increase and heaping pressure onto those vendors who are still only in the early stages of thinking about agentic.

Liz Centoni, EVP & Chief Customer Experience Officer, Cisco, commented: “With agentic AI reaching a new level of maturity, we’re closer than ever to solving some of the most persistent customer pain points in enterprise environments. For instance, a significant share of network issues stem from misconfiguration, something agentic systems are poised to eliminate. That shift will lead to smarter networks, stronger security, and more productive teams. As an industry, we’ve been talking about these concepts for decades, and while we’ve made incremental progress, AI – and especially agentic AI – is making that vision a reality.

“We are drawing on four decades of data, our deep industry knowledge, and the trust of our customers to re-imagine Cisco Customer Experience as an agentic-led function. Our vision is to make every customer interaction with Cisco personalized, proactive, and predictive, and to make every customer feel like they are our only customer. And while we’re making meaningful progress, this new research makes one thing clear: we have to move faster.”

In recent years, in response to growing IT complexity, technology businesses have introduced automation into their workflows and layered in AI to streamline support and services. This approach has still required human intervention to stitch processes together – to monitor, decide, act and adapt. Agentic AI negates the need for this level of human intervention. Agentic AI is a category of artificial intelligence that leverages AI Agents and a contextualized interconnection among them. Agentic AI requires agency, meaning the AI Agents are capable of having memory, are task aware and possess the ability to independently take actions – or choose what actions to take or recommend – to achieve a particular outcome through the ability to learn from their environment and reason, with minimal human oversight.

Read More: SaaS Companies See Unprecedented Growth Through Strategic Social Media Marketing

This frees up customer experience professionals to focus on complex problem-solving, humans-on-the-loop feedback process for specific use-cases (where humans, for example, provide feedback to an AI system to improve its performance and focus on accurate and safe results), and building deeper, trusted relationships with customers.

The research highlights the urgent need for technology vendors, many of whom are still only exploring the potential for agentic AI deployment within customer experience, to accelerate their strategies.

Respondents are clear that they believe vendors who are left behind or fail to deploy agentic AI in an effective, secure and ethical manner, will suffer a deterioration in customer relationships, reputational damage and higher levels of customer churn.

Meanwhile, the research highlights that respondents feel that vendors who embrace this transformation head-on, seamlessly and ethically deploying agentic AI across the technology lifecycle, will benefit from data-driven insights, improved scalability within their support and services, and loyalty at scale. Customer experience will become a strategic differentiator, with 81% of respondents predicting that vendors that successfully deliver agentic AI-led customer experience will gain a competitive edge.

Key Findings

  • Accelerated demand for customer experience: As levels of IT complexity increase, organizations are leaning on technology vendors more than ever before. 92% of respondents state that the support and services provided by vendors are becoming more critical in the AI era.
  • Use cases across the technology lifecycle: more than 80% of respondents point to potential benefits of agentic AI-led customer experience at every stage of the technology lifecycle, with customer and technical support, technology strategy and planning, and operations viewed as the greatest opportunities.
  • Game-changing benefits: customers expect agentic AI to drive improvements in IT productivity, time savings, and cost savings, as well as opportunities to improve data analytics, troubleshooting, and alignment of technology investment with digital transformation goals.
  • Human connection is irreplaceable: customers want to retain human interaction when engaging with support and services, with 96% stating that human relationships are very important when interacting with B2B technology partners.
  • Robust governance is non-negotiable: 99% of respondents state that it’s important for technology partners to demonstrate robust governance arrangements to deliver ethical use of agentic AI, and 81% feel that vendors need to share their vision for AI-led customer experience to bring customers along on the journey.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

From Acquisition to Retention: How Smarter Partner Enablement Is Reshaping B2B Sales

Success isn’t just about selling software, it’s about helping partners thrive. That mindset is reshaping how today’s top sales teams think about growth.

In the B2B channel, your product is only part of the equation. What drives real impact is the strength of your partnerships and how well those partners are supported after the initial agreement is signed.

Complicated jargon and empty promises should be in the past for channel partners. These are experienced sellers and consultants who expect clarity, responsiveness and tools that actually make their jobs easier. They want to understand your value proposition and see how it helps their customers succeed.

The blueprint for success? Genuine collaboration, caring about your customer’s customer, AI-powered insights and training that actually delivers results. That’s what turns a one-time deal into a lasting relationship.

If you’re in tech sales today, odds are you don’t sell alone. You might co-sell with integrated vendors, work through resellers or support consultants who carry your solution into the field. However your ecosystem is structured, your revenue depends on how well others can sell your product too.

That’s why partner enablement is an important sales strategy that deserves the same focus as any direct selling motion.

Enablement Is a Sales Play, Not a Side Project

Closing a partner agreement means the real work is just beginning. If you want resellers to confidently position, pitch and implement your solution, they need more than access to a portal. They need support that feels actionable and relevant.

This is especially true in complex ERP ecosystems like Acumatica and Microsoft Dynamics 365, where solutions are part of a broader, tightly integrated technology stack. Resellers, ISVs and consultants are working together to deliver a full customer experience. If your offering doesn’t fit seamlessly into that conversation, or if your value isn’t easy to explain, it’s unlikely to get prioritized.

B2B buyers now engage across multiple channels before they commit. That means your partners are navigating a more fragmented, expectation-heavy environment. Consistency and integration are key. When the solutions you provide help reduce risk, create efficiency and work well with the ERP, you build trust. That trust makes selling easier.

The most effective sales professionals invest in enablement because it improves deal velocity, increases pipeline coverage and strengthens channel credibility.

What Success Looks Like to You Isn’t Always What Matters to Them

Enablement delivers the most value when everyone is aligned on what success actually looks like.

Your KPIs might include sourced pipeline or product attach rate. Your partners are probably watching something else entirely such as profit margins, customer retention or implementation speed.

Success metrics should be co-defined. Focus on things like time to first deal, repeat sales, referral activity and customer satisfaction. Show partners how your solution helps them look good to their clients and grow their own business. That’s how you build loyalty.

The best enablement programs are grounded in clear, mutually aligned goals. They treat implementation outcomes and customer success as shared wins and they track metrics that prove it. Framing success around a partner’s reputation and long-term credibility turns enablement into a strategic asset, not just a sales aid.

Research shows that businesses have a 60–70% chance of selling to an existing customer, compared to just 5–20% for a new prospect. That kind of repeat business is what partners care about. And if your solution helps them achieve it, you’ll earn a spot in their regular rotation.

Read More: SalesTechStar Interview with Don Cooper, Vice President of Global Alliances at Aras

Human Trust Still Closes Technical Deals

Even in highly technical sales environments, trust drives decision-making. Partners want to know what your software does, and they want to know that you’ll help them look sharp in front of their customers.

Resellers are juggling a lot. Many are onboarding new employees, expanding into new verticals or managing multiple vendors. They can’t be experts in everything overnight. But with the right support from your sales team, they don’t have to be.

Assistance could take the form of pre-sales coaching, demo assistance, industry-specific messaging or just being available to help partners navigate their first few deals. Customizing and adjusting your approach as needed shows you are committed to setting them up for success and supporting them as they grow.

According to recent research, 86% of business buyers are more likely to purchase from vendors who take the time to understand their goals. Yet 59% say most reps don’t. Helping your partners show up prepared and customer-focused strengthens every link in the chain.

When partners feel ready, they sell with confidence. And that builds trust on every level.

AI Is Giving Sales and Partner Teams a Smarter Edge

AI is now a part of the modern sales stack, and statistics show that 64% of businesses believe this technology improves customer relationships. From account intelligence to sales automation, AI empowers reps to better manage time, tailor outreach and accelerate cycles.

It’s also transforming how we enable partners. AI-driven tools can personalize content suggestions, automate onboarding sequences and surface win themes from past deals. When applied well, these tools help partners ramp faster and sell smarter.

The best enablement programs now include AI-driven insights to help partners forecast demand, align messaging with vertical trends and make better decisions with less friction. It’s not just about content. It’s about clarity, timing and execution.

Not Every Partner Needs the Same Thing

Your partner ecosystem isn’t one-size-fits-all. Some resellers want to build ecommerce or integrated offerings into a core business line. Others are looking for occasional support on a single opportunity. Both models can deliver results when supported the right way.

That starts with understanding what kind of support each partner needs to succeed. Some benefit from fully managed sales cycles. Others prefer to be self-sufficient but still want access to technical discovery resources, demo sites or quick-turn pricing guidance.

The key is to be adaptable. Enablement should reflect the partner’s role in the sale, not a static checklist. If you offer ERP-integrated tools, those should reflect the operational realities of B2B sales like account-based pricing, self-service portals, impersonation features and strong post-sale functionality. When partners know the product delivers long-term value, it’s easier for them to lead with it.

Sales professionals who make it easier for partners to sell build momentum and get pulled into more conversations. The relationships grow stronger as a result.

Retention Drives Results

Retention plays a central role in sales growth. Partners who stay active and engaged build deeper customer relationships, bring in repeat business and often expand their reach across new opportunities. As they gain experience with your solution, they sell with more confidence and consistency.

Strong partnerships grow over time. When partners feel supported, they begin to incorporate your solution into more of their customer conversations and identify ways to add value beyond the initial sale.

Tracking partner engagement and activity provides key insights into where to focus. Look for signs of momentum — repeat wins, steady communication, customer satisfaction — and continue investing in the relationships that deliver. Consistent enablement builds long-term performance.

The Takeaway

Partner enablement is a core part of the sales strategy. It’s how teams extend their reach, increase credibility and accelerate deals across the channel.

Sales professionals who lead with support, insight and responsiveness help resellers succeed in the field. Training that reflects real scenarios, tools that simplify complexity and proactive collaboration all contribute to stronger results.

When partners feel capable and confident representing your solution, they become reliable revenue contributors and advocates for your brand. Building that kind of relationship takes focus, but the payoff is scalable growth and a stronger sales ecosystem.

Read More: How AI improves the Customer Experience

SalesTechStar’s Sales Technology Highlights of The Week: Featuring Salesforce, Docket, Siro and more!

Catch the latest in salestech, from Docket’s AI seller to Salesforce’s new AI powered CX platform for Life Sciences:

______

SalesTech Quote-of-the-Week!

Providing robust support to partners is critical for building and maintaining a strong pipeline. This includes collaborating on marketing activities, offering presales assistance for new opportunities, and establishing an inside/outside support model to guide how you work together. The goal is to create a framework where partners feel equipped to succeed while driving mutual growth.

Don Cooper, Vice President of Global Alliances at Aras

Top SalesTech News of the Week: 19th May to 23rd May 2025

SalesTech Interview-of-the-Week!

Read More

The state of today’s B2B revenue cycles are often isolated in silos. Sales, revenue, marketing, customer success, and other teams, work best when cross-functional collaboration is encouraged, but without this collaboration, everything from customer retention to GTM strategies suffers.

Hayden Stafford, President & Chief Revenue Officer at Seismic

Top Sales and SalesTech Articles on Customer Experience, SalesTech for Better Buyer-seller Experiences, Optimizing Sales Growth with Sales Automation and more!

MORE FROM THE SALESSTAR PODCAST BY SALESTECHSTAR

Episode 227: Revenue Generation and RevTech Trends: with Latane Conant, CRO at 6sense

Episode 226: The Future of Mobile-first Ad Experiences with Kunal Nagpal, Chief Business Officer at InMobi Advertising

Episode 225: The Latest Trends in B2B Commerce: with Daniela Jurado, EVP, North America at VTEX

Voice Search and Sales Automation Technology: Revolutionizing Voice Commerce for E-commerce Sales Teams

The marketing and consumer landscape have evolved over a period of time and with voice search emerging as a transformative force, the e-commerce sector is poised to revolutionize how consumers interact with online shopping platforms.

Voice search or voice commerce leverages the capabilities of voice assistants, such as Alexa, Siri, and Google Assistants to facilitate hands-free transactions. Indeed, it is an innovative approach that is redefining e-commerce in ways beyond we can think of. Additionally, the rise of voice search platforms has led to integration of AI (artificial intelligence) and NLP (natural language processing) in our everyday lives.

For e-commerce sales teams, this evolution presents both opportunities and challenges. Leveraging sales automation technology to optimize voice search interactions can streamline purchasing journeys, improve conversion rates, and enhance the overall customer experience.

The integration of voice search with sales automation

Voice-enabled searches are being enabled in sales automation to provide seamless and tailored shopping experiences to customers. Here is how the integration helps:

  • Streamlined interactions: Voice-enabled commerce helps consumers to place orders directly without the hassle of clicking through the website. For instance, one can order a cup of coffee my directly instructing Siri. As the system recognized the voice and accepts the command, the order will be placed hassle-free.
  • Data-driven insights: Voice searches helps systems to gather data about the preferences and behaviors of consumers. Sales automation tools shall analyze the data and refine sale strategies to tailor offerings.
  • Real-time experiences: Extracting information from the voice queries, the sales automation tools enables brands to offer dynamic recommendations and increase the likelihood of conversions.

Examining the Impact of Voice Assistants on Voice-Enabled Commerce

Voice assistants, such as Siri, Alexa, and Google Assistants are revolutionizing the way consumers interact with their favorite brands. These advanced technologies are increasingly removing the barriers such as typing, navigating through interfaces, and spending time in choosing the products. Today, consumers can directly place an order by giving a command to these voice assistants, thus, making the shopping experience more intuitive and accessible.

  • Enhanced consumer engagement: Voice assistants are playing a fundamental role in bridging the gap between intent and action. As the consumer thinks of buying anything, he can directly place an order by giving a command to his voice assistant. This contributes to faster decision-making, shorter sales cycle, and more revenue.
  • Personalized shopping experiences: Leveraging machine learning, voice assistants can understand the behavior of consumers and suggest similar products for purchase in the future. It increases the opportunities for cross-selling and upselling.
  • 24*7 availability: Unlike human agents, voice assistants are available round the clock. Hence, consumers can interact with the brand any time and seek help. It fosters are feeling of belongingness and increases brand loyalty.
  • Integration with ecosystems: The biggest advantage of voice assistants is that they operate within widespread ecosystems, such as smart homes. For example , a shopper using Siri on an iPhone might seamlessly transition to completing a transaction through Apple’s ecosystem.

Read More: SalesTechStar Interview with Don Cooper, Vice President of Global Alliances at Aras

How can sales teams take advantage of this technology

Sales teams can utilize voice-enabled searches to drive more revenues and consumer-centric outcomes. Here are some of the key strategies:

  • Optimize for voice search queries: Sales teams can extract voice search data using automation tools and tailor consumer experiences accordingly. Voice searches are more specific and sales teams can tap into it to identify trends and adjust their offerings.
  • Better interaction speed and accuracy: Advanced AI-powered automation ensures consumers queries are responded to immediately. When your sales tools integrate with voice technology, you can adjust real-time offerings, pricing etc. to create smoother user experiences.
  • Streamline purchase journey: Sales automation can guide consumers through purchase by one-click check-out option. It ensures minimum abandons and drop offs. Sales teams can also arrange follow-ups for more abandoned carts triggered by voice searches.
  • Boost conversion rates: By offering personalized recommendations, sales teams can offer tailored suggestions. For example, a returning customer for a blue pair of sneakers may be offered suggestions for similar products based on the past browsing history.

The convergence of voice search and sales automation technology is poised to redefine e-commerce. As voice assistants become more sophisticated and adoption rates climb, sales teams must stay ahead by embracing innovation. From predictive analytics to conversational AI, the future of voice commerce lies in creating deeply personalized, efficient, and secure shopping experiences.

Wrapping Up

Voice commerce is poised to transform the e-commerce landscape, turning shopping experiences easier than a walk in the garden. Additionally, it is not a future technology, it is right here at the threshold of becoming mainstream. The time has come to train and prepare your sales team and the entire ecosystem for a promising integration of sales with voice assistants.

As this technology continues to evolve, the brands that embrace it will lead the way in shaping the future of online shopping.

Read More: Optimizing Sales Growth with TAM, SAM, and SOM Insights: The Role of Sales Automation

E2open Announces Acquisition by WiseTech Global, Concluding Strategic Review

Stockholders to receive $3.30 per share in cash, a 68% premium value to unaffected share price

E2open Parent Holdings, Inc., the connected supply chain SaaS platform with a leading multi-enterprise network, announced that it has entered into a definitive agreement to be acquired by WiseTech Global Limited, a leading provider of logistics execution software solutions. The acquisition marks the conclusion of e2open’s previously announced strategic review process.

Under the terms of the transaction, e2open stockholders will receive $3.30 per share in cash equating to an enterprise value of $2.1 billion. The per-share purchase price represents a premium of approximately 28% over the company’s closing stock price on May 23, 2025, the last trading day prior to today’s announcement, and a premium of approximately 68% over the company’s closing stock price on April 30, 2025, the day prior to media reports regarding WiseTech’s evaluation of a potential acquisition of e2open (reported on May 1, 2025).

Read More: SalesTechStar Interview with David Sudbey, Chief Customer Officer at Dialpad

“After a comprehensive strategic review and evaluation of a full range of options conducted by e2open, the Company’s Board, and Rothschild & Co, we have decided to enter this agreement with WiseTech Global, which we believe maximizes value for our shareholders and positions the Company for long-term success,” said Andrew Appel, Chief Executive Officer of e2open. “WiseTech’s global footprint and commitment to innovation are highly complementary to e2open’s capabilities. Together, we will be able to offer a leading end-to-end platform for the world’s most complex supply chains.”

Read More: Reducing Sales Burnout: How Sales Automation Supports Mental Health in Sales

“As we undertook a comprehensive review of strategic alternatives, we remained firmly focused on our core business fundamentals,” said Chinh E. Chu, Chairman of the Board of Directors of e2open. “We are confident that this process has resulted in an outcome which delivers significant value for our shareholders and underscores the strength of e2open’s solution portfolio and client base.”

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Knowband Expands Offerings with GTM and AI Content Generator

Knowband

Knowband’s Google Tag Manager and AI Content Generator & Translator combo boosts conversions by up to 45%, automates content, and enhances customer insights.

Knowband, a leading provider of plugins and add-ons for online stores like PrestaShop, OpenCart, WooCommerce, and Magento 2, has highlighted the benefits of combining their Google Tag Manager and AI Content Generator modules. As e-commerce competition grows, recent studies show that stores using both advanced analytics and optimized content achieve up to 45% higher conversion rates.

As online stores strive to stay competitive, the combination of automation and real-time insights has become crucial. With the ever-growing competition in the eCommerce industry, it has become crucial for online stores to have a strong online presence and provide high-quality product information to their customers. This is where Knowband’s latest offering comes into play. By combining the capabilities of Google Tag Manager and AI Content Generator, online retailers can now have a more efficient and streamlined approach towards managing their eCommerce analytics and product content.

Combining Google Tag Manager and AI Content Generator like Claude, DeepSeek, ChatGPT, and Gemini helps online stores boost insights and automate content creation”

— Mr. Kumar, Knowband’s Co-founder

Knowband’s Google Tag Manager is a powerful plugin that allows website owners to manage and understand events happening in their stores without the need for coding knowledge. By integrating this with Knowband’s AI Content Generator, online retailers can now automatically generate high-quality product descriptions, titles, meta titles and meta descriptions for their products. This not only saves time and effort but also ensures consistency and accuracy in product information across the website.

Knowband’s co-founder Mr. Kumar said, “We are excited to reveal this powerful combination of Google Tag Manager and AI Content Generator module. This will not only help online retailers improve their e-commerce analytics but also automate the process of product content creation, making it more efficient and accurate. We believe this will be a game-changer for online stores, especially in this highly competitive market.”

Read More: SalesTechStar Interview with Don Cooper, Vice President of Global Alliances at Aras

The Google Tag Manager shows what customers like and how they make purchases. Then, the Opencart AI Content Generator & Translator Plugin quickly creates descriptions that match those habits. It can also translate all content into multiple languages with just a few clicks.

Knowband’s Google Tag Manager and AI Content Generator modules simplify the process by tracking customer behaviour with the Google Tag Manager, store owners gain deep insights into their audience’s preferences, shopping habits, and buying patterns. At the same time, the AI Content Generator automatically creates relevant product descriptions, titles, and category content, saving time and effort. This powerful combination ensures that content is always fresh, engaging, and optimized for search engines. With these tools, store owners can quickly adapt to changing market trends and improve the customer experience. The result was higher conversion rates, better customer engagement, and ultimately, increased sales.

Essential Key Features of Knowband’s Google Tag Manager Plugin and AI Content Generator/Translator Plugin

The Prestashop Google Tag Manager module includes an advanced event-tracking feature. This allows businesses to monitor and analyze user interactions across their websites, delivering crucial insights into user behaviour. Specifically, e-commerce stores benefit from tracking key actions like product clicks, add-to-cart events, and completed purchases. As a result, store owners can make informed, data-driven decisions to improve user experience and increase conversions. Additionally, the Prestashop AI Content Generator & Translator Module seamlessly integrates with Google Analytics 4, allowing businesses to combine powerful event tracking with comprehensive traffic and performance data in one place.

Read More: How SalesTech is Reshaping Buyer-Seller Dynamics?

The Google Tag Manager module also captures UTM parameters, enabling businesses to accurately track the source, medium, and campaign performance of user visits. This enhancement significantly improves marketing attribution and empowers merchants to make more informed, data-driven decisions.
On the other hand, the Prestashop AI Content Generator & Translator Module leverages artificial intelligence to simplify content creation and localization. It automatically generates and translates product titles, descriptions, meta titles, and meta descriptions.

Importantly, the AI-powered Content Generator & Translator module is powered by leading AI technologies, including Claude, DeepSeek, ChatGPT, and Gemini. By combining the strengths of these advanced models, the module delivers high-quality, consistent, and accurate content. Moreover, with built-in multilingual support, it helps businesses expand their global reach and communicate effectively with international customers.

Knowband’s Google Tag Manager for OpenCart works immediately, with no setup required. It tracks every customer action product views, cart additions, checkouts, purchases, and more. It also monitors coupon use, account logins, and wishlist saves. The module also identifies which marketing campaigns bring in the highest traffic. Sales. All this happens without requiring any technical skills.

“Store owners using our combined modules have reported cutting product listing time by 75% and seeing a 32% boost in conversion rates,” said Mr. Kumar, Co-Founder of Knowband.

The OpenCart AI Content Generator Plugin creates polished product descriptions in minutes. It helps build SEO-friendly titles and descriptions that stand out in search results and attract more clicks. The module also generates category descriptions that guide customers while they browse. One of its top features is language translation. With just a few clicks, store owners can translate their entire catalogue. You can also update large numbers of products at once, making it easy to keep content fresh.
The Magento 2 AI Content Translator also enables automatic translation of product titles, descriptions, meta titles, and meta descriptions, supporting all languages configured in your store.

Both modules are available separately on the Knowband website. They work with popular self-hosted platforms like PrestaShop, OpenCart, WooCommerce, and Magento 2.

Founded in 2006, Knowband has become a trusted name in eCommerce solutions. the company supports over 25,000 merchants across more than 140 countries. With over 80 plugins designed for major platforms, Knowband helps businesses of all sizes improve store functionality. Since 2020, Knowband has maintained 40% annual growth. It continues to expand its product lineup while staying committed to simple, effective tools that solve real-world eCommerce challenges.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

CobbleStone Unveils VISDOM+ Generative AI Chatbot: Revolutionizing Contract Management with Advanced Agentic AI

CobbleStone Contract Insight Review | PCMag

CobbleStone Software launched its enhanced VISDOM+ AI Chatbot, offering intelligent assistance for system navigation, legal compliance, and automated, centralized contract clause generation.

CobbleStone Software a recognized Leader in contract lifecycle management (CLM) according to the SPARK Matrix™ Report – is excited to share significant advancements to its VISDOM+ AI Chatbot, further transforming how organizations interact with their contracts and CobbleStone Contract Insight® system. These enhancements empower users with intelligent assistance, automated clause generation, and instant access to critical information, leveraging cutting-edge AI built on OpenAI, the makers of ChatGPT.

“We’re not just offering a chatbot; we’re providing an intelligent assistant that understands context, generates content, and helps users navigate the complexities of contract law and system functionality seamlessly.” – Mark Nastasi, EVP & Founder of CobbleStone Software

The expanded VISDOM+ AI Chatbot capabilities mark a significant leap forward in conversational AI for CLM, designed to boost efficiency, reduce manual effort, and improve compliance for legal, procurement, and administrative teams.

Read More: SalesTechStar Interview with Ari Widlansky, Managing Director and COO – US for Esker

𝐊𝐞𝐲 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐕𝐈𝐒𝐃𝐎𝐌+ 𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭 𝐈𝐧𝐜𝐥𝐮𝐝𝐞:

𝐕𝐈𝐒𝐃𝐎𝐌 𝐀𝐈 𝐀𝐬𝐬𝐢𝐬𝐭 (𝐂𝐨𝐫𝐞 𝐂𝐡𝐚𝐭𝐛𝐨𝐭 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥𝐢𝐭𝐲): Provides a helpful and engaging chatbot to answer user questions about the CobbleStone Contract Insight platform.

𝐕𝐈𝐒𝐃𝐎𝐌 𝐁𝐚𝐬𝐢𝐜 (𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐒𝐲𝐬𝐭𝐞𝐦 𝐈𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐨𝐧): Users can now directly ask the chatbot “how to create a [Contract, Request, Vendor, Employee, Sourcing, Purchase Order]” and easily search through reports, making system navigation and data retrieval more efficient.

𝐕𝐈𝐒𝐃𝐎𝐌+ (𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈): Elevating beyond basic queries, VISDOM+ allows users to ask complex, system-related questions and receive answers built on advanced AI, including integrations with OpenAI. This powerful feature also enables users to inquire about applicable laws and compliance regulations such as GDPR, CCPA, and OFAC, receiving instant, informed guidance.

𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐂𝐥𝐚𝐮𝐬𝐞 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧: A standout feature, VISDOM+ now allows users to effortlessly generate contract clauses. Users can simply prompt the chatbot, for example, “Draft a clause for indemnification,” and receive a relevant, well-structured clause.

𝐂𝐞𝐧𝐭𝐫𝐚𝐥𝐢𝐳𝐞𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐞𝐝 𝐂𝐥𝐚𝐮𝐬𝐞𝐬: To maintain consistency and control, generated clauses can be directly added to an organization’s pre-approved clause library within CobbleStone Contract Insight. This ensures a centralized, united, and compliant process for clause management.

Read More: The Future of Sales Leadership: How to Adapt and Thrive in a Changing Market

These enhancements underscore CobbleStone Software’s dedication to leading the CLM industry through continuous innovation and the strategic integration of advanced artificial intelligence. The VISDOM+ AI Chatbot is set to become an indispensable tool for organizations seeking to optimize their contract processes, mitigate risks, and enhance overall operational efficiency.

“We are incredibly excited about the evolution of our VISDOM+ AI Chatbot,” said Mark Nastasi, EVP of CobbleStone Software.

“Our goal has always been to make contract management more intuitive and powerful. With these new features, we’re not just offering a chatbot; we’re providing an intelligent assistant that understands context, generates content, and helps users navigate the complexities of contract law and system functionality seamlessly. It’s a testament to our commitment to innovation and our belief in the transformative power of AI in the CLM space.”

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Optimizing Sales Growth with TAM, SAM, and SOM Insights: The Role of Sales Automation

Whether you are commencing a new business or planning to grow it or focusing on launching a new product, there are three acronyms that you must be familiar with – TAM, SAM, and SOM. Understanding the viability of your business and tapping into new sales growth opportunities is vital for sustained success where these three metrics can assist in varied ways.

Today, the business landscape has become very competitive, and a basic way to achieve it by using market segmentation and analysis where the three metrics – Total Addressable Market (TAM), (Serviceable Available Market) SAM, and (Serviceable Obtainable Market) SOM  offer provide a complete framework for calculating market potential, fine-tuning strategies, and maximizing sales growth. Businesses that effectively use these insights are better able to prioritize resources, concentrate on high-value segments, and connect their objectives with achievable opportunities.

However, calculating TAM, SAM, and SOM manually can be time-consuming and prone to error. Enter automation, the game-changer that has revolutionized market analysis. Businesses that automate the process of computing these indicators can expedite their operations, enhance accuracy, and receive real-time insights that lead to better decision-making. Automation tools backed by modern technology such as artificial intelligence (AI) and machine learning (ML) have transformed the way businesses approach market segmentation and growth planning.

Let’s look at the importance of TAM, SAM, and SOM in market segmentation and sales growth. We have discussed the definitions and distinctions between these measures, the difficulties or challenges that businesses encounter when manually calculating them, and how automation can help them overcome these hurdles. By the end, you’ll grasp how automation converts these calculations into actionable insights that help with strategic decision-making and long-term success.

Understanding TAM, SAM, and SOM

To completely comprehend the impact of automation in market segmentation, it is necessary to first understand the fundamental metrics: TAM, SAM, and SOM. These metrics are the foundation of every market analysis methodology, providing a uniform framework for assessing market potential at various levels.

For sales growth and crafting an ideal sales strategy for your business, these metrics are important components of a business plan as these metrics can help you define your revenue goals. Before we break down these metrics to use them in your business, let us understand the scope of each metric.

a) Total Addressable Market (TAM): A Macro View

TAM (Total Addressable Market) refers to the total revenue opportunity available if a company captures 100% of a specific market. It shows the theoretical maximum potential for a product or service, giving a high-level picture of the market’s size. For example, if you sell cloud-based project management software, your target audience would include any companies throughout the world who could benefit from such a solution.

While TAM provides vital insights into the market’s entire reach, it is primarily aspirational. Due to competition, regional limits, and changing customer wants, no company can realistically capture 100% of its TAM. Nonetheless, it is a critical benchmark for determining whether a market is worth pursuing. This entails analyzing every potential customer or group that could benefit, as well as taking limitations or variables like competition or market saturation into account.

  • Why is measuring TAM important?

Measuring the Total Addressable Market (TAM) is critical for investors, entrepreneurs, and organizations since it determines the scalability and overall attractiveness of a market opportunity. Understanding TAM provides a clear picture of a product or service’s revenue potential and aids in determining a company’s overall potential.

TAM also provides a foundation for strategic decisions including market entry and expansion, price strategies, product development, and resource allocation. Knowing the full spectrum of a market’s potential allows organizations to focus their resources on possibilities that maximize growth and profitability.

  • How Do You Compute TAM?

TAM is computed by multiplying the total number of prospective customers or users in a market by the average yearly revenue per customer. This estimate frequently takes into account location, demographics, industry trends, and pricing methods. TAM is calculated as the number of customers/users in the market multiplied by the annual value of each customer/user.

For example, if your company has 8,000 customers with an annual value of $1,200, the TAM is $9.6 million.

This formula is a simple technique to evaluate the total market potential for a business opportunity.

b) Serviceable Available Market (SAM): Narrowing the Scope

SAM is a subset of TAM that represents the market segment that your company may reasonably serve based on characteristics such as product or service capabilities, geographic reach, and target demographics. For instance, if your project management software is designed for small to medium-sized enterprises (SMBs) in North America, your SAM will exclude corporate customers or firms based outside of this region.

SAM offers a more focused and actionable perspective than TAM. It determines the markets where your products or services are most closely aligned with customer wants and preferences, allowing you to focus your efforts where they will be most effective.

Why is measuring SAM important?

Serviceable Addressable Market (SAM) is critical for developing a company’s target market strategy and allocating resources to the most profitable prospects. Businesses can enhance efficiency and profitability by selecting the most profitable sectors for marketing, sales, and product development.

In addition, SAM analysis assists businesses in understanding their competitive landscape. Businesses can separate themselves from competitors by examining their strengths, shortcomings, and market positioning. This strategic knowledge enables improved positioning and greater competitive advantages.

How Do You Compute SAM?

SAM is computed by restricting the Total Addressable Market (TAM) using particular criteria such as target customer categories, geographic reach, competitive variables, market penetration strategies, and regulatory restraints.

This entails assessing market data and segmenting the TAM by the company’s business plan and operational capabilities.

The calculation for SAM is:

Target Segment of TAM x Annual Value for Each Customer/User.

For a target market of 8,000 customers in a given location, each generating $1,200 per year, the SAM is $9.6 million (8,000 x $1,200).

This method enables organizations to focus on genuine, actionable opportunities in the larger market.

c) Serviceable Obtainable Market (SOM): The Realistic Target

SOM is the percentage of SAM that your company can realistically capture, given its competition, resources, and market position. It indicates the highest possible market share based on your current skills. Continuing with the previous example, if your project management software competes with established companies, your SOM would reflect the consumers you could gain based on pricing, features, and marketing reach.

SOM gives the most practical knowledge for decision-making because it directly influences sales forecasting and revenue planning. It guarantees that organizations set achievable goals and use resources efficiently to maximize their market presence.

Why is measuring SOM important?

The Serviceable Obtainable Market (SOM) is an important indicator for determining a company’s actual market share in its target segment. It shows the company’s current market penetration and competitive position, providing information on how well the business performs in comparison to its competitors.

SOM assists firms in assessing their success in certain market segments, identifying gaps, and identifying growth prospects. Companies that understand their market share can customize measures to increase their visibility, improve customer retention, and gain a competitive advantage. For example, if a company discovers that its SOM is below expectations, it can take focused activities such as strengthening product offers or increasing marketing efforts.

Growing SOM necessitates smart initiatives. Companies can focus on market development by expanding into new geographies or customer categories, investing in product innovation to fulfill unmet requirements, developing a strong brand identity, and increasing customer acquisition through loyalty programs or digital marketing. Competitive pricing strategies and collaborations may also be important in gaining a larger piece of the market.

How Do You Calculate SOM?

SOM is calculated as a percentage of a company’s revenue or sales compared to the entire market revenue or sales for a given period. This figure clearly shows the company’s market share in its target market.

The formula for SOM is (Company’s Sales or Revenue ÷ Total Market Sales or Revenue) ×100.

For example, if a company makes $5 million in revenue and the overall market revenue is $30 million, the SOM is 16% = ($5 million ÷ $30 million) × 100.

This figure indicates how much of the market a company has captured, allowing it to fine-tune tactics for long-term success.

Key Metrics: The Role of TAM, SAM, and SOM in Market Segmentation

The combination of TAM, SAM, and SOM enables firms to take a disciplined and data-driven approach to market segmentation and strategy formulation. These measures are key benchmarks for determining market potential, prioritizing opportunities, and managing risks. Here is how they play a part.

  • Refining Market Strategies: By assessing TAM, SAM, and SOM, firms may discover the most profitable sectors and optimize their marketing and sales activities appropriately.
  • Improving resource allocation: Businesses that have a good grasp of the market’s scope and potential can better deploy resources—such as budget, manpower, and technology.
  • Supporting Product Development: TAM, SAM, and SOM data inform product innovation by highlighting unmet needs or developing trends in target categories.
  • Improving Sales Forecasts: Accurate SOM estimates generate realistic income projections, allowing firms to set attainable targets and track progress.
  • Mitigating Risks: Understanding market potential allows firms to avoid committing too many resources to low-value niches or unrealistic opportunities.

TAM, SAM, and SOM are the foundations of strategic planning, providing clarity and focus when navigating complex marketplaces. However, while the significance of these metrics is obvious, the difficulties associated with their manual calculation frequently impede their effective application. This is where automation comes in to help change the process.

Challenges of Manually Calculating TAM, SAM, and SOM

Calculating the Total Addressable Market (TAM), Serviceable Available Market (SAM), and Serviceable Obtainable Market (SOM) is critical for firms looking to better evaluate market potential, segment customers, and allocate resources. However, when these calculations are conducted manually, they pose major problems that can impair the accuracy and efficiency of decision-making procedures. The following are the primary issues of manually estimating TAM, SAM, and SOM, as well as their ramifications for enterprises.

a) Time-Consuming Process

It is time-consuming to calculate TAM, SAM, and SOM manually. It necessitates gathering information from several sources, including market studies, customer surveys, industry magazines, and internal databases. Once acquired, the data must be cleansed, confirmed, and evaluated, which takes time and work.

For example, pulling demographic information from one dataset and financial indicators from another may necessitate extensive manual effort to assure compatibility. This not only slows down the analysis but also takes important resources away from key business activities like product development or customer engagement.

In fast-paced sectors, such a delay might be disastrous. Market opportunities are sometimes transitory, and a delay in market analysis might result in missed opportunities or out-of-date plans. Furthermore, organizations in highly competitive marketplaces may lose an advantage if competitors can do these calculations more efficiently.

b) Data Inconsistencies

Another key problem is ensuring the correctness and consistency of TAM, SAM, and SOM calculations performed manually. Data comes from a variety of sources, each with its format, assumptions, and methods. Manually reconciling these variances is error-prone and frequently results in inconsistencies in final figures.

For example, one dataset may describe a given customer segment differently than another, resulting in overlapping or incomplete insights. Similarly, manual data entry is subject to human mistakes, such as inaccurate values or misaligned categories. Even little errors might compound, resulting in distorted calculations that misrepresent the market’s true potential.

Inconsistent data not only reduces the accuracy of TAM, SAM, and SOM estimates but also undermines confidence in the insights produced. Decision-makers may find it difficult to depend on the analysis, causing hesitancy in implementing plans based on these calculations.

c) Limited Scalability

Markets are dynamic, with customer preferences, competitive landscapes, and technology breakthroughs continually changing. Manual methods fail to keep up with these changes, making it difficult to update TAM, SAM, and SOM estimates in real time.

As datasets grow in size and complexity, human calculations become a major bottleneck. Businesses that are growing into new geographic regions or targeting varied customer categories, for example, may require extensive data analysis. Manually compiling and evaluating this data is not only time-consuming but also increasingly unfeasible as the company grows.

This lack of scalability might result in obsolete or partial insights, restricting a company’s capacity to respond to market changes. Businesses that rely on manual procedures may find themselves falling behind competitors who can use more agile and automated approaches.

d) Impact on Decision-Making

Manual calculations’ impact on decision-making may be the most crucial obstacle. Errors in TAM, SAM, and SOM estimates can have far-reaching effects, such as incorrect sales forecasts, misallocated resources, and poor strategic planning.

For example, overestimating TAM may cause a company to overinvest in product development or marketing, resulting in wasted resources if the real market potential is lower. In contrast, underestimating SAM or SOM may result in wasted opportunities when organizations fail to identify relevant consumer segments or market gaps.

Furthermore, manual processes frequently lack the speed and flexibility necessary for real-time decision-making. In a competitive market where timely and informed decisions are critical, relying on obsolete or erroneous data might result in severe disadvantages.

e) Addressing the Challenges

These problems underscore the importance of firms moving away from manual computations and toward automated solutions. Automation may make the process of gathering, cleaning, and analyzing data more accurate, consistent, and scalable. Businesses can get real-time insights on their TAM, SAM, and SOM by using tools like predictive analytics, AI algorithms, and data visualization platforms.

Automated solutions save time while simultaneously lowering the chance of errors, allowing organizations to make more confident and informed decisions. They enable the integration of multiple data sources, resulting in a more comprehensive perspective of the market. Furthermore, automation improves scalability, allowing organizations to better react to changing market conditions and preserve a competitive advantage.

Hence, Manually calculating TAM, SAM, and SOM poses several issues, including time-consuming processes and data errors, as well as limited scalability and erroneous decision-making. These difficulties might impede growth and competitiveness in today’s fast-paced, data-driven business environment. Businesses that embrace automation can overcome these challenges, streamline market analysis, and make better, data-driven decisions that create long-term growth.

Read More: SalesTechStar Interview with Don Cooper, Vice President of Global Alliances at Aras

The Role of Automation in Streamlining TAM, SAM, and SOM Calculations

In today’s fast-paced business climate, precise and timely market sizing is critical for making educated decisions and guaranteeing long-term sales growth. TAM, SAM, and SOM are essential measures that help firms evaluate market potential, refine strategy, and allocate resources. However, calculating these measures manually can be difficult and error-prone. This is where automation comes in, transforming how firms streamline TAM, SAM, and SOM calculations.

How Automation Works?

Automation uses modern technologies like artificial intelligence (AI), machine learning, and data analytics to streamline and improve market segmentation operations. It is important for sales growth as AI-powered analytics solutions are especially good at gathering large datasets from many sources, cleansing the data, and applying complex algorithms to extract meaningful insights which ultimately helps in increasing sales.

These tools allow firms to automatically identify target customer segments, examine geographic reach, and assess market potential without relying on labor-intensive manual methods. Automation guarantees that TAM, SAM, and SOM computations stay accurate and relevant, even as markets change.

Benefits of Automation in Market Sizing

Let us look at the benefits of automation in market sizing:

a) Reducing errors and ensuring consistency

Manual computations are prone to errors caused by irregularities in data entry, outdated information, or incorrect formulas. Automation mitigates these risks by standardizing methods and using proven datasets. This ensures that firms may use accurate data for sales growth projections and strategic planning.

b) Real-time updates to market data

Markets are dynamic, with trends, customer preferences, and competitive landscapes changing rapidly. Automated tools deliver real-time updates on TAM, SAM, and SOM data, allowing firms to instantly adapt their strategy. For example, if a competitor exits the market or new rules are introduced, automated systems can rapidly reflect these changes, providing a clear picture of future sales growth opportunities.

c) Faster turnaround time for critical insights

Traditional methods for computing TAM, SAM, and SOM necessitate time-consuming data collection and processing processes. Automation significantly reduces turnaround times, enabling businesses to make more prompt decisions. This agility is especially crucial in businesses where making quick judgments is critical to driving sales growth and staying ahead of the competition.

d) Enhanced Scalability

Markets and databases grow alongside businesses. Manual approaches struggle to keep up with this growth, but automation provides scalability, allowing businesses to handle larger datasets and more complicated market segmentation tasks.

Examples of Automation Tools for Market Sizing

We will take a brief look at the automation tools that are useful for market sizing and understand how they can be beneficial for sales growth:

a) Market Analysis Platforms

Popular platforms like HubSpot, Salesforce, and ZoomInfo offer robust automation capabilities to streamline market sizing. HubSpot, for example, provides tools to analyze customer data and segment markets, while Salesforce enables businesses to track sales performance and align strategies with market opportunities. ZoomInfo, on the other hand, specializes in delivering detailed market intelligence to refine TAM, SAM, and SOM calculations.

Platforms like HubSpot, Salesforce, and ZoomInfo’s automation capabilities contribute greatly to sales growth by optimizing firms’ market sizing and sales techniques.HubSpot’s solutions are great for evaluating customer data and segmenting markets, allowing firms to identify their most profitable customer groups. Sales teams can target these high-value categories and focus their efforts on prospects who are most likely to convert. This tailored strategy saves time and improves efficiency, resulting in more effective campaigns, higher closure rates, and, eventually, sales growth.

Salesforce helps firms to track sales success in real time and tailor their strategy to market opportunities. Aligning sales goals with accurate market information ensures that resources are allocated efficiently, resulting in increased sales growth. ZoomInfo provides granular market knowledge to help optimize TAM, SAM, and SOM calculations.

Businesses that have thorough insights into rivals, customer behavior, and market trends can make informed judgments regarding which markets to pursue and how to approach them. This kind of intelligence enables sales teams to modify proposals, confidently enter markets, and identify expansion prospects, all of which contribute directly to sales growth. Businesses may use these platforms to better market awareness, optimize operations, and maximize revenue potential all of which are crucial to generating sustainable sales growth.

b) AI-Powered Market Intelligence Tools

Advanced AI solutions like Crayon, Clearbit, and LinkedIn Sales Navigator can significantly boost sales growth by streamlining and optimizing market segmentation and revenue potential research. These platforms employ predictive analytics to assess customer behavior, identify future markets, and compute income potential. By automating these processes, businesses can dedicate more time to driving sales growth rather than manual data analysis.

LinkedIn Sales Navigator determines important decision-makers and prospect opportunities. This accurate segmentation allows sales teams to target high-value prospects, resulting in improved conversion rates and sales growth. These solutions use predictive analytics to assess customer behavior and identify overlooked markets faster than traditional approaches. Clearbit, for example, uses automated data enrichment to find hidden opportunities, while Crayon’s competition intelligence identifies gaps that sales teams might exploit.

LinkedIn Sales Navigator enables businesses to easily connect with relevant leads. This speed and efficiency in identifying revenue-generating prospects enables firms to direct resources where they will have the greatest impact, thus boosting sales growth. Clearbit’s richer customer profiles aid in determining which markets to focus on, while Crayon’s insight gives the context required to refine sales techniques. This data-driven strategy reduces guesswork and ensures that every choice is aligned with growth objectives, encouraging long-term sales development.

c) Customizable Dashboards

Businesses can use tools like Tableau and Power BI to create interactive dashboards that provide TAM, SAM, and SOM information. These platforms collect data from several sources and present a consolidated view of market potential and performance indicators. Customizable dashboards enable teams to track success in real time and focus their efforts on attaining long-term sales growth.

Tableau and Power BI make major contributions to sales growth by translating complex data into usable insights via interactive dashboards. By showing TAM, SAM, and SOM KPIs in an easy-to-use dashboard, sales teams can immediately assess the total addressable market, target market, and current market share. This consolidated perspective eliminates data silos and provides teams with a comprehensive awareness of growth potential, allowing for better-informed decisions that directly drive sales growth.

Customizable dashboards in Tableau and Power BI enable businesses to track key performance indicators (KPIs) including sales pipeline progress, revenue targets, and market penetration rates. Real-time updates provide a steady pulse on sales activity, allowing teams to pinpoint areas where changes are required. This agility guarantees that resources are optimized and aligned with the highest-yield prospects, which drives continual sales growth.

These technologies deliver TAM, SAM, and SOM data in a visual and actionable way, allowing sales leaders to quickly spot trends, customer preferences, and high-value categories. It promotes consistent sales growth because interactive dashboards improve collaboration among sales, marketing, and product teams by offering a common knowledge of market information. When all teams share the same data collection, they may better align their sales efforts.

Driving Sales Growth Through Automation

Automating TAM, SAM, and SOM computations is an effective technique for increasing sales growth because it provides firms with accurate, actionable insights that allow for better decision-making and resource allocation. These automated methods minimize the manual labor required for market sizing, allowing businesses to concentrate on high-impact operations that directly lead to revenue growth.

  • Driving Sales Growth Through Accuracy

Automation ensures market sizing precision by collecting, analyzing, and interpreting data from many sources with AI-powered analytics tools. This accuracy enables firms to find high-value consumer categories and untapped market prospects. For example, ZoomInfo and Clearbit evaluate market intelligence and customer behavior in real time, providing a clear picture of where to focus sales efforts. By integrating strategy with reliable data, businesses can target the right markets which will accelerate sales growth.

  • Enhanced Resource Allocation

By automating these computations, organizations can more efficiently distribute their resources. Rather than wasting time and money on broad or irrelevant markets, automation solutions assist sales teams in prioritizing the most profitable customer groups. Teams can monitor TAM, SAM, and SOM data using platforms such as HubSpot and Salesforce, ensuring that market prospects and sales strategies are aligned. This approach ensures long-term sales growth by directing resources toward the markets with the greatest potential.

  • Actionable Insights for Sales Teams

Sales teams benefit from automation because it provides them with actionable information that enables them to create tailored value propositions and enhance their strategy. Predictive analytics are used by tools such as LinkedIn Sales Navigator to find suitable prospects and pinpoint customer needs precisely.

By focusing on high-probability opportunities, sales teams may close agreements faster, resulting in consistent revenue growth. Automation in TAM, SAM, and SOM computations simplifies processes, eliminates errors, and provides a road map for effective market targeting. This clarity and precision enable organizations to capitalize on sales growth opportunities and sustain a competitive advantage, resulting in long-term revenue growth.

How Automation Enhances Sales Forecasting and Business Decisions?

In today’s fast-paced corporate world, automation is an essential tool for enhancing sales forecasting and driving informed decision-making. Automation, by employing real-time data and advanced analytics, provides businesses with the insights they want to remain competitive and achieve continuous growth. Let’s look at how automation improves forecasting accuracy, supports strategic decisions, and increases scalability and agility.

a) Improved Forecasting Accuracy

Sales forecasting is essential for anticipating income, creating budgets, and establishing realistic goals. Traditional forecasting approaches, which rely on manual data gathering and processing, are susceptible to inaccuracies, inconsistencies, and delays. Automation addresses these issues by leveraging real-time data and powerful algorithms to provide more accurate estimates.

Salesforce and HubSpot are examples of automated applications that smoothly interact with customer relationship management (CRM) systems, gathering data from a variety of sources such as previous sales, market trends, and customer behavior. These platforms employ predictive analytics to forecast future revenues more accurately. This means that firms can rely on accurate estimates, resulting in better decision-making. Improved forecasting accuracy reduces risks and lays the groundwork for sales growth, allowing organizations to better predict market demand and plan their activities accordingly. 

b) Informed Strategic Decisions

Automation enables firms to make more informed, data-driven strategic decisions. Companies that identify high-potential market segments can prioritize the areas that are most likely to deliver big profits. For example, tools such as ZoomInfo and Clearbit evaluate customer demographics, purchasing behavior, and industry trends to assist businesses in identifying profitable prospects.

Automation makes resource allocation more efficient. Tools such as Power BI and Tableau provide interactive dashboards that emphasize performance metrics, allowing management to focus funds, personnel, and time on the most important areas. Automation also assists organizations in anticipating market trends and rival activities, allowing them to alter their strategy proactively. This informed strategy ensures that teams focus their efforts on growth prospects, resulting in sustained sales growth.

c) Scalability and Agility

As firms grow, manual forecasting methods can become daunting, resulting in inefficiencies and missed opportunities. Automation reduces these barriers, allowing businesses to respond to market developments without overburdening their workforce.

Automated technologies, for example, can swiftly incorporate fresh market data to change forecasts and strategy, allowing organizations to remain responsive to changing consumer wants or economic conditions. Tools like LinkedIn Sales Navigator and AI-powered platforms like Crayon deliver real-time insights, allowing sales teams to adapt their strategy as needed. This scalability not only facilitates efficient operations but also positions organizations to capitalize on emerging trends, hence driving sales growth.

d) Enhanced Collaboration and Efficiency

Automation not only improves data quality but also increases team collaboration and efficiency. Centralized systems enable marketing, sales, and operations teams to access the same data, promoting collaboration and removing silos. Tools like Slack and CRM-integrated communication systems streamline workflows, ensuring that everyone is working toward the same goals based on shared information. This alignment improves execution and leads to better forecasting and decision-making results.

e) Future-Proofing with Automation

Companies must remain adaptable in an ever-changing business environment. Automation provides businesses with the tools and information they need to change rapidly, ensuring their future. Predictive analytics powered by AI not only anticipates sales but also detects possible dangers and opportunities, allowing firms to be resilient and competitive. Automation keeps businesses ahead of the competition by constantly refining tactics based on real-time insights, establishing a solid basis for long-term sales growth.

Automation revolutionizes sales forecasting and business decision-making by increasing accuracy, facilitating informed plans, and enabling scalability. Businesses may use tools like Salesforce, ZoomInfo, and Tableau to find growth possibilities, efficiently allocate resources, and react to changing markets. By implementing automation, businesses may streamline procedures, minimize errors, and allow teams to focus on creating long-term sales growth. The capacity to use real-time data and predictive insights improves decision-making while also positioning firms for a competitive advantage in a quickly changing landscape.

Sales Growth: Best Practices for Implementing Automation in Market Segmentation

In today’s changing market, firms must use data-driven insights to identify and target their potential customers. Automating market segmentation processes is critical for generating sales growth since it allows for the accurate identification of the Total Addressable Market (TAM), Serviceable Available Market (SAM), and Serviceable Obtainable Market (SOM).

a) Start with Clear Goals:

Before commencing any automation program, it is critical to establish clear goals. What specific business goals do you want to achieve with automated market segmentation?

  • Improved sales revenue: Businesses can maximize their sales and marketing efforts by precisely identifying and targeting high-value categories, resulting in improved revenue creation.
  • Improved lead quality: Automated segmentation identifies and prioritizes leads with the highest conversion potential, resulting in higher lead quality and less wasted sales efforts.
  • Enhanced customer acquisition costs: By focusing on the most promising categories, firms can lower customer acquisition costs while increasing overall marketing ROI.
  • Data-driven decision-making: Automated segmentation delivers important insights into market trends, consumer behavior, and competitor landscapes, allowing for data-driven decision-making throughout the organization.

b) Choose the Right Tools:

Selecting the appropriate tools is critical for successful automation and sales growth. Evaluate platforms based on your specific business needs, market complexity, and budget constraints. Consider factors such as:

  • Data integration capabilities: The platform should work easily with existing CRM, marketing automation, and data warehouse solutions.
  • Segmentation capabilities: Look for solutions that include advanced segmentation features such as predictive analytics, AI-powered clustering, and the ability to segment based on multiple criteria.
  • Ease of use: The platform should be simple to use and navigate, allowing your team to segment your target audience quickly and efficiently.
  • Scalability: Make sure the platform you choose can scale as your business grows and your data volumes increase.

c) Data Integration and Quality:

Ensuring seamless data integration and maintaining high data quality is critical for precise and trustworthy market segmentation, which boosts sales efforts.

  • Integrate all necessary data sources: Combine information from a variety of sources, including CRM, marketing automation tools, website analytics, social media, and third-party data suppliers.
  • Data cleaning and enrichment: Use data cleansing techniques to detect and repair mistakes, inconsistencies, and duplication. Use data enrichment technologies to increase data correctness and completeness.
  • Data Governance: Establish clear data governance policies to assure data accuracy, security, and compliance with applicable requirements.

d) Train Teams:

Invest in training programs that will teach your sales and marketing teams how to leverage the information given by automated market segmentation.

  • Data literacy: Teach your teams how to evaluate and interpret data, assess market trends, and find crucial insights.
  • Tool proficiency: Provide instruction on how to utilize the chosen automation tools efficiently and to their full potential.
  • Sales and marketing alignment: Encourage collaboration between sales and marketing teams to ensure that insights gained from automated segmentation are successfully applied throughout the customer experience.

e) Iterate and Improve:

Market segmentation is a continual activity. Continuously monitor and analyze the efficacy of your segmentation techniques, identifying areas for improvement and refining your approach in response to new data and market trends.

  • Regularly review the segmentation criteria: Analyze campaign results, customer feedback, and market trends to uncover opportunities for improvement and fine-tune your segmentation criteria.
  • Experiment with new approaches: Investigate new segmentation strategies and technologies to continually improve your targeted efforts.
  • Keep up with the newest industry trends: Keep up with the newest developments in market segmentation, AI, and other emerging technologies.

Businesses that follow these best practices can use automation to streamline their market segmentation efforts, better identify their ideal customers, and eventually drive considerable revenue and sales growth.

Case Study: Automation in Action

This case study looks at how a B2B SaaS company successfully automated its TAM, SAM, and SOM research, resulting in significant increases in sales growth.

The Challenge:

Before deploying automation, the company depended primarily on manual research and spreadsheets to categorize its markets. This strategy was time-consuming, error-prone, and lacked the detail required to properly target high-value consumers. As their customer base grew, the manual procedure became more inefficient, limiting their capacity to scale their sales operations.

The Solution:

To solve these difficulties, the company invested in a cloud-based market intelligence platform that used artificial intelligence and machine learning. This platform combined data from a variety of sources, including CRM, marketing automation, and third-party data suppliers, to deliver a comprehensive perspective of their target market.

  • Automating TAM Analysis: The software allowed the company to automatically determine the total market size and potential of its product. By assessing industry trends, competitive landscapes, and macroeconomic factors, the platform delivered a dynamic and current perspective of the entire addressable market.
  • Define SAM with Precision: The platform facilitated the TAM’s division into the Serviceable Available Market. By examining characteristics such as company size, industry, revenue, and technology adoption, the organization was able to properly define the subset of the market that could be served with their current resources and skills.
  • Identifying the SOM: Using AI-powered algorithms, the platform assisted the organization in determining the Serviceable Obtainable Market – the precise sector of the SAM that the company could realistically target and capture with its present sales and marketing activities. This included assessing competitive intensity, customer focus, and the company’s competitive advantages.

The Impact and Key Takeaways

This case study demonstrates how automation can improve market segmentation and drive sales growth. Businesses can overcome the traditional obstacles of TAM, SAM, and SOM analysis by utilizing AI-powered platforms and combining data from several sources. Accurate market segmentation is critical for any firm looking to achieve long-term sales success. It allows firms to:

  • Identify and target your ideal customers: Focus your sales and marketing efforts on the most promising sectors.
  • Optimize resource allocation: Allocate resources efficiently based on market potential and competition intensity.
  • Reduce the cost of acquiring customers: Targeting high-value categories can help you save money on new customer acquisitions.
  • Gain a competitive edge: Differentiate themselves from competitors by gaining a thorough understanding of their intended market.

The company’s sales increased significantly as a result of precisely identifying and targeting high-value areas. Furthermore, automated segmentation resulted in a considerable increase in lead quality, leading to improved conversion rates and shorter sales cycles. This, in turn, led to increased sales and improved overall sales efficiency.

Automating data analysis and segmentation allowed sales and marketing professionals to concentrate on higher-value activities like developing connections with key accounts and closing transactions. This shift in focus has been a significant driver of revenue growth for the corporation. Using accurate market data and segmentation insights, the organization was able to enhance its sales forecasting accuracy, allowing for better resource allocation and more effective planning.

This increased forecasting has led to more predictable and sustainable sales growth. Finally, by investing in the right tools and technologies, harnessing AI and machine learning, and cultivating a data-driven culture, businesses can realize their full market potential, drive sales growth, and achieve long-term success.

As a result, this case study demonstrates how automation may revolutionize market segmentation and drive sales growth. Businesses can overcome the traditional obstacles of TAM, SAM, and SOM analysis by utilizing AI-powered platforms and combining data from several sources. Accurate market segmentation is critical for any firm looking to achieve long-term growth. It allows firms to:

  • Identify and target your ideal customers: Focus your sales and marketing efforts on the most promising sectors.
  • Optimize resource allocation: Allocate resources efficiently based on market potential and competition intensity.
  • Reduce the cost of acquiring customers. Targeting high-value categories can help you save money on new customer acquisitions.
  • Gain a competitive advantage: Set yourself apart from competitors by acquiring a thorough understanding of their target market.

While using automation requires an upfront investment in technology and training, the long-term benefits are significant. Businesses that adopt automation can increase efficiency, gain better market insights, and ultimately meet sales and revenue targets.

Final Thoughts

Understanding TAM (Total Addressable Market), SAM (Serviceable Available Market), and SOM (Serviceable Obtainable Market) is essential for increasing sales and mastering market segmentation. These frameworks offer firms a disciplined strategy to measure market potential, prioritize target consumers, and allocate resources efficiently. Automation has become an essential tool for companies looking to streamline TAM, SAM, and SOM computations. By decreasing errors, ensuring real-time updates, and providing faster insights, automated technologies enable businesses to focus on strategic efforts that promote sales growth.

By implementing these models, businesses can not only discover the best expansion prospects but also avoid the traps of overestimating their capabilities or targeting the wrong sectors. Traditional methods of market study, while useful, frequently bring obstacles such as time consumption, human error, and difficulty adapting to changing market conditions. This is where automation comes in as a game changer. Artificial intelligence and machine learning tools help to expedite data processing, improve forecasting accuracy, and minimize inefficiencies.

Platforms like HubSpot, Salesforce, and AI-powered analytics tools make market segmentation easier, allowing firms to remain adaptable and competitive in today’s dynamic marketplaces. Finally, automation enables businesses to make data-driven decisions that optimize resource allocation, boost market positioning, and open up new opportunities for sales growth. As markets adapt, embracing automation will remain an important step for firms looking to attain scalability and long-term success.

These automated solutions enable firms to respond quickly to market dynamics, resulting in faster decision-making and more precise resource allocation, which drives sales growth. To prosper in today’s dynamic business environment, firms must embrace automation’s revolutionary power. Adopting automation solutions not only improves market segmentation but also creates the groundwork for more informed, data-driven decisions. Businesses should take action now to integrate automation into their strategic processes since doing so will allow them to reach their maximum sales growth potential and achieve long-term success.

Hence, In today’s dynamic and competitive market, firms must use data-driven approaches to market segmentation. Organizations may achieve long-term success by investing in the proper tools and technology, using AI and machine learning, and cultivating a data-driven culture which ultimately leads to sales growth.

Read More: Empowering Sales Teams Through Customized Leadership and Moving Beyond One-Size-Fits-All Approaches