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Onfleet Announces Integration Partnerships with Zapier and When I Work to Streamline Delivery Operations

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Onfleet Announces Integration Partnerships with Zapier and When I Work to Streamline Delivery Operations

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Onfleet, the fastest growing last mile delivery management software platform, announced two new integration partnerships aimed at further enhancing the delivery experience for Onfleet customers and their consumers. The integrations with Zapier and When I Work represent Onfleet’s commitment to empowering businesses with seamless, scalable and innovative delivery management solutions.

Read More: Mindmatrix Unveils Cutting-edge Enhancements to its Next-Generation PRM Platform, Bridge

The integrations are focused on eliminating tedious manual tasks from day-to-day delivery operations so businesses can save time and money. Zapier is an online automation tool that connects apps and services to automate repetitive tasks. Ecommerce businesses use Zapier for automatic order uploads and integration with platforms like Shopify, Square, Google Sheets and more third-party apps. Instead of manually connecting apps or uploading orders from third-party tools to Onfleet’s Client Portal, businesses can set up their Zapier integration once and forget about manual data uploads.

The When I Work-Onfleet integration improves driver management for businesses of all sizes. The integration is perfect for people juggling their employee schedules and delivery logistics. Onfleet driver schedules are automatically updated every 15 minutes to synchronize with the latest When I Work employee schedules. Businesses can schedule their drivers, plan routes, track hours and manage payments within the Onfleet platform.

Read More: SalesTechStar Interview with Eran Hollander, Chief Product Officer at HungerRush

“Integrating with Zapier and When I Work connects Onfleet customers with their favorite apps and helps them to manage their delivery operations and workforce effectively,” said Chris Garrison, Director of Enterprise Sales & Strategic Partnerships at Onfleet. “Zapier opens up more than 6,000 possible integrations and we’ve heard a lot of our customers talk about When I Work and how they use it with their drivers, therefore it made sense for us to work with both companies.”

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Bright Pattern Establishes New Business Entity in India

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Bright Pattern Establishes New Business Entity in India

Bright Pattern unlocks Indian CX market potential with AI-Driven Contact Center solutions

Bright Pattern, a leading AI-powered, omnichannel contact center provider, recently announced the launch of its new business entity in India, operating under the name Bright Pattern Software Solutions Private Limited. The organization provides industry-leading cloud contact center solutions to its clients worldwide and continues to expand its business operations globally.

Read More: CData Software Acquires Data Virtuality to Modernize Data Virtualization for the Enterprise

Accounting for approximately half of the world’s business process outsourcing, India has been a global hub of customer service excellence with consistent growth in essential IT services, telecommunications, and CX management software. Michael McCloskey, CEO of Bright Pattern, said, “This is a key breakthrough for us as we are committed to delivering advanced AI technologies to an ever-growing market that heavily utilizes contact center software for customers all over the world. With a market of over $25B and more than 1.3 million call center agents, this represents an enormous opportunity for Bright Pattern.”

Read More: SalesTechStar Interview with Puneet Arora, Global President, Yellow.ai

McCloskey added, “We are aggressively hiring for our new entity in India in order to be able to respond to the demand we see in the region.”

With new operations in India, Bright Pattern will offer businesses access to its AI-powered omnichannel contact center platform including interaction analytics, intent analysis, quality management, auto scoring, Agent Assist, and WFM. The company’s advanced CCaaS features will empower the Indian workforce with new and innovative digital tools to improve agent-customer interactions.

Bright Pattern offers the most advanced contact center software across channels such as voice, text, chat, email, video, messengers, AI and bots. Its platform provides agents an omnichannel contact center desktop to handle all interactions on every channel in one screen. With prior customer journey history readily available, agents can quickly switch between channels and communicate with customers in a natural way tailored to their needs. This reduces effort for both customers and agents, allowing for personalized conversations.

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Gartner Says Sales Organizations That Use an Adaptive Approach Are Three Times More Likely to Grow

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Gartner Says Sales Organizations That Use an Adaptive Approach Are Three Times More Likely to Grow

Experts Reveal How to Construct and Leverage an Adaptive Organization at the Gartner CSO & Sales Leader Conference 2024, May 21-22 in Las Vegas

Sales organizations that embrace being adaptive by design will outpace competition and achieve superior commercial outcomes, according to Gartner, Inc.

During the opening keynote at the Gartner CSO & Sales Leader Conference, which is taking place here through Wednesday, Gartner experts discussed how future-proofing an organization to manage change with agility is the key to unlocking growth opportunities by as much as 3x.

“From budget constraints and limited resources to fast-evolving buyer expectations and mounting pressure to adopt and master new technology, sales leaders are stuck in a reactive mode,” said Dave Egloff, VP Analyst in the Gartner Sales Practice. “Rather than building organizational adaptability in the face of this constant chaos, leaders are over-relying on individual sellers, leading to seller burnout and performance issues.”

According to a Gartner survey of over 200 senior sales leaders conducted in November and December 2023, two out of three sales leaders struggle to shift resources to an emerging priority.

Read More: CData Software Acquires Data Virtuality to Modernize Data Virtualization for the Enterprise

“Sellers are overwhelmed and experiencing change fatigue from this pressure cooker backdrop,” continued Egloff. “For a sales organization to succeed in constant disruption, leaders must signal a pivot from a reactive approach to being adaptive by design. It is this game-changing shift towards anticipatory adaptation that will lead to an organization having a winning advantage.”

Pivot from adaptive by necessity to adaptive by design

An adaptive organization can effectively navigate the decision-making process with speed and accuracy. Being adaptive by design allows organizations to advance confidently through this decision process as they utilize sales intelligence to find usable, contextualized insights, quickly evaluate to determine a course of action, trigger change to gain competitive advantage, and ultimately sustain those actions through disciplined change management.

What separates the winners are three accelerators that speed up decision making:

  1. Revenue intelligence leverages data as contextualized insight, informing sales leaders on what’s coming, what’s working, what’s slowing them down, and what they should do as a result. Data is both predictive and actionable, giving organizations the power to adapt.
  2. Technology as a teammate focuses on building a different relationship between humans and technology, one which has clearly defined responsibilities and transparent actionability. Technology is no longer just another tool that can overwhelm sellers but now a partner that expedites their ability to adapt.
  3. Modularity enables agility and allows organizations to tweak their approach to the situation as it evolves, rather than being locked into tightly interwoven dependencies.

Read More: SalesTechStar Interview with Puneet Arora, Global President, Yellow.ai

“In order to thrive in the uncertainty, sales organizations must embrace constant adaptation, effective decision making, and be able to sustain shifts in strategy or execution,” said Alice Walmesley, Director, Advisory in the Gartner Sales Practice. “Organizations that make this shift to adaptive design are more likely to mitigate the downsides created by external events and capture the full potential of opportunities.”

“CSOs must embrace this winning formula regardless of marketplace conditions, acting with agility and finding opportunities for growth in disruption” concluded Walmesley.

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

Levelpath Unveils Hyperbridge Architecture, Revolutionizing AI-Driven Procurement

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Levelpath Unveils Hyperbridge Architecture, Revolutionizing AI-Driven Procurement

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New Reasoning Engine Fuels AI Platform for Unified Procurement Process

Levelpath, the AI platform for unifying procurement, unveils Hyperbridge, a new, proprietary AI reasoning engine that can ingest, understand, and connect data from various enterprise sources and publicly available datasets. By mapping relationships and extracting insights, it enriches procurement data with contextual intelligence from other business functions like legal, finance, security, and IT to optimize workflows.

Making its debut at the Levelpath Connect customer conference on May 21-22 in San Francisco, Hyperbridge powers the company’s procurement platform. Hyperbridge facilitates more informed decision-making, mitigates risks, improves cross-functional collaboration, and streamlines processes. Customers can expect Levelpath, with its Hyperbridge engine, to drive substantial productivity gains, significant cost savings from optimized supplier management, and enhanced business agility as procurement continues to evolve into a strategic catalyst.

Read More: Aircall Broadens AI Capabilities, Empowering More SMBs to Nurture Relationships, Drive Performance, and Fuel Growth

Recent research from Proxima, Bain & Co, has revealed that Fortune 500 companies’ external supplier costs account for an average of 75% of their total spending and 65% of their revenue. Additionally, Fortune 500 and FTSE 350 companies could expect to see a 32% and a 27% surge in EBITDA, respectively, from just a 10% cut in supplier costs.1

“A digital approach requires us to embrace new technology systems, data management, and sophisticated analysis. By leveraging AI and advanced analytics, we can transform procurement into a function that improves EBITDA margins, drives supply chain innovation, and enhances overall business agility,” said Dr. Elouise Epstein, author and partner at Kearney.

“Supplier spend represents the greatest expense within an enterprise. Siloed people, data, and legacy systems waste valuable resources and create unnecessary risks for legal and IT departments,” explained Stan Garber, co-founder and president of Levelpath. “The Levelpath AI platform ensures enterprise-wide engagement and adoption through its simplicity, while our Hyperbridge reasoning engine enriches data for maximum productivity and spend visibility across the business.”

Read More: SalesTechStar Interview with Eran Hollander, Chief Product Officer at HungerRush

Rooted in Supplier Engagement Expertise
Levelpath co-founders Garber and Alex Yakubovich are recognized experts in the procurement arena, having previously founded Scout RFP, a cloud-based platform for strategic sourcing and supplier engagement. Scout RFP was acquired by Workday in 2019.

“Our work at Scout RFP and Workday gave us unique insights into reimagining the procurement process,” said Yakubovich. “While most technology advancements focus on automating specific tasks, we recognized the need for an AI solution that unifies procurement to enhance both employee experiences and business outcomes. The Levelpath built-from-the-ground-up procurement platform provides users with a solution that makes the procurement process truly delightful.”

The Need for Delightful Procurement
In an era where productivity is paramount with constrained budgets and consolidated teams, using the right procurement platform becomes the critical link to achieving more with less. Traditional multi-solution approaches to procurement often result in fragmented customer experiences. The Levelpath AI-driven platform redefines procurement productivity and creates a truly delightful procurement experience.

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

NinjaTech AI Teams Up With AWS to Launch the Next Generation of AI Agents Trained Using Amazon’s AI Chips

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NinjaTech AI Teams Up With AWS to Launch the Next Generation of AI Agents Trained Using Amazon’s AI Chips

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  • NinjaTech AI, an SRI-backed generative AI spinout, powered by custom Ninja LLMs, has created a multi-agent personal AI that can plan and execute real-world tasks asynchronously, such as researching multi-step complex topics and scheduling meetings on its users’ behalf.

  • AWS’s Trainium and Inferentia2 machine learning chips enable NinjaTech AI to train and serve AI agents quickly, on demand and sustainably, delivering the power of generative AI to help everyone be more productive.

NinjaTech AI, a Silicon Valley-based generative AI company on a mission to make everyone more productive by taking care of time-consuming tasks, announced the launch of its new personal AI, Ninja, an evolution beyond AI assistants and co-pilots to autonomous agents. NinjaTech AI is leveraging Amazon Web Services’ (AWS) purpose-built machine learning (ML) chips Trainium and Inferentia2, and Amazon SageMaker, a cloud-based machine learning service, to build, train, and scale custom AI agents that can handle complex tasks autonomously, such as conducting research and scheduling meetings. These AI agents save time and money for every user by bringing the power of generative AI to everyday workflows. Using AWS’s cloud capabilities, Ninja can conduct multiple tasks simultaneously, meaning users can assign new tasks without waiting for existing tasks to be completed.

“Working with AWS’s Annapurna Labs has been a genuine game-changer for NinjaTech AI. The power and flexibility of Trainium & Inferentia2 chips for our reinforcement-learning AI agents far exceeded our expectations: They integrate easily and can elastically scale to thousands of nodes via Amazon SageMaker,” stated Babak Pahlavan, founder and CEO of NinjaTech AI. “These next-generation AWS-designed chips natively support the larger 70B variants of the latest popular open-source models like Llama 3, while saving us up to 80% in total costs and giving us 60% more energy efficiency compared to similar GPUs. In addition to the technology itself, the collaborative technical support from the AWS team has made an enormous difference as we build deep tech.”

Read More: o9 Transforms Integrated Planning and Decisioning With GenAI-Powered Innovations to Its Digital Brain Platform

AI agents operate using highly customized large language models (LLMs) that are modified using a variety of techniques, such as reinforcement learning, to deliver accuracy and speed. Successful development of AI agents requires affordable and elastic chips tuned specifically for reinforcement learning—a difficult and costly challenge for startups with today’s scarcity of GPUs, their inelasticity, and with compute cost at such a premium. AWS has solved this challenge for the AI agent ecosystem with its unique chip technology, which enables rapid training bursts that scale to touch thousands of nodes as required per training cycle. Combined with Amazon SageMaker, which offers the ability to leverage open-source models, training AI agents is now fast, flexible, and affordable.

“AI agents are rapidly emerging as the next generation of productivity tools that will transform how we work, collaborate, and learn. NinjaTech AI has enabled fast, accurate, and cost-effective agents that customers can quickly scale using AWS Trainium and Inferentia2 AI chips,” said Gadi Hutt, senior director, Annapurna Labs at AWS. “We’re excited to help the NinjaTech AI team bring autonomous agents to the market, while also advancing AWS’s commitment to empower open-source ML and popular frameworks like PyTorch and Jax.”

NinjaTech AI has trained its models with AWS Trainium (Amazon EC2 Trn1 instances) and is serving them using AWS Inferentia2 (Amazon EC2 Inf2 instances). Trainium powers high-performance compute clusters on AWS for training LLMs faster and at a lower cost, while using less energy. The Inferentia2 chip enables models to generate inferences faster and at a much lower cost, with up to 40% better price performance.

Read More: SalesTechStar Interview with Puneet Arora, Global President, Yellow.ai

“Our collaboration with AWS has been critical to accelerating our ability to develop a truly novel generative AI-based planner and action engine, which are vital to building state-of-the-art AI agents. Because we needed the most elastic and highest-performing chips with incredible accuracy and speed, our decision to train and deploy Ninja on Trainium and Inferentia2 chips made perfect sense,” added Pahlavan. “Every generative AI company should be considering AWS if they want access to on-demand AI chips with incredible flexibility and speed.”

Users can access Ninja by visiting myninja.ai. Starting today, Ninja offers four conversational AI agents capable of doing multi-step, real-time web research, scheduling meetings with internal and external parties via email, helping out with coding tasks, as well as drafting emails and giving advice. Additionally, Ninja offers easy access to side-by-side result comparisons from world-class models from companies such as OpenAI, Anthropic, and Google. Lastly, Ninja offers a state-of-the-art asynchronous infrastructure that allows users to tackle a nearly infinite number of tasks all at once. Ninja will get better as customers use it, making them more productive in their day-to-day life.

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

Epicor Unveils Integrated Portfolio of AI and Data Management Capabilities Built Specifically for the Supply Chain Industries

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Epicor Unveils Integrated Portfolio of AI and Data Management Capabilities Built Specifically for the Supply Chain Industries

Epicor, a global leader of industry-specific enterprise software to promote business growth, unveiled its new Epicor Grow portfolio, an integrated set of Artificial Intelligence (AI) and Business Intelligence (BI) capabilities powered by an industry-focused data platform tuned specifically for the requirements of the make, move, and sell industries.

“We know the keys to realizing the full power of AI revolve around two important things: applying AI to a well-defined, practical business issue, and leveraging high quality data”

The new portfolio, introduced at the Epicor Insights 2024 user conference held this week in Nashville, reimagines how AI-powered ERP software can and should serve the supply chain industries and their workers. Guided by the company’s cognitive ERP vision to transform traditional ERP from a system of record to a system of action, the Epicor Grow portfolio leverages many types of AI — generative, machine learning, natural language processing, predictive analytics and more — to deliver more than 200 highly specific industry use cases that adapt to workers in their contextual environment or workflow, giving them the insights and efficiencies they need to drive more value.

Read More: SalesTechStar Interview with Eran Hollander, Chief Product Officer at HungerRush

“We know the keys to realizing the full power of AI revolve around two important things: applying AI to a well-defined, practical business issue, and leveraging high quality data,” said Epicor Chief Product & Technology Officer Vaibhav Vohra. “Our new Epicor Grow portfolio delivers on both fronts, putting workers at the center of the intelligence ecosystem. We’re delivering deep AI integration across real-world industry workflows – unlike ‘one size fits all’ industry-agnostic ERPs – to surface actionable insights and drive efficiencies. And we’re empowering users with a rich, industry-centric data platform and no-code tools to create purpose-built data pipelines to help solve specific challenges.”

By design, ERP technology sits at the core of an organization, coordinating and managing mission-critical processes across business functions. At Epicor, we see incredible opportunity for the supply chain industries to tap into the vast ERP data sets at the hearts of their businesses to leverage AI not just to automate tasks but enable systems to think, learn, and empower workers with the right intelligence to make decisions in ways that were previously unimaginable.

The Epicor Grow portfolio is built to take advantage of these opportunities, unlocking new levels of efficiency, innovation, and competitiveness for companies across the supply chain. This helps workers reduce the complexity and friction in how they have traditionally extracted and used intelligence from their financial and operational data, machines, and external supplier communities.

Core elements of the integrated portfolio include:

​Epicor Prism™ – Epicor Prism is a patent-pending generative AI service embedded across the Epicor Industry ERP Cloud that empowers workers to access the right insights, in the right context, at the right time to make smarter decisions. Epicor Prism is specifically fine-tuned to the Epicor data structure, which has been developed over decades of experience innovating across the manufacturing, distribution, and retail industries. Users engage with Epicor Prism in the context of their native Epicor ERP platform, while behind the scenes task-specific agents collaborate to surface insights or execute actions as prompted.

Read More: Revolutionizing Revenue: Challenging 5 Common AI Myths

For example, users can leverage Epicor Prism as a code assistant to create automated business processes more quickly, or use conversational ERP to access production and purchasing insights without the need to know where files are located. Epicor Prism can also automate supplier communications to speed purchasing, enabling users to automatically send RFQs to their supplier network and parse and translate quotes to determine the best price and fastest delivery.

Epicor Grow AI​ – Epicor Grow AI transforms the ERP experience with AI that is easy-to-use, practical, and outcomes-focused. Epicor Grow AI surfaces insights with high speed and accuracy to solve industry-focused challenges in the familiar context of a customer’s Epicor solutions. Example capabilities and workflows include:

  • AI-driven predictive analytics to help generate, analyze, and act on multiple forecasts related to inventory, demand, and sales.
  • AI-generated sales orders created from natural language email inquiries, speeding fulfillment and reducing customer service effort while increasing conversion and customer satisfaction.
  • Personalized, AI-generated product suggestions based on past order history to help optimize inventory levels, reduce costs, and drive greater revenue.
  • AI-powered predictive maintenance suggestions and notifications for fleet vehicles, reducing unscheduled vehicle downtime, delivery delays, and maintenance costs.
  • Accelerated access and knowledge sharing across the Epicor library of product and support resources, giving users fast, accurate answers to their questions with curated, AI-driven responses.

Epicor Grow Inventory Forecasting​ – From Epicor’s recent acquisition of Smart Software, users can leverage predictive analytics and model “what-if” scenarios to better manage inventories with embedded, purpose-built, machine-learning forecasting engines.​

Epicor FP&A​ – Deeply embedded Financial Planning and Analysis capabilities for easy, accurate, and thorough financial reporting.​

Epicor Grow BI​ – Easy-to-use no-code technology joins and transforms data with elegant visuals, metrics, and dashboards. Users can get alerts and even externalize data blueprints to pair with other BI tools for maximum flexibility.​ In addition, Epicor recently expanded data center availability for Epicor Grow BI in AWS U.K., supporting international organizations.

Epicor Grow Data Platform​ – A powerful way to manage enterprise data in one place with a full-stack, no-code data platform that delivers fast time to insight with deeper visibility. The platform allows users to bring their data to one central location to feed Epicor AI and BI applications, and uniquely includes a no-code, interactive Pipeline Canvas to move or modify prebuilt data pipelines or enable users to build their own. This lets users selectively combine, clean, normalize, and analyze only the data they need, saving time, cost, and delivering a higher quality, more accurate output.

During Epicor Insights 2024, attendees can see live demonstrations and learn more about the Epicor Grow portfolio at the “Drive to AI” center in the Solutions Pavilion.

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

Cognigy Unveils Advanced AI Agents for Sales and Marketing at Customer Contact Week Las Vegas

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Cognigy Unveils Advanced AI Agents for Sales and Marketing at Customer Contact Week Las Vegas

Cognigy - conversational ai platform for enterprise

AI Agents Support the Entire Customer Journey, with Hyper-Personalized Service That Turns Interactions into Transactions

Cognigy, a global leader in AI-powered customer service solutions, announced the launch of its AI Agents for Sales and Marketing interactions. This cutting-edge technology is designed for enterprises that want to engage customers with hyper-personalized service and turn interactions into transactions, fueling revenue growth with an exceptional customer experience (CX) that scales. Cognigy will debut this innovation at Customer Contact Week (CCW) Las Vegas from June 3-6 at Caesars Forum.

“Cognigy is empowering enterprises with AI Agents that augment their workforce to deliver truly differentiating self-service resulting in automated workflows and human-like interactions”

Cognigy’s AI Agents are engineered to revolutionize customer engagement through proactive personalization and intelligent interaction that not only anticipate customer needs but also drive significant sales growth. To excel at their job, Cognigy’s AI Agents leverage insights from customer profiles and context to proactively identify needs and customer conversations that align with individual journeys and preferences. With capabilities that include proactive outbound calling, these AI Agents can initiate contact, ensuring that potential opportunities are never missed and customer engagement is maximized.

Read More: SalesTechStar Interview with Puneet Arora, Global President, Yellow.ai

As part of a Sales and Marketing workforce, Cognigy AI Agents can automate:

  • Renewals and Upselling: Automatically contact customers before their contracts expire, handling both renewals and opportunities for additional services.
  • Sales Activation: AI Agents follow up on leads from unfinished applications or check-outs, helping to reconnect potential customers and convert them to active customers.
  • Outbound Scheduling: Initiate calls to customers to schedule appointments or services, streamlining the process with full automation to enhance convenience.

Early use cases demonstrate the versatility and impact of Cognigy’s AI Agents across different sectors including retail, telecommunications and travel. The AI technology supports the entire customer journey, providing continuous assistance from initial contact through after-sales support, enhancing every interaction with Generative and Conversational AI capabilities. Additionally, AI Agents work alongside humans in the contact center and can transfer calls or chats at any point of a conversation.

Read More: Why AI can’t make good salespeople; implementing AI into GTM processes

“Cognigy is empowering enterprises with AI Agents that augment their workforce to deliver truly differentiating self-service resulting in automated workflows and human-like interactions,” said Sebastian Glock, Director of Product Marketing at Cognigy. “Multiple customers have deployed our Sales and Marketing AI Agents and are experiencing revenue growth from renewals and upselling, re-engagement and proactive scheduling. These early use cases demonstrate the power and potential of AI Agents.”

Cognigy will be available to discuss this topic in-person at CCW Vegas at Caesars Forum from June 3-6 at booth #350. Also join the Cognigy-sponsored workshop, featuring one of the fastest-growing online fashion brands in history, on Tuesday, June 4 at 11:00 a.m. PDT in room Summit 215-217.

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

Startek® launches Generative AI Platform to empower agents and enhance customer experience

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Startek® launches Generative AI Platform to empower agents and enhance customer experience

Startek honored with Great Place To Work® certification in India

Bridging Empathy and Efficiency: Startek® Generative AI Equips Agents to Address Customer Needs with Precision, Empowering Them to Deliver Exceptional Experiences

Startek®, a global customer experience (CX) solutions provider, announced the launch of Startek® Generative AI, a comprehensive suite of Generative AI solutions designed to expedite and enhance business processes, ensuring greater efficiency and effectiveness.

Startek® Generative AI goes beyond simple automation. It empowers businesses with a strategic approach that enhances agent productivity, streamlines operations and personalizes the customer journey. Startek Generative AI utilizes generative AI tools to swiftly identify and address customer needs across various touchpoints. By optimizing HR, training, and operational functions, agents can prioritize responses with enhanced empathy and speed, thus elevating the overall customer experience. From transforming agent training to automating tasks and analyzing sentiment for personalization, Startek Generative AI empowers organizations to enhance every aspect of their CX journey.

Read More: SalesTechStar Interview with Puneet Arora, Global President, Yellow.ai

“The customer experience landscape is undergoing a significant transformation driven by AI,” said Abhinandan Jain, Chief Growth Officer, Startek. “Startek Generative AI isn’t just about keeping pace; it’s about giving businesses a competitive edge. With Generative AI, our clients can not only deliver exceptional service at every touchpoint, but also unlock significant cost savings, increase productivity, expand insights and enhance agent and customer experience.”

Key features of Startek® Generative AI include:

  • Agent Experience: Revamp agent onboarding and training with interactive modules and tailored coaching. Boost performance through personalized insights and in-the-moment support for exceptional customer experiences.
  • Self Service: Empower customers with voice and text-based self-service options for quick query resolution and enhanced satisfaction.
  • WFH and Compliance: Ensure workforce efficiency and compliance by accurately predicting call volumes and automating quality assurance processes with advanced analytics.
  • Startek GPT: Streamline operations and enhance engagement with concise insights and real-time sentiment analysis for personalized service adjustments.

Read More: Why AI can’t make good salespeople; implementing AI into GTM processes

At the core of Startek Generative AI lies Startek GPT, a powerful engine leveraging generative pre-trained transformers. Startek GPT automates tasks, summarizes interactions and analyzes customer sentiment. This enables agents focus on complex issues and deliver a more personalized customer experience.

Startek® Generative AI has already demonstrated remarkable results for a multinational electronics and hardware manufacturer with a 20% improvement in First Call Resolution (FCR) for 50% of agents, along with a 15% improvement in Voice Average Handling Time (AHT) for 60% of agents.

Startek Generative AI isn’t just for today’s challenges; it’s a peek into the future of CX. With a deeply human-centric approach, as businesses adopt Generative AI, Startek Generative AI is poised to redefine customer expectations at every touchpoint.

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

TrueDialog Introduces TrueDelivery, the First SMS Deliverability Scoring Tool for Business Texting

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TrueDialog Introduces TrueDelivery, the First SMS Deliverability Scoring Tool for Business Texting

TrueDelivery beta customers reduced false positives by 50-80%, improving engagement and campaign performance.

TrueDialog, a leading provider of enterprise-grade SMS text messaging solutions, introduces TrueDelivery, a groundbreaking SMS deliverability alerting tool that uses AI and machine learning (ML) to increase the success rate of vendor’s SMS campaigns and ensure messages do not get erroneously flagged by carriers’ spam filters. Initial results with beta customers have reduced false positives by a remarkable 50-80%, improving engagement and campaign performance.

Revenue teams are charged fees for sending SMS messages, regardless of whether they reach their targets. If flagged as spam, these undelivered messages not only result in wasted costs but also jeopardize future communication capabilities through potential blacklisting by carriers. Furthermore, these deliverability problems undermine campaign metrics.

Read More: CData Software Acquires Data Virtuality to Modernize Data Virtualization for the Enterprise

TrueDelivery was built by analyzing hundreds of millions of text messages and using AI and ML to proactively assess and score messages for message deliverability before they are sent. TrueDelivery’s AI training models adapt dynamically to changes in carrier spam filters, ensuring that it remains an evolving, effective solution. This state-of-the-art tool acts as the first line of defense for enterprises that use SMS text messaging by providing instant feedback, enabling authors to edit content for significantly improved deliverability and cost savings.

“When generative AI was released to the public, we quickly began working on a way to harness its power to identify messages from reputable senders that may be incorrectly marked as spam and making suggestions to correct them,” said John Wright, CEO of TrueDialog. “TrueDelivery is our newest AI feature, joining TrueDialog’s AI Chat Assistant, which suggests quick responses to customers’ 1:1 inbound texts for revenue and customer success teams.”

Key benefits of TrueDelivery include:

  • Campaign Success: Increases the efficiency and impact of SMS marketing campaigns.
  • Reduced Costs: Prevents unnecessary fees by reducing false positives being marked as spam.
  • Boosts Engagement: Helps vendors maintain strong customer relationships through reliable communication.

Read More: SalesTechStar Interview with Puneet Arora, Global President, Yellow.ai

Enterprise SMS Statistics

  • According to a 2022 report by CTIA, an industry trade group representing wireless communication sectors, text messages have a 98% open rate.
  • In 2021, Forrester reported businesses that use texting attributed 12.8% of their online revenue to SMS marketing.
  • Beyond Market Insights, an analyst firm, expects the A2P SMS messaging market to grow by 4% annually, to reach $89.2 billion in 2030. A2P stands for Application to Person and refers to any text message a business sends to consumers using a software application.

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

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