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New Gen Unveils AI-Native Storefronts with Embedded Payments to Power Agentic Commerce

As AI agents begin driving product discovery and purchasing decisions, New Gen equips brands with agentic commerce storefronts for seamless, secure payments for humans and AI agents, powered by enterprise partners including Visa.

New Generation (New Gen), a technology company building infrastructure for the AI internet, announces its platform now enables agentic commerce, powering secure, AI-initiated transactions through intelligent storefronts and embedded payment flows. The platform now allows AI agents to quickly and securely check out from merchant sites across chat, voice, and soon through emerging agent-driven channels. New Gen is leveraging trusted payments infrastructure from Visa and is among the first collaborators in the Visa Intelligent Commerce sandbox.

AI-driven traffic is reshaping the path to purchase, and brands aren’t equipped to keep up. Consumer behavior data shows that traffic to U.S. retail websites from generative AI sources increased by over 1,200% between July 2024 and February 2025. These users expect highly personalized recommendations, are more likely to convert, and spend more than traditional site traffic shoppers. But today’s web infrastructure isn’t compatible with AI’s programmatic interactions. As a result, AI agents can’t engage with most retail sites directly, meaning brands are missing the opportunity to convert this new wave of high-intent traffic.

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

New Gen solves this disconnect by transforming static product catalogs into structured, AI-readable data through intelligent storefronts hosted on custom subdomains like ai.brand.com. These storefronts support humans, who see a personalized, conversational interface, as well as AI agents, which access the same product information programmatically. Both paths provide frictionless, secure transactions using embedded checkouts without redirects or scraping.

“Shopping behavior is changing rapidly, and brands are having a hard time keeping up. Now, shopping starts with a conversation, not a search bar,” said Adam Behrens, co-founder of New Gen. “We’re starting by helping brands serve AI agents and people in the same place, with personalized, structured storefronts built for natural language. That means turning product catalogs into structured, AI-readable data, so brands are equipped to welcome the next wave of customers, both human and AI.”

Together with Visa, we’re exploring enabling:

  • Intelligent, embedded payments – Facilitate secure, seamless transactions initiated by AI agents on behalf of human users across chat, voice, or embedded experiences.
  • Trust and visibility in AI-driven transactions – Integrate fraud, identity, and authorization protocols upstream in the agentic shopping flow, not only at checkout to give consumers control and confidence in each transaction.
  • Simple and scalable integration – Easily plug into and scale with commerce platforms, interfaces, or ecosystems with flexible APIs and pre-built modules, without overhauling existing infrastructure.

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“We’re helping brands make their catalogs and experiences fully shoppable by AI, including emerging shopping agents,” said Jonathan Arena, co-founder of New Gen. “Our platform makes products instantly shoppable across chat, voice, and agent-driven platforms and renders conversational, personalized storefronts that adapt in real time. When an AI agent is ready to buy, with partners we can help ensure the path to conversion is seamless, secure, and instant.”

The startup is backed by South Park Commons, with participation from Matrix, Designer Fund, Slow Ventures, Beat Ventures, and notable angel investors including the co-founder of Pinterest, the former COO of Stripe, and the Head of Llama at Meta.

With backgrounds spanning Stripe, Meta, Bridgewater and Patreon, co-founders Arena and Behrens combine technical, product, and design expertise to reimagine how brands meet customers in an AI-powered environment.

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Shopware Launches Agentic Commerce Alliance Designed to Shape a Diverse, Autonomous Future

Shopware, the leading global open-source ecommerce platform, announced the creation of The Agentic Commerce Alliance in Europe, positioned as a proactive response to the current AI landscape poised to disrupt the digital commerce ecosystem.

“The Agentic Commerce Alliance is a strategic commitment to preserving a diverse, competitive, and innovative digital marketplace where AI technology amplifies, rather than diminishes, the uniqueness and humanity of commerce,” said Stefan Hamann, CEO, Shopware.

As AI agents increasingly handle autonomous transactions within split-second decision windows, traditional concepts of brand identity, customer loyalty, and merchant differentiation are at risk of becoming obsolete. Without deliberate intervention, this centralized AI-driven commerce landscape could reduce merchants to mere commodities, eroding diversity, innovation, and consumer choice.

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“The paradigm is shifting rapidly toward a world where bots, rather than humans, dominate commerce interactions. Tech giants like OpenAI, Amazon, and Google are positioned to become the dominant Commerce Hubs that can handle the entirety of transaction cycles from payments to verification,” said Hamann.

The alliance has two primary goals:

  • Ensure merchants can survive in the Bot Economy: The alliance will establish  open, interoperable standards that empower merchants of any size to participate in agent-to-agent commerce without surrendering control to centralized AI platforms. By creating frameworks for experience differentiation, AI Agents will gain access to more than just price including customer service quality, brand trustworthiness, product expertise, and community alignment.
  • Leverage AI for meaningful differentiation: By enabling merchants to retain distinct brand identities and value propositions that resonate beyond purely transactional decision-making, the Alliance will drive innovation with hyper-personalization, immersive 3D shopping experiences, frictionless automation, and expert-level customer support.

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The urgency of this initiative is underscored by the impressive roster of industry partners already onboard. Alongside Shopware, which pioneered the first AI Copilot with OpenAI in early 2022, the alliance includes 15 other leading industry players across diverse sectors. Shopware powers over 55,000 B2C and B2B merchants worldwide, exemplifying the transformative potential and practical viability of agentic commerce.

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

Marketing Qualified Leads once reigned supreme for measuring engagement. Today, they struggle to drive predictable revenue. As buyer behaviors evolve, pipeline-driven sales has emerged as a powerful alternative that streamlines closing rates. Let’s have a closer look at why MQLs are losing relevance and how this new approach reshapes sales efficiency.

Why MQLs Are Losing Steam?

MQLs rely on superficial touchpoints like form fills or email opens. These interactions rarely translate into consistent buying intent. Modern prospects require a deeper, more personalized approach to earn trust and convert.

  • Traditional engagement signals no longer reflect real purchasing motivation.
  • Prospects often self-research, bypassing marketing campaigns entirely.
  • Sales teams waste time on unqualified leads rather than on meaningful opportunities.

What are the Flaws in the MQL Approach?

Surface-level engagement metrics fail to capture nuanced decision-making. Each prospect navigates different steps before committing to a purchase, and MQL scoring rarely maps to those paths. Organizations relying on outdated frameworks end up chasing leads that never materialize.

Rather than emphasizing content downloads or webinar sign-ups, successful teams now focus on true buyer challenges. They look beyond top-of-funnel activities and lean into meaningful conversations. This shift encourages deeper prospect understanding. It also highlights the need to replace rigid MQL targets with dynamic approaches that prioritize real-time interactions.

Understanding Pipeline-Driven Sales

Genuine buyer intent emerges when prospects move from curiosity to planning. Pipeline-driven sales gives organizations a structured way to gauge that shift in real time. It leverages data beyond clicks, focusing on tangible actions that align with product fit and budget readiness.

  • Sales reps track stages based on actual buyer progress, not arbitrary scoring thresholds.
  • Forecasts become more accurate, grounded in up-to-date signals of genuine interest.
  • Conversations center on specific pain points, fostering trust and closing deals faster.

By centering on pipeline health, revenue teams quickly spot bottlenecks, refine outreach, and allocate resources where they matter most.

Building a Pipeline-First Culture

Shifting mindsets is essential. Leadership must unite marketing and sales around a shared vision of efficiency, transparency, and alignment. Instead of celebrating MQL volume, organizations invest in quality conversations and sustainable deal progression.

Early adopters of pipeline-driven sales often start by redefining key performance indicators. Instead of tracking lead downloads or open rates, they measure conversion rates across distinct pipeline stages. They also adjust incentive structures to reward teams for moving high-fit prospects through the funnel. This reorientation ensures everyone rallies behind a data-driven approach that highlights real business potential.

Case Study: A Pipeline-First Transformation

BMC Software, a leading IT solutions provider, implemented a pipeline-focused model to drive revenue growth and attract quality leads. They aligned sales and marketing teams, leveraging their existing database for targeted outreach. The company employed a multi-channel approach, combining email campaigns, LinkedIn messaging, and other digital touchpoints. They also integrated an AI-driven platform to automate campaigns and prioritize leads.

Within six months, BMC Software saw remarkable results:

  • 5,000 leads generated, with 2,500 qualifying as MQLs (49.5% conversion rate)
  • Improved sales efficiency by quickly filtering out unqualified prospects
  • Increased revenue growth due to higher-quality leads and faster conversions
  • Enhanced internal sales team performance
  • Strengthened competitive position in the B2B technology sector

This transformation boosted collaboration between marketing and sales, as both shared accountability for pipeline milestones.

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Steps to Transition from MQLs to a Pipeline Model

Before fully abandoning MQLs, most teams require a phased approach that eases the shift. The following measures can accelerate positive outcomes:

  • Define Clear Criteria:

Pinpoint top signals that indicate genuine buying intent, such as organizational needs or budget alignment.

  • Realign Resources:

Train marketing to deliver targeted content that speaks to deeper challenges. Coach sales reps on consultative engagement to uncover issues.

  • Synchronize Data and Tools:

Consolidate platforms. Ensure CRM, marketing automation, and analytics solutions communicate to map each lead’s journey accurately.

  • Track Meaningful Metrics:

Focus on pipeline velocity, win rates, and stage-by-stage progress. Swap vanity metrics for insights that reflect purchase readiness.

  • Iterate and Optimize:

Continuously refine your pipeline-driven sales framework. Seek feedback from frontline reps and adapt to changing market dynamics.

Embracing the Next Era of Sales

By 2025, more companies will forsake MQL-heavy strategies in favor of pipeline-driven sales. Marketing teams will generate richer insights, while sales professionals evolve into partners guiding customers to solutions. As generational shifts and digital expansion accelerate, potential buyers expect tailored conversations and genuine value.

Organizations that embrace the pipeline-first mindset can more accurately forecast revenue, reduce churn, and scale effectively. Rather than chasing inflated lead numbers, teams will concentrate on building robust pipelines grounded in substance and mutual benefit. The emphasis on continuous learning and real-time feedback loops leads to nimble adjustments that align with evolving customer expectations.

Final Thoughts

The death of MQLs signals a shift toward approaches that place authentic engagement first. By adopting pipeline-driven sales, businesses nurture transparency, hone accuracy, and fuel long-term revenue. This transformation unites marketing and sales in pursuit of sustainable growth, allowing teams to foster trust while delivering tailored experiences. Forward-thinking organizations that make the leap today will stand ready for 2025 and beyond, positioned to thrive in a marketplace defined by agile collaboration and predictable outcomes.

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DemandSkill Names Kevin Nolan as Director of Strategic Accounts

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Veteran Business Development Professional with Strong Record of Success Joins DemandSkill to Supercharge Growth for Powerful AI-Based B2B Demand Generation/Sales Pipeline Platform

DemandSkill, an innovator of a powerful Artificial Intelligence-based sales and marketing pipeline acceleration, named Kevin Nolan as Director of Strategic Accounts. Nolan joins DemandSkill from Infuse, where he was the director of strategic accounts. Nolan has held senior sales and demand generation positions with companies such as True Influence, Informa, and Demandbase.

“The addition of Kevin to our team elevates DemandSkill with customers and new prospects,” said Amy Winchell, managing director, DemandSkill. “Kevin’s strong track record, deep industry connections and ability will help us expand our platform into new markets and further develop our sales team to accelerate the company’s growth. He has my full confidence.”

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“The addition of Kevin to our team elevates DemandSkill with customers and new prospects,” said Amy Winchell, managing director, DemandSkill. “Kevin’s strong track record, deep industry connections and ability will help us expand our platform.”

“The DemandSkill technology platform is a powerful solution for targeting intent-driven global sales and marketing pipeline opportunities,” said Nolan. “I’m very impressed by ways this platform will accelerate sales opportunities for clients who can benefit from DemandSkill’s natural language processing (NLP), semantic analysis, and intent algorithms to efficiently identify high-value prospects who are ready to buy.”

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Prior to joining Infuse, Nolan held a number of senior sales and business development positions with Integrate, Inc., UMB TechWeb, TechTarget Terra Lycos, and United Communication Group/Technology Division. Nolan holds a degree in marketing and entrepreneurial studies from Babson College.

“I’m delighted to join DemandSkill and reconnect with Amy Winchell to replicate our success at prior companies,” said Nolan. “DemandSkill’s advanced AI-based technology holds much promise to effectively mine customer and prospect databases for stronger sales opportunities and greater success rates. I look forward to helping this company grow.”

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Z2Data Acquires AMSYS to Strengthen Supply Chain Risk Management Platform

Acquisition enhances Z2Data’s ability to help companies identify, assess, and mitigate component-level risks across the global supply chain

Z2Data, a leading provider of supply chain risk management (SCRM) solutions, announced the acquisition of AMSYS, a German company with a subsidiary in Romania recognized for its expertise in life cycle management, obsolescence risk mitigation, and compliance data automation.

The acquisition strengthens Z2Data’s mission to deliver a unified SCRM platform that empowers organizations to proactively reduce risk across product development, sourcing, and regulatory operations.

Z2Data CEO Mohammad Ahmad said:

“AMSYS has built a strong reputation helping companies manage risk through structured tools and processes. Joining forces expands our presence in Europe and strengthens our ability to deliver end-to-end solutions that help customers act faster and manage risk more effectively. We are excited about what we will build together and warmly welcome the AMSYS team to the Z2Data family.”

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Bolstering Risk Intelligence Across the Product Life Cycle

Founded in 2014, AMSYS has built a strong presence in the aerospace, defense, railway and transportation as well as automation, medical and electronics industries by helping organizations manage product life cycle, obsolescence and compliance risk. Its Life Cycle Management (LCM) Client is a widely used solution that delivers life cycle data, risk identification, and advanced workflow-based case management—empowering cross-functional teams to mitigate disruptions before they occur.

The integration of AMSYS’s LCM Client application into Z2Data’s platform will provide customers with a more complete picture of supply chain risk, including:

  • Unified, end-to-end risk visibility
    • Z2Data offers a comprehensive single-platform solution—covering part-to-site risk mapping, real-time alerts, sub-tier supplier mapping, and PCN notifications.
    • Integrating the AMSYS LCM Client enriches this ecosystem with lifecycle foresight, enabling deeper product level analysis combined with internal and site-level intelligence.
  • Superior life cycle management data and analytics at scale
    • Z2Data processes data on more than 1 billion components, 700,000+ suppliers, and 30,000 manufacturing sites, plus real-time event monitoring covering 120+ risk types.
    • AMSYS brings domain expertise to contextualize this data within proactive obsolescence action plans and enhanced individual workflow capabilities.
  • Powerful compliance and sustainability support
    • Z2Data’s offers compliance information and supply chain-wide ESG capabilities—including alerts for RoHS, REACH, Prop 65, UFLPA, and forced labor risks in sub-tier networks.
    • AMSYS’s structured workflows and compliance automation integration boosts responsiveness and audit readiness.

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AMSYS Co-Founders and Managing Directors Bjoern Bartels and Hans-Georg Dueck jointly said:

“AMSYS has always been dedicated to helping customers navigate the growing complexity of obsolescence risk, supply chain disruptions, and environmental compliance—particularly in highly regulated industries. Joining forces with Z2Data enables us to not only scale our mission significantly, but to embed predictive intelligence and actionable foresight across every layer of the global supply chain ecosystem. Together, we’re excited to co-innovate advanced software solutions and targeted professional development programs that strengthen resilience and performance throughout the product life cycles of our existing and new customers.”

Advancing the Future of Supply Chain Risk Management

With geopolitical tensions, component shortages, and evolving regulations reshaping global supply chains, the need for end-to-end risk intelligence has never been greater. The combination of Z2Data and AMSYS delivers a best-in-class solution for companies seeking to operate with agility, foresight, and resilience.

This acquisition reinforces Z2Data’s position as the most comprehensive SCRM platform for product-driven organizations worldwide.

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Fullcast Announces GTM Live

 Annual conference brings GTM stars together in the heart of Silicon Slopes.

Fullcast, the AI-powered sales performance management platform, is proud to announce GTM Live, an exclusive one-day event on August 28 designed to help GTM leaders fast-track their annual sales plans with guidance from some of the most influential executive, sales and revenue operations minds in the industry.

Set against the backdrop of Utah’s Silicon Slopes, this immersive workshop will bring together an elite lineup of speakers, including Ryan Westwood, Cofounder and CEO of Fullcast; Aditya Gautam, Tech Lead in Machine Learning at Meta; Louis Poulin, former Head of RevOps for AWS, PayPal and Buildertrend; Erik Charles, CMO, CRO, Ex-Sibson, SAP/Callidus and Xactly; Tanner Lacey, Cofounder of Spiff and Senior Director of Sales and Partnerships at Sendoso; Matthew Volm, CEO and Founder of RevOps Co-op; Bryan Brown, Cofounder and President of GTM Partners; Tiffany Vail, COO of Silicon Slopes; Catherine Bennett, Executive Editor of Utah Business; Jeremy Baras, Managing Director at Hunt Club; and many more.

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“GTM leaders are expected to do more with less — higher quotas, fewer reps, leaner tech stacks and the growing challenge of cutting through AI noise,” Westwood said. “We’re creating a space where revenue leaders can work side by side with experts who have built some of the world’s most successful businesses to leave with a fully developed, actionable sales plan.”

GTM Live offers the opportunity to not only meet your revenue heroes but also build with them. The event will offer a focused, workshop-based environment without the typical expo halls or vendor booths. Attendees will have the opportunity to review strategy, solve problems and develop real, tangible Go-to-Market plans with the experts. The event will feature keynote sessions, executive roundtables and targeted workshop breakouts specifically designed for CEOs, CROs and RevOps leaders.

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“GTM Live isn’t another sales conference,” said Amy Cook, Cofounder and CMO of Fullcast. “You’ll gain practical, actionable insights and, if you choose, an annual plan built with some of the best revenue leaders in the world.”

Interested participants can apply now to join this one-of-a-kind planning experience and rethink their GTM strategy for FY2026 with the experts who have built some of the world’s best businesses.

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Atlas VMS Acquires AIM-Port Order Management Platform

AMC expands capabilities with significant technology acquisition

Atlas VMS announced the acquisition of AIM-Port, a proven order management platform purpose-built by an AMC. This strategic move marks a significant step for Atlas, laying the foundation for the development of future technology-driven solutions that better serve lenders and appraisal management companies nationwide.

“The acquisition of this platform is a key component of Atlas’s broader mission to bring smarter, high-touch solutions to the appraisal and lending ecosystem—through collaboration, not consolidation,” said Erik Morin, CEO of Atlas VMS.

AIM-Port was developed with deep operational insight, ensuring its features align with the day-to-day realities of the appraisal industry. By bringing an established order management platform in-house, Atlas VMS is enhancing its operations while generating additional revenue streams that will fuel its continued growth.

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The AIM-Port platform will continue to operate seamlessly and independently from Atlas’s core valuation management business. Atlas will retain the entire AIM-Port team to ensure continuity and preserve the platform’s trusted service.

Atlas VMS remains committed to supporting other AMCs, including those who have long used the order management platform, with a longstanding goal to support its peers rather than compete with them. Atlas intends to continually improve the platform and offer existing clients stable and secure access, ensuring business operations can move forward seamlessly without disruption. Ultimately, Atlas VMS will formally fold AIM-Port into its offerings with a full rebrand in the coming months.

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“The acquisition of this platform is a key component of Atlas’s broader mission to bring smarter, high-touch solutions to the appraisal and lending ecosystem—through collaboration, not consolidation,” said Erik Morin, CEO of Atlas VMS. “We view ourselves as a steward of the platform, and we are committed to investing in its future so that it remains reliable, relevant, and responsive to the needs of all users.”

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Clari Reaffirms Commitment to Open Ecosystem to Expand Enterprise Revenue Data and Inform AI Agents

Clari Logo

New integrations enrich Clari’s Revenue Context — unifying data, cadences, and workflows — activating Clari AI Assistants and Agents to automate actions across the entire revenue lifecycle

ai12z adds Shopify integration, Model Context Protocol (MCP) support, and AI response analysis to its agentic platform

ai12z

New updates make it easier for organizations to deploy agents that deliver eCommerce experiences, connect to live data, and optimize AI interactions.

ai12z has introduced a new set of enhancements to its platform, bringing eCommerce functionality through a Shopify integration, real-time data connectivity via Model Context Protocol (MCP), and deeper insight into how AI responses are generated.

Imagine an agent—also known as an AI assistant or digital assistant—that fully represents your organization, answers user questions, and guides them to the next step in their journey. Whether that means discovering a product, checking an order, making a reservation, or resolving a support issue, your assistant is now equipped to make it happen.

Model Context Protocol (MCP): Real-time integrations without the heavy lift
At the core of this release is support for Model Context Protocol (MCP), a new open standard that allows agents to connect to external systems through a shared, unified structure. MCP eliminates the need to build custom integrations for every service. Your agent can now access a growing ecosystem of compatible systems—such as CRMs like Salesforce or HubSpot, reservation platforms, inventory tools, and more. Connections are fast, scalable, and require no custom code. This enables real-time, dynamic responses at scale with far less effort.

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Shopify integration: Let your agent drive the sale
Our new Shopify integration, built using MCP, transforms your assistant into an interactive eCommerce layer for your website. Users can ask for exactly what they’re looking for, such as “I’m looking for women’s polarized sunglasses that are great for road running,” and the assistant returns tailored product results in rich formats like carousels or scrollable lists. It can check product availability, retrieve order status, and view cart contents directly within the conversation. This creates an engaging shopping experience that helps users move from product discovery to purchase, helping drive higher conversion and revenue.

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Analyze Response: Gain insight into agent responses and optimize them
To help teams better understand how an agent generates responses, we’ve introduced Analyze Response. This new feature lets you inspect how a specific answer was generated and offers suggestions for improving the system prompt behind it. Whether you’re part of an internal team fine-tuning your agent or an agency managing multiple clients, Analyze Response brings visibility and control to assistant behavior. It simplifies debugging, enhances quality assurance, and supports continual improvement.

These new capabilities enable organizations to build action-oriented agents that engage users, support real-time needs, and deliver measurable results.

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Trax Retail Revolutionizes In-Store Execution for CPG Brands with New On-Device IR Technology, Powering the “Perfect Store”

Trax logo

Powered by augmented reality (AR), On-Device Image Recognition (IR) delivers real-time shelf insights and enables global brands to take immediate corrective actions – even offline

Trax, the technology company revolutionizing retail through data-driven AI, announces the launch of its AR-powered On-Device IR, a new solution for consumer packaged goods (CPG) companies to understand and respond to shelf conditions in real-time. Leveraging the industry’s leading AI-based image recognition platform, On-Device IR collects massive amounts of proprietary data and signals at the shelf, with no interruption from Internet connectivity or obstacles, so brands can make quick and cost-effective decisions about their store-level execution.

“Our vision is to give CPGs immediate, actionable insights into shelf conditions, so they can respond to what’s happening in stores the moment it matters most,” said David Gottlieb, Chief Revenue Officer of Trax. “Brands need clear, real-time visibility into the aisles to address issues quickly and capture sales that might otherwise be lost. By equipping merchandisers, sales representatives and store managers with this solution, we’re providing our global CPG partners with a powerful advantage in retail execution and laying the foundation for even more advanced data solutions in the future.”

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Bringing Augmented Reality to Retail

On-Device IR is built on Trax’s technology, which goes beyond classical image recognition to provide insightful metadata via an augmented reality scan, rather than just a static image, and without the need for WiFi connectivity. On-Device IR also manages the recognition process in 3D space while tracking product location and physical dimensions. When combined with Trax’s existing AI Platform capabilities, this technology delivers:

  • Real-time, on-device recognition capabilities without the need for Internet connectivity
  • High-accuracy product identification through video stream and depth sensors
  • An immersive AR user experience with resilience to interruptions
  • Interactive capabilities for field teams

How It Works

  • Data Collection: Using Trax’s proprietary mobile app or SDKs, field teams of manufacturers, independent auditors, or store managers and merchandisers identify the product section to capture and scan entire shelves, displays, coolers, or aisles.
  • Digitization and Reporting: As field teams scan, the app simultaneously generates a list of critical corrective actions. Representatives can immediately correct or report on any issues, eliminating the need to wait for reports. Importantly, the system captures detailed information about shelf layouts, product placement, and inventory levels—even when internet connectivity is unavailable.
  • Delivering Granular Data and Results: All data is centralized in a singular dashboard with easy-to-interpret visualizations and API, enabling users to monitor KPI performance down to the product level. CPG brands can examine store-level details and visualize shelves exactly as they appear in-store, with highlights for both their own SKUs and competitors’ products.

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“We’ve been using On-Device IR in key stores in Portugal for just a few months, and already 100 percent of our users have said that On-Device IR helps them make faster decisions in store,” said Daniela Silva, Head of Customer Marketing & Field at Unilever FIMA. “This is operational efficiency and action in real time. On-Device IR is a simple-to-execute, out-of-the-box solution that works effectively across regions, stores, and teams. The interactive and actionable insights we’ve gleaned help us support our sales forces to be more productive, efficient, and accurate.”

On-Device IR is available as an add-on to existing live projects or as a standalone solution and is already being used by top CPG brands. Global consumer goods manufacturers and retailers already leverage Trax’s in-store execution, store monitoring, and retail analytics solutions to better manage on-shelf availability and optimize merchandising. These solutions are powered by proprietary fine-grained image recognition and machine learning algorithms that turn photos of retail shelves into granular, actionable shelf and store-level insights.

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