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Centric Software Sets Retail Innovation Benchmark with Updates to Centric PLM™

LSPACE Adopts Centric PLM to Streamline Design, Development and Boost Collaboration (PRNewsfoto/Centric Software)

New UI, enhanced supplier collaboration and AI-powered features reflect Centric’s commitment to speed, simplicity and continuous innovation.

Centric Software® unveils the latest evolution of its market-leading Product Lifecycle Management (PLM) platform: Centric PLM™ 8.0. This powerful release introduces major breakthroughs, designed to disrupt outdated workflows and unlock innovation across global product lifecycles for fast-moving goods such as retail, fashion, luxury, outdoor/sports and footwear. Centric Software provides the most innovative enterprise solutions to plan, design, develop, source, buy, make, price, allocate, sell and replenish products such as fashion, luxury, footwear, outdoor, home, cosmetics & personal care as well as multi-category retail to achieve strategic and operational digital transformation goals.

This new Centric PLM is a strategic reset. Anchored by a reimagined user interface, next-gen collaboration features, embedded AI capabilities and significant performance improvements, Centric PLM reflects Centric Software’s relentless investment in innovation that drives real business outcomes.

“We innovate with purpose, driven by customer needs. Centric PLM 8.0 redefines speed, collaboration and user experience,” says Ron Watson, EVP Product & CSO at Centric Software. “We rebuilt the UI from the ground up. The new sidebar removes friction so users stay focused on product creation, not system navigation. Each feature is engineered to empower creative and technical teams to operate at the speed of the market and that’s what we’ve delivered.”

Read More: SalesTechStar Interview with Sahil Rekhi, Chief Revenue Officer at Graia

Centric PLM High-Impact Innovations:

  • Integrated AI that Accelerates the Product Lifecycle: Centric Software delivers a growing library of embedded, configurable AI use cases that drive measurable impact across design, sourcing and development. Unlike bolt-on tools, Centric’s AI is built into the PLM workflow and can be tailored to proprietary workflows, enabling faster, data-driven decisions. A standout example is Centric AI Fashion Inspiration, which empowers fashion, outdoor and home teams to explore new creative directions and speed up time to market by combining internal product data with real-time trend insights.

  • Revolutionary Sidebar Navigation: Built with fast-moving brands, retailers and manufacturers in mind, the new sidebar navigation is a refined, intuitive redesign that puts every essential function just one click away. Designed for speed and simplicity, this sleek new layout cuts through the clutter of complex hierarchies, making even the most detailed product data instantly accessible to boost focus, streamline work and empower design, merchandising and development teams to respond with agility to ever-changing needs.

  • Mobile PLM with the Centric Mobile App: Stay connected wherever work happens. The Centric Mobile App gives global teams flexible, mobile access to PLM data, from studio to showroom to factory floor. Used by leaders in fashion, outdoor and home, the app enables users to edit styles and materials, capture and annotate product photos and scan barcodes/QR codes for instant access, all from a phone. It’s mobility without compromise, driving fast, informed decision on the go.

  • Streamlined Supplier Collaboration: Supplier collaboration is now easier and faster with a unified, real-time platform built for both creative input and operational efficiency. Whether co-editing size charts, enabling agent-led style development or managing supplier requests in the background, every feature is designed to reduce delays enable deeper collaboration. Targeted in-platform messaging keeps communication focused, contextual and productive.

  • Sustainability Without the Guesswork: Centric PLM introduces a comprehensive sustainability framework that adds clarity to compliance and traceability. Automated roll-ups of materials, centralized certificate tracking and configurable rules for global regulations give fashion and consumer goods companies, the tools to eliminate manual tracking and back sustainability claims with hard data.

Read More: Beyond CRM: How SalesTech is Shaping the Future of Deal Management?

“Centric PLM 8.0 is a catalyst for transformation and is built to drive competitiveness for brands, retailers and manufacturers,” says Chris Groves, CEO of Centric Software. “Each innovation we deliver is market-driven and shaped by our Customer Advisory Board (CAB), ensuring we focus on what matters most to our users. From embedded AI to enhanced user experiences, we’re investing in what helps our customers succeed. As global complexity increases, Centric PLM is the foundation that empowers teams to move faster, collaborate deeper and innovate without limits.”

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

Olto Raises $5.1M to Transform B2B Sales with AI, Starting with the World’s First AI Demo Engineer

Former Amazon Execs Apply Consumer Personalization to B2B Sales Demos, Backed by Nexus Venture Partners and TheGP

ReturnPro Relaunches Direct Liquidation Platform

New features help sellers recover profits and buyers save on wholesale purchases

ReturnPro, the industry leader in returns management and reverse logistics, announced the official relaunch of Direct Liquidation, the ultimate destination for high-quality returns, overstock, and end-of-life inventory from top retailers and brands.

Rebuilt from the ground up, the all-new Direct Liquidation platform delivers a faster, smarter and more transparent wholesale experience, purpose-built for the demands of volume buyers and professional resellers. With enhanced search, real-time data, and powerful tools to streamline sourcing, Direct Liquidation is redefining how the secondary market does business.

Read More: SalesTechStar Interview with Sahil Rekhi, Chief Revenue Officer at Graia

New features of the redesigned platform include:

  • Offer-based buying: While the site previously used solely an auction format, Direct Liquidation has evolved its model so buyers can now make offers directly with sellers, and negotiate pricing in real time for faster, more flexible transactions.
  • Multi-pallet checkout: Buyers can now purchase multiple pallets from different retailers and manufacturers in one transaction, making the process easier than ever.
  • Delivery deals: The revamped site will provide shipping advantages to save buyers money by allowing them to add more pallets to a delivery for the same price. Direct Liquidation now also manages all shipping to simplify the process for buyers.
  • Deposits on offers: Buyers will now be required to provide a deposit on pallets to show that they truly intend to purchase, helping sellers move inventory more efficiently and reducing time wasted on abandoned offers.
  • Restocking fees for canceled orders: Newly imposed fees help protect seller revenue and reduce abandoned carts, making it more likely that buyers stick to their orders.

AI powers the new platform’s offer-based buying model, combining automation with human oversight to ensure fair pricing. The technology analyzes each pallet’s manifest alongside Manufacturer’s Suggested Retail Price (MSRP) data to generate smart counter-offers in real time. Sellers can also see how often offers are accepted, countered, or abandoned – giving them valuable insight into buyer behavior and helping quantify the likelihood of closing a sale.

“All great products call for even better innovation, and our team was committed to making the best possible version of Direct Liquidation,” said David Malka, Chief Sales Officer of ReturnPro, the parent company of Direct Liquidation. “This relaunch creates a faster, more transparent experience for buyers, and our AI tools help sellers recover more profit with less hassle. We believe this is the future of wholesale.”

Read More: SalesTech for Sales Email Engagement – What Works and What Doesn’t

Beyond the technology updates, this relaunch reflects ReturnPro’s broader commitment to innovation, consumer-first design, and reshaping the returns ecosystem. While many liquidation sites are slow and lack the features offered in a typical eCommerce experience, Direct Liquidation delivers a fast, transparent, and profitable experience. With real-time offers, AI-powered counteroffers, and bulk checkout tools, it simplifies sourcing pallets and truckloads. Smarter logistics and clear accountability make it the most efficient way to buy liquidation inventory. Direct Liquidation’s focus is not just moving pallets to make a quick profit; it is to best serve sellers and buyers through its new features to make it so everyone can win.

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

Propel Software Partners with Razorleaf to Deliver Seamless PLM Integration to PDM and ERP

Combined Solution Improves Information Flow, Reducing Process Friction

Propel, creator of the first product value management (PVM) platform to transform how businesses create, market, sell, and service products, announced a strategic partnership with Razorleaf to provide advanced product data management (PDM) and enterprise resource planning (ERP) integration to Propel. Razorleaf is a globally recognized systems integrator specializing in engineering and manufacturing technologies. Its easy-to-use, standardized platform, CLOVER, enables Propel customers to create a complete digital product thread that evolves with business needs to improve collaboration and drive faster product development.

Propel Software Partners with Razorleaf to Deliver Seamless PLM Integration to PDM and ERP

Built on Salesforce – one of the world’s most adopted and secure business platforms – Propel is the only solution that unifies product definition, quality, and commercialization by combining three software categories that have been historically siloed: product lifecycle management (PLM), quality management (QMS), and product information management (PIM).

Read More: SalesTechStar Interview with Sahil Rekhi, Chief Revenue Officer at Graia

This partnership combines Razorleaf’s deep knowledge of integrating and migrating product data across domains including PDM, PLM, MES and ERP with Propel’s powerful PVM platform. With more than 50 connectors and steadily adding more, Razorleaf’s CLOVER platform integrates Propel’s PVM with leading PDM systems (SOLIDWORKS, Autodesk, Creo) and enterprise platforms (NetSuite, SAP, Oracle). This collaboration creates a seamless digital thread, ensuring secure, traceable data flow across the product lifecycle. The result: engineering data moves smoothly and securely across systems, improving traceability, version control, and change management throughout the entire product lifecycle.

“Today’s manufacturers require seamless integration between their design data management tools, PLM systems, and ERP,” said Eric Schrader, Chief Product Officer, Propel. “Our partnership allows customers to eliminate silos between engineering and downstream teams, providing a cohesive environment to review and accept design changes within a single product thread – accelerating innovation cycles while ensuring data consistency across the enterprise.”

“We’re excited to collaborate with Propel to deliver PDM and ERP integrations that empower engineers and unify data across PLM, QMS, and PIM,” said Eric Doubell, CEO at Razorleaf. “Together, we’re enabling clients to connect their digital engineering processes, drive innovation, and make smarter, faster business decisions.”

Read More: SalesTech for Sales Email Engagement – What Works and What Doesn’t

Key benefits of the partnership include:

  • Automated design data and ERP syncing with PLM
  • Greater visibility into engineering data across the product lifecycle
  • Reduced manual effort and data duplication
  • Minimized complexity and costs traditionally associated with systems integration

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

New Simbe Survey Reveals Retail’s Shelf Execution Gap Is Undermining Shopper Trust – But In-Store Automation is Bridging the Gap

Study finds widespread pricing errors, stockouts, and online order issues across major U.S. grocery chains—widening the shopper trust gap and underscoring the critical role of automated shelf execution in restoring confidence.

Simbe, the global leader in in-store visibility and AI-powered automation, released findings from a new independent survey of over 1,000 U.S. grocery shoppers. The study uncovers a critical and often overlooked factor shaping retail loyalty: execution at the shelf. While overall satisfaction with grocery retailers remains high, many shoppers hesitate to actively recommend their primary store––pointing to a growing “execution trust gap” fueled by price mismatches, stockouts, and inconsistencies between digital and in-store experiences.

However, the survey also points to a powerful solution for retailers: in-store automation is key to restoring shopper trust. Most shoppers who have seen retail robots in action report an improved perception of the store and a higher likelihood of returning, which signals growing consumer confidence and favorability for technology that enhances their shopping experience.

“Shoppers loyalty hinges not just on the price on the shelf, but whether it matches at checkout, and if the product is actually in-stock,” said Brad Bogolea, CEO and Co-Founder of Simbe. “Operational execution is now one of the strongest signals of a retailer’s brand reliability—and a key driver of long-term trust. It’s encouraging to see how clearly customers are embracing in-store robotics as part of that improved shopping experience.”

Read More: SalesTechStar Interview with Travis Rehl, CTO and Head of Product at Innovative Solutions

Key findings from the survey include:

  • Nearly half (48%) of shoppers have experienced pricing mismatches or promotional errors at checkout, a common point of frustration that silently erodes trust.
  • 1 in 3 shoppers encounter out-of-stocks at least “sometimes,” particularly during promotional periods.
  • Online order issues are widespread: 25% report delays, and 20% cite frequent substitutions or inaccuracies.
  • Among those who have seen in-store robots, 97% say the technology either improves or maintains their perception of the store. Similarly, 99% say the presence of robots makes them more likely or as likely to shop there again.

“These data points tell a larger story: retailers are losing shopper confidence where it matters most––at the shelf,” said Caitlin Allen, SVP of Market at Simbe. “In-store automation is emerging as a powerful solution to combat this issue. When executed well, it addresses operational gaps while strengthening shopper perception and reinforcing trust.”

Read More: Why Pipeline-Driven Sales Will Dominate and Become the New Era of Sales Efficiencies

The recent State of In-Store Retailing report from Simbe and Coresight Research reinforces this shift. Planned investment in store intelligence technologies is up 151% year-over-year, and 66% of retailers surveyed have already begun implementing these tools. Among them, shelf-digitization technologies—including robotics—saw the largest jump in adoption, underscoring their growing role in improving operational efficiency and building shopper trust.

Simbe commissioned the shopper survey through a third-party research firm, Diagnostic Measurement Group, collecting data from a nationally representative sample across ten major U.S. grocery banners. All retailer-specific results remain confidential; public insights reflect aggregate or anonymized trends.

The report is part of Simbe’s broader mission to help retailers modernize store operations through real-time shelf intelligence, AI, and automation. Simbe’s platform powers execution across pricing, inventory, and merchandising—making the in-store experience more reliable for shoppers and more efficient for teams.

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

100% of Revenue Teams Now Use GenAI; 51% Say It’s Shortening Sales Cycles

Allego’s 2025 AI in Revenue Enablement Report Reveals Rapid Shift from Experimentation to Execution—and What’s Coming Next

New research released by Allego, Inc., the leader in AI-powered revenue enablement technology, shows AI has officially gone mainstream across revenue teams—moving from experimentation to execution in just one year.

The 2025 AI in Revenue Enablement Report reveals that 100% of surveyed leaders now use generative AI (GenAI) to support sales, marketing, and customer success, up from 62% in 2024. Nearly half (47%) say AI has already boosted revenue, while 51% report shorter sales cycles and faster onboarding.

AI is no longer a promising tool. It’s delivering real, measurable outcomes. And in high-pressure markets, where speed is critical to sales success, AI ensures revenue teams move faster, respond smarter, and achieve results without delay.

Read More: SalesTechStar Interview with Sahil Rekhi, Chief Revenue Officer at Graia

“Incorporating AI into sales and marketing is now a strategic advantage,” said Yuchun Lee, CEO and co-founder of Allego. “The companies pulling ahead are the ones embedding AI into the rhythm of daily work to drive smarter decisions, better coaching, and more meaningful buyer engagement. This year’s report makes clear how AI is already delivering business impact. And it previews the next chapter in the evolution of AI-powered enablement: practical agentic AI.”

The report, based on a survey of 346 B2B revenue enablement leaders, outlines eight key findings about how AI is reshaping revenue performance. Among the most notable:

  • 81% of teams now use AI to create content such as sales presentations and emails, up from just 28% in 2024
  • 60% use AI to deliver real-time feedback during sales calls
  • 63% say coaching quality has improved with AI
  • 55% of leaders prioritize content personalization—and some report larger deal sizes as a result
  • 83% of leaders say AI skills are essential in new hires

At AAA Life Insurance, the impact is already evident. Devin Gaffney, Lead of Sales Training and Professional Development, says Allego’s AI helps scale coaching across large advisor teams and build sellers’ confidence.

Read More: SalesTech for Sales Email Engagement – What Works and What Doesn’t

“Confidence is everything in sales—and tools like Allego’s AI-powered dialog simulators are helping us build that confidence at scale,” Gaffney said. “They give our agents a safe space to practice and prepare before working with live instructors, which removes a lot of the stress that typically comes with traditional role-play. Even our compliance team is excited because now we can actually measure skill transfer, not just test scores.”

While AI adoption is high, the report also points to ongoing challenges, including AI skills gaps, change management, and integration hurdles. To close these gaps, leaders are increasingly turning to practical agentic AI, a new class of technology that acts on behalf of the user to automate tasks, deliver insights, and guide action in real time without requiring prompts or technical fluency.

Looking ahead, 91% of leaders say they plan to invest further in AI in the next 12 months, with top priorities including personalized content, AI-powered sales coaching, and conversational AI.

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

TakeUp Unlocks Instant AI-Powered Pricing for RMS Customers in New Integration Rollout

TakeUp, the AI-powered revenue management platform purpose-built for independent hospitality properties, announced a new integration with RMS, a leading provider of all-in-one property management software. This integration allows RMS’ 7,000+ global customers to activate TakeUp’s dynamic pricing platform directly through the integration with their PMS—no technical expertise or complicated setup required. The result: faster, smarter rate decisions that drive revenue without adding to operators’ workloads.

While many tech partnerships promise simplicity, this collaboration goes a step further, solving a real operational challenge by combining intelligent automation with expert human oversight. For independent hospitality teams stretched thin, the integration delivers not just AI-powered pricing, but a dedicated revenue strategist who helps guide decisions and align rate strategy with business goals.

“Automation without insight is just noise,” said Bobby Marhamat, CEO of TakeUp. “Hospitality operators don’t need another tool, they need results. That’s why this integration matters. RMS gives operators the infrastructure they trust, and we bring the pricing firepower: AI that never sleeps, paired with a real revenue strategist who knows how to move the needle.”

Read More: SalesTechStar Interview with Sahil Rekhi, Chief Revenue Officer at Graia

Revenue Management, Minus the Manual Work

RMS customers can connect TakeUp’s platform with just a few clicks. Once active, TakeUp monitors market trends, guest behavior, search volume and conversions in real time to deliver dynamic pricing updates daily, freeing operators from the spreadsheet grind and guesswork.

Designed specifically for independent properties—boutique hotels, inns, glamping retreats, and B&Bs—TakeUp translates enterprise-grade revenue tactics into an intuitive solution that fits the realities of lean hospitality teams.

“We’ve always believed the best technology should feel invisible,” said Adam Seskis, CEO of RMS. “This partnership is a perfect example. Our customers want to spend less time managing rates and more time delivering exceptional guest experiences. Together with TakeUp, we’re making that shift possible.”

Read More: SalesTech for Sales Email Engagement – What Works and What Doesn’t

An Ecosystem Built for Real-World Operations

The integration builds on RMS’s commitment to offering a customizable tech stack tailored to each property’s needs. TakeUp’s arrival into the ecosystem expands operators’ ability to optimize revenue without additional tools, logins, or complexity.

Key Benefits:

  • Rapid activation: No-code setup means revenue optimization starts at day one.

  • Always-adapting pricing: AI updates rates daily based on real-time demand shifts.

  • Dedicated strategist support: Human oversight aligns automation with each property’s unique goals.

  • Fits any size or style: From cozy inns to experiential retreats, TakeUp adjusts to the unique demand of each property.

Making Revenue Strategy Effortless

In a saturated market of tech stack announcements, this integration delivers something far more valuable: operational clarity. By removing friction from pricing decisions and embedding advanced strategy into daily operations, RMS and TakeUp are empowering operators to shift from reactive to revenue-ready without extra effort.

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

Ecolab Launches AI-Powered Solution Designed to Optimize Restaurant Operations and Improve Guest Satisfaction

RushReady, Ecolab’s latest foodservice technology, streamlines back-of-house operations for elevated business success

Ecolab Inc., a global sustainability leader offering water, hygiene and infection prevention solutions and services that help protect people and the resources vital to life, announced the launch of Ecolab® RushReady™, a new AI-powered program within its Ecolab® KitchenIQ™ platform. Designed to help restaurant leaders improve shift performance and profitability, RushReady combines real-time data, intelligent recommendations, and human coaching to tackle the complexities of daily operations and elevate the overall experience for guests.

The engagement begins with a connection into each restaurant’s unique data sources, enabling the platform to work on transforming back-of-house operations through:

  • RushReady AI-driven recommendations that help general managers (GMs) meet their goals against the two critical metrics of speed of service and sales per labor hour by optimizing prep inventory, adjusting staffing levels, and prioritizing tasks.
  • RushReady streamlined processes made possible by the AI-insights derived from analyzing disparate data sources, including point of sale, labor management, and kitchen display systems.
  • RushReady operational performance grounded in enhanced analytics and proactive alerts, helping managers anticipate issues and maintain smooth operations.
  • RushReady reports that summarize performance and insights against speed of service and sales per labor hour, which enable optimization across dayparts and dine-in, drive-thru, and takeout channels.

Read More: SalesStarTechStar Interview with Arnaud Lagarde, VP of Sales at ABBYY

To drive adoption and execution, the program also includes a dedicated Ecolab Performance Coach to provide in-person expertise on interpreting the data and insights to motivate staff and enhance productivity. This collaborative partnership enables restaurant leaders to refine their strategies for improved performance and sales.

“Ecolab has been an integral part of the foodservice industry for more than a century, so we know what it takes for every restaurant to perform at its very best, especially during a rush,” said Maarten Potjer, executive vice president, innovation growth strategy, Ecolab. “With RushReady, we are combining the insights from AI together with our industry expertise to make the jobs of restaurant operators easier.

“RushReady equips GMs and their teams with the tools and insights needed to excel in today’s competitive landscape. By transforming data into actionable strategies, we help them run more efficient, profitable operations. Our performance coaches and digital technology work alongside the GM to elevate results and ensure restaurant teams are ready for the morning, lunch, and dinner rush.”

Read More: From Linear Pipelines To Revenue Meshes: How Salestech Is Powering Nonlinear, Multi-Threaded Deal Dynamics?

This innovation combines Ecolab’s industry expertise and Microsoft’s advanced AI capabilities, enabling restaurant leaders to seamlessly integrate disparate systems and easily uncover insights that were previously out of reach.

“RushReady, built on Microsoft Azure, uses advanced AI, including generative analytics, to deliver actionable insights that streamline operations, enhance efficiency, and boost profitability,” said Aaron Schnieder, vice president, emerging technologies at Microsoft. “This innovation showcases how cutting-edge technology empowers frontline teams, enabling general managers to elevate performance and transform customer and employee experiences.”

RushReady is the newest module in the KitchenIQ portfolio. KitchenIQ is Ecolab’s powerful digital operations platform that combines back-of-house technologies into one cohesive solution for restaurant operators—designed to help every restaurant leader achieve exceptional outcomes. Now, with the launch of RushReady, KitchenIQ expands its capabilities to deliver even greater value through AI-driven insights and human coaching.

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

Pipedrive Annual State of Sales & Marketing: Healthier Work Models Proving to Be the Key to Sales Success

Pipedrive report finds AI adoption improves productivity, but burnout, economic headwinds and work model challenges impact sales results

SalesTechStar Interview with Nima Hakimi, CEO of Convoso

Nima Hakimi, CEO of Convoso comments on the current technologies driving contact center performance in this catch up with SalesTechStar:

_________

Hi Nima tell us about yourself and your role at Convoso

I’m Nima, I co-founded the company with my brother, Bobby Hakimi [Chief Product Officer], in 2006.

We’d love the top highlights of Convoso Ignite, how does it benefit end users?

We’re seeing a lot of benefits for our customers using Convoso Ignite.

First, it automates the procurement and management of DIDs, which means a lot of time savings and less risk due to human error resulting from what used to be a very labor-intensive manual process.

It provides a DID health score, which is much more meaningful and accurate.  The old way of looking at DIDs was a binary approach– they were either good or bad. However, Convoso Ignite scores them on a scale of 1 to 100, based on usage, flags, and performance with different carriers.

Finally, Convoso Ignite employs real-time dialing optimization, which means that for every call placed, Ignite selects the best DID for that situation, taking into account the carrier, lead, and campaign context. This is the key to driving higher contact rates.

Jeramee Douglass, Workforce and Telephony Administrator at Quintessa Marketing, (our customer) told us: “We’re seeing a lot of success since we started on the Convoso Ignite beta. The contact rate on our leads has doubled – we went from around 4.5% to about 9% contact rate, and that’s including leads that are over 30 days old.”

To briefly recap, the key benefits for end users are:

  • Fewer flagged calls
  • Higher contact rates
  • Lower admin overhead
  • Smarter spend per lead
  • More sales conversations

Read More: SalesTechStar Interview with Sahil Rekhi, Chief Revenue Officer at Graia

What should contact centers today focus on more to optimize digital transformation efforts and help their team members reduce the extent of manual labour?

Without automation, contact centers cannot scale. Their campaigns and overall operations will be far less efficient than those of their competitors, who have automated technologies and processes. This means they will not only be less competitive, but their costs will be higher and their revenue will be lower.

We’ve seen many businesses transition from manual operations to the intelligent, automated functionalities of our platform, experiencing substantial improvements in their cost per acquisition, contact rates, revenue, and, importantly, agent morale and productivity.

Contact centers should review their tech stack and consider how easily and efficiently their technologies integrate to optimize campaign operations.

Their dialing platform should not only provide a fast connection rate to leads [eg, in less than three seconds], but intelligent workflow automations that recycle those leads into dialing cadences and multi-channel outreach. They should have auto-dialing capabilities at scale to handle multiple campaigns simultaneously. Other critical tools contact centers today should be taking advantage of include answering machine detection, caller ID reputation management, built-in compliance management, and real-time reporting with predictive analytics.

What tips would you share with outbound teams to enable better optimization of workflows based on current industry challenges?

Outbound contact centers today face mounting pressure to do more with less, as rising lead costs, declining contact rates, and tightening compliance regulations challenge traditional workflows. To meet these demands, many teams are moving away from manual processes and embracing intelligent automation to streamline operations, reduce agent fatigue, and improve outcomes. Key strategies include using automated dialing cadences, real-time lead recycling, omnichannel outreach, and advanced voicemail detection to ensure agents spend more time in productive conversations.

Workflow optimization also hinges on visibility and adaptability. Contact centers that prioritize real-time reporting and campaign analytics can quickly identify performance gaps, adjust outreach strategies on the fly, and better allocate resources. Integrating tools that support caller ID reputation management, compliance monitoring, and skills-based routing further reduces risk and boosts efficiency across campaigns.

Ultimately, the most resilient outbound teams are those that treat workflow optimization as a dynamic process. By combining automation, data-driven decision-making, and seamless technology integration, they’re able to navigate industry headwinds while maintaining high performance and compliance standards.

How can outbound teams effectively use AI to boost their processes and outcomes?

Artificial intelligence is, of course, what everyone is talking about, and they have the sense that they should be using it somehow. But in the case of outbound revenue teams, it’s not that they should be “using AI” so much as using technologies with built-in AI that give them the benefits of intelligent functionalities.

You buy a car with a powerful engine and the capabilities you’re looking for to provide you with a smooth driving experience, but, unless you’re a mechanic and a car enthusiast, you’re not shopping for engines or computer technologies to add to your vehicle. The same with sales teams – they need to invest in AI-powered technologies that play well together and not worry about how they should be adding AI to their current processes.

Five thoughts on the future of contact center software?

Based on where we are now, some of this will not be new, but indeed, the trends show that emphasis should be given to these areas:

  1. Carrier flagging will reshape outreach strategy.  Carriers have become much more aggressive and sophisticated in their call blocking and caller ID flagging. They have basically been given safe harbor to slap flags on any calls based on carrier algorithms, without any regard for whether that call was placed to a consumer who had in fact given their consent to be contacted by the company making that call. As a result, compliant-minded companies are being caught in the traps meant for bad actors and illegal robocallers. Given this situation, contact centers are being forced to develop new strategies and technologies to connect with leads more effectively. Software platforms will need to offer more dynamic, real-time tools to monitor and automate managing phone number reputation. The ability to adapt quickly—by rotating numbers, monitoring performance metrics, and preemptively addressing issues—will be essential for maintaining contact rates and reaching qualified leads.
  2. AI will be built in, not bolted on.  Artificial intelligence is becoming foundational to contact center operations, but the shift isn’t about flashy features. It’s about embedded intelligence that quietly powers better outcomes. Expect AI to drive lead scoring, conversation routing, compliance triggers, and behavioral automation, all behind the scenes. The focus will shift from using AI to benefiting from it.
  3. Compliance will become proactive, not reactive.  As regulations change how and when outreach is permitted, software will need to play a central role in helping businesses manage compliance by design. Built-in safeguards, adaptive logic, and auditable trails will be standard, removing the burden from agents and putting compliance into the workflow itself.
  4. Smarter, not more, channels.  While omnichannel communication will remain important, the future lies in smarter orchestration, not simply adding more channels. Software will need to prioritize timing, personalization, and cadence across voice, SMS, and email to meet people where they are, without overwhelming them or burning through lists inefficiently.
  5. Performance ops will take center stage.  Contact centers are shifting from manual campaign management to performance-driven operations. The next wave of software will emphasize real-time optimization that excel at surfacing insights instantly, automating campaign adjustments, and giving teams the ability to pivot fast. High-performing operations will be measured less by volume, and more by the precision and profitability of every outreach attempt.

Read More: SalesTech for Sales Email Engagement – What Works and What Doesn’t

Convoso Reviews 2025: Details, Pricing, & Features | G2

Convoso is a CCaaS leader of contact center software for sales and lead generation teams. Since 2006, Convoso has continuously innovated its cloud based dialer solutions to drive customer growth, while supporting regulatory compliance.

Nima Hakimi, is CEO of Convoso