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Conexis VMS Launches “Nexi AI” Functionality, Continuing to Revolutionize Contingent Workforce Management

Conexis debuts Nexi AI, an AI agent designed to streamline contingent workforce management and enhance VMS client support

Conexis VMS, a leader in Vendor Management Software, is excited to announce the launch of its first artificial intelligence feature “Nexi AI”, an AI agent designed to transform and elevate how customers engage with the Conexis platform.

This milestone marks the beginning of Conexis’ broader artificial intelligence integration strategy, Nexi AI, focused on boosting operational efficiency, enhancing user experience, and improving the performance of contingent workforce programs – all to help clients bring on the right contingent talent, fast.

“This is just the beginning of our AI roadmap, as we continue to stay laser-focused on being the most innovative and modern VMS on the market,” said John Clark, President & CEO of Conexis VMS. “Our revolutionary tech stack allows us to deliver cutting-edge AI features to the market more quickly than many competitors. We have several more AI capabilities in development with both AI agents and AI workflows, set to roll out later this year and into 2026. AI is evolving rapidly, and I’m proud that Conexis is taking the lead in our industry, reinforcing our role at the forefront of driving innovation in the VMS market.”

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Nexi AI first generation will focus on customer support, leveraging advanced natural language processing to deliver fast, accurate, and human-like responses to customer inquiries – available 24/7 in a range of languages. The AI functionality means Nexi is constantly learning about individual clients and their specific systems to provide customized, more accurate responses.

– Key benefits of the Nexi AI Support Agent include:
– Instant support for frequently asked questions and common troubleshooting.
– 24/7 availability, ensuring customers, including MSP users, HR, Hiring Managers, Staffing Agencies and Workers, always have access to help.
– Smart escalation, seamlessly transferring complex issues to human agents.
– Client-specific responses that provide support based on the user’s role and specific system configurations/customizations.
– 170 languages, with instant translation if tickets are escalated to a human agent.
– Multichannel integration, including website, mobile app, and more.

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The Nexi AI agent has been trained on thousands of real customer interactions, training materials, and client-specific system customizations to ensure high-quality assistance – and is continually learning to better serve user needs.

“The Nexi AI support agent is a natural extension of our award-winning white glove customer service,” said Michelle Rhodes, VP Client Operations of Conexis. “Our customer service approach, with dedicated client representatives, won’t change – we’re just enhancing our support model to be even more responsive and available 24/7. With the ability to better-serve a more dynamic geographical range and allow real-time language translation, Nexi AI will allow us to further broaden our customer base, and serve customers in new regions more effectively, in over 35 languages.”

With this launch, Conexis VMS reaffirms its commitment to being the leader in VMS innovation, efficiency, and customer service. This AI milestone is just the beginning of a roadmap that includes deeper automation and AI-driven insights in the near future.

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Route Announces CEO Transition as Company Enters Next Phase of Growth

Eric Kobe joins Route as CEO to lead the company’s next chapter; Michael Yamartino to step into board role

Route, the post-purchase platform trusted by the world’s leading ecommerce brands, announced that seasoned technology executive Eric Kobe will join the company as chief executive officer (CEO) effective July 14, 2025Kobe joins the company’s executive team to lead Route through its next stage of growth, as current CEO, Michael Yamartino, transitions to a board role.

“Route has an extraordinary opportunity to continue to redefine what shoppers expect after they click ‘buy,'” says Kobe. “The team has built a platform that not only drives measurable growth for brands but also creates seamless, trusted experiences for their customers. I’m excited to build on this foundation and lead Route in shaping the future of post-purchase commerce.”

Kobe brings decades of experience at the intersection of ecommerce, fintech, and insurtech to his new role at Route. He forged partnerships with ecommerce giants like Walmart, Wayfair, and Peloton during his time in senior leadership positions at Affirm, and served as CEO at Groundspeed, an AI-driven insurtech company. He most recently served as CEO of Koalifi, a consumer finance platform for brands and retailers. His extensive experience and deep familiarity with the needs of ecommerce brands and shoppers will accelerate Route’s next phase of growth.

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“These past five years at Route have been a highlight of my career,” says Yamartino. “Route is poised for amazing things in this next phase, so finding the right leader was critical to me and the founders. Eric immediately stood out with his experience scaling companies, deep understanding of ecommerce, and natural alignment with our culture. I couldn’t be more excited to pass the baton to him.”

Founded by Evan Walker and Mike Moreno in 2019, Route quickly became one of the fastest-growing technology companies in the world by innovating on the post-purchase experience and creating the shipping protection category.

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Yamartino joined Route in 2020 and stepped into the CEO role in 2023. Under his leadership, Route has proven its resilience and become a profitable, category-leading platform trusted by over 13,000 of the world’s leading brands. This strong foundation sets Kobe up to continue solidifying Route’s category ownership as the leading post-purchase platform.

Founder and Executive Chairman Evan Walker expressed enthusiasm about the company’s direction under Kobe’s leadership: “I’m incredibly excited to partner with Eric as we enter our next chapter of enterprise growth. His proven ability to scale organizations and drive strategic innovation aligns perfectly with our vision for Route’s future. Eric’s leadership will undoubtedly propel us to even greater heights.”

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Stord Expands AI-Driven Consumer Experience Technology Suite with Acquisition of Penny Black

Acquisition adds to Stord’s CX suite to unlock new revenue, increase average order value 25%, & consumer retention for brands at unboxing with personalization.

Stord, a commerce-enablement leader providing high-volume fulfillment services and e-commerce technology for leading brands, announced its acquisition of Penny Black, a SaaS solution providing hyper-personalized post-purchase inserts to unlock new branded experiences, drive increased revenue, and foster improved retention.

This acquisition, and recent other addition to our Consumer Experience suite, provides our brands a tangible way to truly influence the consumer experience and improve bottom line revenue”
— Sean Henry, CEO and co-founder of Stord

Historically brands were extremely limited when it came to personalization during the fulfillment and delivery of orders. While brands have become accustomed to unique messaging and offers when marketing to potential customers online, that experience broke down in the physical world. Brands could only choose between white-glove inserts for a handful of key customers or generic inserts that could accommodate all customers and all buying habits, diluting the impact and effectiveness. Ultimately, this limited a brand’s ability to capitalize on a mostly-untapped marketing channel, hindered retention efforts, and prevented deepening loyalty with end consumers.

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With 71% of online shoppers expecting personalized communications and services, and 49% saying they are more likely to repeat shop after a personalized experience, brands need to capitalize on every opportunity available to create a differentiated and unique experience for each and every customer.

Over the near decade of Stord’s history, the guiding principle has remained the same – help brands grow revenue, reduce operational costs, and delight end consumers. These value propositions are what make Stord The Consumer Experience Company—leveling the playing field with prime. This has seen Stord expand to a fulfillment infrastructure spanning across North America, the United Kingdom and the EU, while delivering billions of products, and powering nearly $10 billion in commerce annually. This growth has allowed Stord to aggressively expand functionalities and invest heavily towards infusing AI systems across the entire process of bringing a product from the port, to the end consumer, anywhere in the world.

Penny Black was founded in 2021 and brought an innovative approach to deliver targeted, hyper-personalized branded inserts. With Penny Black, brands can easily provide specific product recommendations, unique coupon codes, custom videos, gift messages, or more addressed to an individual consumer based on marketing data and purchase history. These personalized inserts are printed on-demand at pack stations to drive a differentiated, branded unboxing experience. Current Penny Black customers have seen a 300% ROI within the first three months alongside a 25% AOV uplift.

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Penny Black’s direct integration with existing CRMs and CDPs empower brands to create instantaneous customizations based on details for each order and/or customer. Now, offers can be segmented by any number of marketing, purchase, or customer data points – order size or price, history, location, marketing campaigns, reviews, or more. New customers can now be offered a unique welcome message with information on the product and a discount for a complimentary product, while a customer with a higher order value could get a custom thank you note and a code for free shipping on their next purchase. These insights, once integrated into a broader ecosystem, can also power customized email, SMS, and future consumer outreach campaigns.

“By fusing the capabilities of Penny Black with Stord’s comprehensive Consumer Experience suite, order management system, and warehouse management system, Stord customers can elevate the physical unboxing experience and tap into additional consumer value,” said Craig Stewart, SVP of Product and Engineering at Stord. “This kind of personalization was previously only available for digital-only solutions, but has the added benefit of a 100% open rate during unboxing.”

The acquisition of Penny Black compliments the complete end-to-end consumer experience platform central to Stord’s mission, providing brands of all sizes unparalleled pre- and post-purchase capabilities in addition to the benefits of Stord’s economies of scale.

Penny Black’s technology joins dozens of purpose-built SaaS and AI solutions – including Shipment Protection, Post-Purchase Notifications, Expiration Management, and more – that help improve operational efficiencies, strategic investments, and visibility across every facet of complex e-commerce logistics. These efforts have propelled Stord to be The Consumer Experience Company for brands seeking to meld rapid fulfilment speeds, operational efficiencies, end-to-end visibility, and unequalled unboxing experiences.

“The consumer experience is the sum total of every element of your brand across marketing, product quality, fulfillment, returns, unboxing, and more. Every area a consumer experiences, either directly or indirectly, must be refined and improved if a DTC brand wants to thrive in a saturated and expensive ecosystem. This acquisition, and recent other addition to our Consumer Experience suite, provides our brands a tangible way to truly influence the consumer experience and improve bottom line revenue,” said Sean Henry, CEO and co-founder of Stord. “What is most exciting about the fusion of all of these interlocking fulfillment, delivery, and technology systems is that now brands have greater ability to earn and retain more customers and more profit. This is yet another step towards a level-playing field so all brands can deliver a lasting consumer experience on every order, every time.”

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Audit Sight Launches Management Meeting Module for Transaction Advisory Teams to Accelerate Deal Cycles and Surface Key Insights

Audit Sight, the AI technology platform transforming audit and transaction advisory services (TAS), announced the nationwide release of its latest innovation: the Management Meeting Module. Purpose-built for Quality of Earnings (QoE) professionals, this new tool eliminates 80% of the prep time by automatically identifying and surfacing the financial trends and EBITDA adjustments.

Purpose-built for Quality of Earnings (QoE) professionals, Audit Sight’s new tool eliminates 80% of prep time in the deal cycle for transaction advisors.

Designed for Transaction Advisory Professionals

In high-stakes M&A transactions, speed and insight are everything. Audit Sight’s Management Meeting Module empowers QoE teams to:

  • Quickly identify material account balances and fluctuations over the deal period.
  • Surface movements outside normal expectations, using intelligent analysis based on users’ designated materiality and standard deviation thresholds. Teams now easily identify and track potential EBITDA adjustments to discuss with management.
  • Prepare sharper, data-driven questions for management interviews without “eyeballing” trial balances or combing through thousands of rows of financial data. The new module will automatically calculate key profitability and efficiency ratios to drive more targeted and informed discussions.

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By formalizing and automating this critical early step in the diligence process, the module helps firms move faster, eliminate manual work, and provide a more consultative, insight-driven client experience.

The backbone behind this powerful solution is Audit Sight’s AI engine: FARS. FARS (Financial Anomaly Risk Score) is a purpose-built AI model trained by CPAs and informed by millions of financial transactions. It leverages multi-dimensional pattern recognition to surface unusual entries often buried in raw accounting data. Each transaction is evaluated in context, so users are not just flagging outliers—they’re uncovering meaningful financial risks that could impact EBITDA and ultimately influence the purchase price.

“Every hour counts in a deal, and the Management Meeting Module gives TAS leaders back their time,” said T.C. Whittaker, Co-Founder and CEO of Audit Sight. “By automating the heavy lift of data review, professionals can ask better questions, spot risks sooner, and deliver higher-quality diligence faster. Our AI engine, FARS, makes this possible — and as a CPA, it’s exciting to see technology transform how diligence gets done.”

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Built to Accelerate Deal Execution

The newly released Management Meeting Module enhances Audit Sight’s Transactions Advisory platform, enabling:

  • Faster kickoff and turnaround of engagements.
  • Smarter, data-informed interviews with management.
  • Greater consistency across teams and engagements with accurate EBITDA assessments and deal valuations to support QoE conclusions.

Todd Wrenn, a Principal at Miller Cooper Ltd., an Audit Sight customer, noted: “Preparing for the initial management meeting has traditionally been a bottleneck. With this technology, we’ve shaved days off the deal cycle and ensured nothing is overlooked during the initial review, ultimately delivering greater value to our clients. It’s a game changer.”

A Smarter Start to Every Engagement

The release of the Management Meeting Module reflects Audit Sight’s continued commitment to eliminating manual work, accelerating timelines, and improving the quality of advisory services through intelligent automation.

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Ordoro Launches Branded Tracking Pages to Help eCommerce Merchants Build Post-Purchase Loyalty

Helping eCommerce merchants turn tracking clicks into branded experiences that build loyalty and boost repeat sales.

Ordoro, Inc., a leader in eCommerce logistics and inventory management, has launched Branded Tracking Pages, a new feature designed to help online merchants transform generic shipping updates into high-impact brand moments. The feature gives eCommerce businesses a simple and powerful way to reinforce their brand, answer common questions, and drive repeat purchases all from a page their customers already visit multiple times: the tracking page.

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We built Branded Tracking Pages to turn a passive shipping update into an active marketing opportunity.

Every time a customer checks their tracking page, they are actively thinking about the brand. Rather than sending them to a plain carrier site, Branded Tracking Pages allow merchants to create a fully branded experience that includes:

  • Custom logos and store branding
  • Product images and order summaries
  • Return policies and helpful links
  • Social media handles for continued engagement

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“We built Branded Tracking Pages to turn a passive shipping update into an active marketing opportunity,” said Jagath Narayan, CEO and Co-founder of Ordoro. “It is one of the most visited pages in the buying journey, and it should reflect the brand.”

Branded Tracking Pages are included with Shipping Premium, giving merchants an easy way to upgrade the customer experience without adding new apps or extra costs. It is one more way Ordoro helps eCommerce brands grow smarter and keep their operations and their brand running strong.

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Vendasta Appoints John Vars as Chief Product Officer to Lead AI-First Product Vision

Vendasta, the AI-native customer acquisition and engagement platform for small businesses and their trusted partners, has appointed John Vars as Chief Product Officer. The appointment signals a bold next chapter in Vendasta’s evolution as an AI-first company — and a commitment to delivering intelligent, sticky solutions that drive measurable growth for agencies and SMBs worldwide. The move underscores Vendasta’s commitment to leading the next wave of intelligent automation—empowering agencies, media companies, and SaaS providers with sticky, scalable AI solutions purpose-built for SMB growth.

Vars, a seasoned product leader and entrepreneur, brings more than two decades of experience turning complex challenges into intuitive, scalable solutions. He co-founded Dogster and led product at high-growth companies like TaskRabbit and Varo Money. Most recently, as CEO of Mixhalo, he spent over five years at the helm — guiding the company through multiple product launches, including Mixhalo Translate, an AI-powered language interpretation tool for live events. Vars’ career reflects a deep commitment to blending innovation with impact, especially at the intersection of user experience, AI, and business growth.

“John is equal parts realist and visionary, which is the exact combination we need as we double down on our AI-first strategy,” said Brendan King, CEO of Vendasta. “In the last year alone, we’ve built a multimillion-dollar AI business inside Vendasta with unprecedented traction. This is the kind of product our partners are asking for — high-value, easy-to-deploy AI solutions that get them in the game. In just one quarter, Vendasta’s AI platform helped drive over 35,000 unique customer conversations for Neighborly, resulting in 18,000 leads, 11,700 appointments, and 3,400 conversions. That’s a 372% increase in leads converted to revenue compared to the prior year. “This isn’t incremental improvement—it’s AI fundamentally rewriting the rules of local customer acquisition.”

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Among the standout success stories: Denver-based agency The Xcite Group achieved $745K in gross market revenue and 100% retention using Vendasta’s AI-powered tools, including AI Receptionist and the SMB dashboard, Business App. These tools don’t just streamline operations — they drive conversions, scale revenue, and deepen client relationships by blending automation with a human touch.

“AI isn’t just a feature. It’s becoming the foundation of the modern agency and the SMBs they support,” said Vars. “What excites me most about Vendasta is the clarity of vision and the urgency of this moment. We’re not waiting for the future, we’re building it. And we’re perfectly poised to take advantage of this time, as the rise of AI builds on our core company strengths.”

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As Chief Product Officer, Vars will lead Vendasta’s product, design, and platform teams, guiding the company’s transition into a fully AI-native ecosystem. His leadership arrives as Vendasta prepares to roll out a series of new AI Employees — digital agents that help agencies automate lead generation, client onboarding, reputation management, and more.

The announcement comes at a time when AI adoption among SMBs is accelerating, and agencies are under pressure to offer smarter, scalable solutions. With Vars at the helm of product strategy, Vendasta aims to set the standard for how AI is deployed across the partner-powered channel.

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Validity Releases ‘State of CRM Data Management in 2025’ Report, Revealing Disconnect Between Data Quality and AI Implementation

76% say less than half of their CRM data is accurate and complete, which creates AI implementation failures and severe financial consequences

Validity released its The State of CRM Data Management in 2025 report, revealing a troubling disconnect: 90% of organizations recognize CRM data as the cornerstone of their operations, yet 76% said less than half of their organization’s CRM data is accurate and complete.

Based on insights from 602 CRM users and administrators across the U.S., U.K. and Australia, the findings expose critical vulnerabilities as businesses rush to implement AI solutions built on unreliable data foundations. For example, 45% of companies’ CRM data isn’t prepared for AI, despite 29% of respondents at the VP-level or above feeling pressure to use AI as a replacement for high-stakes initiatives like hiring.

Industry analysts suggest we’re entering the era of “good enough” data, where organizations settle for functional rather than flawless. As AI tools magnify existing data issues, organizations face a looming data crisis threatening to undermine critical business initiatives. In this report, companies admit to lacking data accuracy, completeness, consistency and timeliness. Yet, only 32% admit they struggle with data quality issues, revealing the deeper structural problem: “Good enough” will create bigger problems tomorrow — and with this poor data quality comes severe and measurable financial consequences:

  • 37% of organizations lose revenue as a direct result of data quality.
  • 1 in 4 companies experience a 20% or greater drop in annual revenue.
  • Companies lose an average of 16 sales deals per quarter as a result of poor-quality data.
  • 37% report delayed key revenue-generating initiatives due to bad data.

“There’s a growing gap between confidence and reality when it comes to data quality,” said Cynthia Price, SVP of Marketing at Validity. “Organizations are facing serious data and process issues, but aren’t acknowledging them, and they’re layering AI on top without addressing the foundation. Leaders need to step in early to align teams and set clear expectations for data management. Companies that fix this disconnect early will stay competitive. Those that don’t risk making costly AI investments that reinforce existing problems.”

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CRM data isn’t shaped solely by technology and processes — leadership plays a major role. While 68% of executives believe their teams have adequate data, frontline data users paint a starkly different picture:

  • Workers spend, on average, 13 hours per week hunting for basic information in the CRM.
  • 37% of staff regularly fabricate data to tell leaders what they want to hear.
  • Only 19% of CRM users say leaders actually change course when presented with countering data, despite 84% of leaders claiming they do.

With 54% of organizations already deploying generative AI tools, they’re building sophisticated systems on these shaky foundations. The rush to implement AI doesn’t address underlying data quality issues; rather, it amplifies them exponentially. Unfortunately, organizations continue choosing tactical Band-Aids over strategic solutions, with 57% of respondents saying their organization has implemented manual data cleaning efforts while cutting investment in dedicated data quality personnel. Only 18% of organizations without a full-time employee responsible for CRM data quality plan to hire one in the next twelve months, a 56% decrease from 2024.

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A dangerous illusion of “progress” is masking deeper structural problems spanning governance gaps, system fragmentation and measurement blind spots, which may ultimately determine whether AI initiatives deliver transformational value or amplify data dysfunction.

The data is clear: Organizations are operating on fundamentally flawed assumptions about their data capabilities. Beyond AI, go-to-market teams increasingly rely on CRM data for automation, campaign personalization and dynamic content, where data quality not only jeopardizes individual sales but also damages brand reputation through irrelevant messaging and broken customer experiences. This growing dependence on data-driven marketing means reliable data has never mattered more.

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Airship Unveils AI Agents to Speed Brands’ Delivery of High-Impact Customer Experiences

Airship

Airship’s new intelligent agents work independently or in tandem to create, test and optimize customers’ entire experience across apps, websites and all channels

Designed for brand safety, all agents keep humans in the loop, adhere to brand style guidelines and proactively ensure accessibility requirements are met

Akeneo Introduces First AI Data Architect Agent and New PX Insights Capabilities to Prepare Enterprises for AI-Driven Commerce

Akeneo’s Summer 2025 Release introduces connected AI innovations that build and evolve product data models automatically, and optimize them continuously based on real-world shopping signals from the channels of tomorrow

Akeneo, the Product Experience (PX) company and global leader in Product Information Management (PIM), delivered a set of first-of-their-kind Summer 2025 innovations designed to prepare enterprises for the arriving wave of AI-powered commerce.

Headlining the release is Akeneo Data Architect Agent (DAA)—the company’s first AI agent—alongside major enhancements to PX Insights Channel Analytics Suite that decode how generative-AI shopping assistants and Google Shopping rank and display products.

Together, these advancements reduce the initial implementation time of Akeneo PIM and Product Cloud, enable a flexible, adaptable approach to data model evolution and migration, and connect these data governance practices directly with the modern, intent-based, AI-powered discovery experiences rapidly emerging in the market.

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Break the bottleneck: AI-powered product modeling in minutes
DAA leverages Akeneo’s deep product-modeling expertise to generate accurate, governable data models in a fraction of the usual time, cutting implementation from months to days. Brands, retailers, and manufacturers can now launch or re-architect catalogs at enterprise scale without sacrificing control or data quality.

“Our agentic AI is purpose-built to solve the single biggest pain point in product data management—modeling,” said Andy Tyra, Chief Product Officer, Akeneo. “DAA lets teams design flexible models once and adapt forever, turning product data from a slow-moving liability into a fast, flexible, strategic AI-powered asset.”

Key enhancements to the Akeneo Product Cloud further strengthen the Data Architect Agent, extending governance, flexibility, and adaptability:

  • AI-Powered Product Enrichment instantly extracts structured data from images and PDFs, accelerating SKU creation and reducing manual entry.
  • Composable Products, a modern alternative to traditional product associations, offering a more intuitive and scalable way to model product bundles, kits, and modular components.
  • Attribute Type Migration lets data owners convert existing attributes (e.g., from plain text to localized rich text, channel-specific, or measurement attributes) on the fly. No more agonizing over the “perfect” model on day one—simply change the decision when business needs evolve.

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Together, these innovations help teams manage product data with speed, accuracy, and control.

Optimizing Product Visibility in the Age of AI Commerce
PX Insights is Akeneo’s analytics solution that connects real-world customer behavior, sentiment, and shopping signals directly to product data inside Akeneo PIM, giving brands actionable feedback to improve performance and engagement.

In Akeneo’s Summer 2025 Release, PX Insights gains powerful new capabilities to help businesses thrive in the era of AI-driven discovery. The new AI Discovery Optimization feature reveals how products are interpreted and recommended by AI shopping assistants like ChatGPT, helping teams fine-tune content and supporting structure for maximum visibility and relevance.

Additionally, the new Google Shopping Optimization Dashboard highlights gaps in product listings and campaign performance, enabling fast, data-backed improvements that increase conversion and ROI.

These capabilities reinforce Akeneo’s commitment to being a leader and innovator in creating a world where every product interaction is an experience that guides consumers and professionals to the best purchase, anytime, anywhere.

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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.

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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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