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GenAI Software Company pWin.ai Raises $10M in Seed Funding

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Leader in AI-Enabled Proposal Writing has Exclusive Shipley Associates Partnership

pWin.ai, the only AI proposal-writing copilot built with Shipley best practices inside, announced it has raised $10 million in a Seed financing round led by MicroStrategy co-founder Sanju Bansal, members of the Blue Delta Capital team and other Government Contracting (GovCon) industry leaders. This investment will accelerate pWin.ai’s product innovation, customer growth, and market expansion.

“pWin.ai simplifies RFI and RFP response generation, empowering businesses and government contractors at the federal, state, and local level to increase both bid volume and win rates,” said Vishwas Lele, Co-founder and CEO of pWin.ai. “What sets our enterprise-grade SaaS products apart is our relentless focus on writing quality—our solution uniquely combines AI efficiency with proposal-writing expertise, delivering comprehensive, pink-team-ready proposal drafts for our customers with a clear return on investment.”

Exclusive Partnership with Shipley Associates.

Built in partnership with Shipley Associates, the world’s leading experts in business development training and proposal support, pWin.ai’s RFP product integrates gold-standard proposal methodologies into every draft, aligning structure and strategy with evaluator expectations. It has proven to reduce the time needed to get to a high-quality Pink draft by 80% and improve win rates by as much as 20%.

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

Trusted by Leading Enterprises and GovCons.

Founded in 2024, pWin.ai is already streamlining the proposal processes at leading enterprises, Parsons and Astrion, as well as fast-growing small and mid-sized companies such as CRL Technologies and Applied Information Services (AIS).

“pWin.ai gets us to a quality Pink Team draft faster. It gives us a head start without compromising what we care about most: quality, compliance, and control,” said Holly Losh Trombly, Corporate VP of Proposals at Astrion. “For us, it has proven to be not just another software product but a strategy amplifier that frees up the team to surface insight faster and deliver on our big growth goals—without burning out or losing human control.”

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pWin.ai’s newest product release extends the same focus on quality and efficiency to RFI and questionnaire responses, helping its customers respond to RFIs faster, more efficiently, and effectively without over-relying on billable subject-matter experts.

“pWin.ai is designed specifically for the complex business process of proposal writing and effective commercial storytelling. We have been successfully tackling the extremely difficult challenge of long-form proposal writing with our RFP solution, and are now extending to additional marketing, sales, and contracting use cases with our new RFI and Questionnaire capabilities,” said Executive Chairman Sanju Bansal.

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IntelAgree Transforms Contract Risk into Measurable Data with New Scoring Feature

IntelAgree Logo (PRNewsfoto/IntelAgree)

IntelAgree, a leading AI-powered contract lifecycle management (CLM) platform, announced the general release of its highly anticipated contract risk scoring functionality, making it available to all customers following a successful beta period. This release addresses a critical need for enterprise organizations to quantify contract risk objectively and consistently across departments and contract types.

IntelAgree will offer risk scoring in two versions: a standard option available to all customers, and an AI-assisted version powered by Saige Assist, available exclusively to customers with the full Saige Assist suite. This gives teams the flexibility to choose the level of automation and guidance that best fits their risk management needs:

  • Risk Scoring (Standard) gives customers complete control to configure risk parameters for contract attributes without requiring AI assistance. Users can define scoring bands, assign weights to attributes, and create formulas based on what matters most to their organization.
  • Saige Assist: Risk Scoring enhances the standard offering by using generative AI to streamline implementation. Customers simply identify which attributes matter most to their risk assessment, and Saige Assist automatically generates appropriate scoring configurations.

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

“Contract risk has always been a challenge for organizations because different departments often have varying definitions and perspectives on what constitutes ‘high risk,'” said Michael Schacter, Director of Product Management at IntelAgree. “Our risk scoring functionality solves this by creating a universal language for risk across the organization. When executives and stakeholders discuss contract risk in board meetings, they’ll finally be able to make decisions based on consistent measurements rather than subjective opinion.”

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With IntelAgree’s new risk scoring module, teams can now:

  • Assign scores to individual attributes (e.g., payment terms, expiration dates, auto-renewals, etc.), with customizable weights and bands that determine low, medium, and high risk designations.
  • Automatically calculate overall contract risk scores based on the combination of attribute scores, with flexible formulas including weighted averages or sums.
  • Drive approvals based on risk level, ensuring high-risk contracts are routed to the appropriate stakeholders before signature.
  • Track how risk changes across contract versions, visually demonstrating the impact of negotiation cycles and strengthening legal’s ability to “show their work.”
  • Instantly identify high-risk contracts or attributes across the entire contract portfolio based on customer-determined scoring parameters, enabling proactive risk management.

With the introduction of risk scoring, IntelAgree is delivering on its vision to transform contracts from static documents into strategic assets. Organizations can now make more informed decisions at every stage of the contract lifecycle, from initial negotiations to ongoing management and even through mergers and acquisitions.

“Contracts are your first line of defense — and your biggest blind spot if you don’t have visibility,” said Lee Rone, General Counsel at IntelAgree. “With this new module, organizations can immediately understand their risk profile across their entire contract portfolio and make data-driven decisions about where to allocate resources.”

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Transfix Expands Modal Capabilities to Include Flatbed Across Spot and Contract Lanes

Transfix

Transfix announced the expansion of its pricing capabilities to now include flatbed for both spot and contract freight. This marks a major milestone as Transfix can now support customers across the industry’s most critical truckload modes—dry van, reefer, and flatbed—delivering broader access to capacity and streamlined pricing solutions.

For flatbed shipments, customers will benefit from Transfix’s deep industry expertise in pricing strategies that account for factors like equipment scarcity, and project-based shipment clusters. Brokers can now better navigate dynamic market complexities and secure the right rates with confidence.

The addition of flatbed coverage has been highly anticipated by customers, many of whom have been requesting more versatile solutions to meet the demands of complex freight movements. With this expansion, brokers can now leverage Transfix’s technology to confidently price and source flatbed shipments with the same reliability and precision they’ve come to expect for dry van and reefer moves.

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

“We’re excited to bring our flatbed offering to market and meet a longstanding request from our customers,” said Jonathan Salama, Transfix CEO & Co-founder. “By supporting spot and contract pricing for flatbed, we’re expanding our ability to deliver smarter, faster solutions across an even wider range of transportation needs to prepare the industry for dynamic market conditions, especially ahead of the evolving tariffs conversation.”

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The flatbed pricing expansion builds on the momentum of Transfix’s latest innovations, such as the launch of its RFP Workflow Tool, which helps freight brokers automate and manage their contract bidding processes with real-time rates across multiple modes.

Transfix, Inc. is a freight technology leader dedicated to empowering brokers and 3PLs with innovative AI-driven pricing and load management solutions. Our Custom Rate Prediction Suite delivers tailored, highly accurate spot and contract rate forecasts, streamlined RFP workflows, and automated bidding tools that save time and improve margins. With over a decade of brokerage expertise and a commitment to data privacy, Transfix provides real-time insights and custom models that give brokers a competitive edge while ensuring their data remains proprietary. Transform your operations with the trusted partner in freight technology.

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Mediafly Enhances AI Revenue Enablement Suite with Appinium Acquisition

The deal adds the number one Salesforce-native learning management system to Mediafly’s product suite, consolidating marketing, sales, service and learning data in a single platform to empower businesses to leverage their content effectively

Mediafly, the revenue enablement company, announces the acquisition of Appinium, the top learning management system in the Salesforce AppExchange. The deal closed in April and all Appinium employees and executives have joined Mediafly. Financial terms of the deal are not being disclosed.

The sales enablement market is rapidly evolving to address challenges faced by sales and marketing teams, including misalignment, content overload, poor tech adoption, data silos and difficulty measuring effectiveness. Unified platforms, especially those driven by AI, can simplify workflows, boost user adoption, foster better alignment between departments, improve sales efficiency and ensure the delivery of relevant, timely content to prospects.

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

Mediafly’s AI-driven platform is used daily by top B2B go-to-market teams to engage buyers, prepare sellers, quantify value and continuously optimize sales team performance. The platform features enterprise functionality, including robust user management and permissioning, stringent brand governance, effortless personalization, seamless data integration and reliable security. Mediafly customers include ADP, Adobe, Heineken, Honeywell, Nestle and TransUnion.

Appinium is a 100% native-to-Salesforce learning management system that empowers companies and partners to leverage content (video, e-learning, audio, PDFs, etc.) seamlessly throughout marketing, sales, enablement, training and support. Using Agentic AI, customers can leverage consumption data and Salesforce outcome data to predict and drive behaviors. And because it’s native, the entire administration, user experience and data collection stays within Salesforce. Appinium customers include Cellebrite, FICO, Hire Heroes and Mitsubishi.

This acquisition plays a foundational role in Mediafly’s agentic AI-supported revenue enablement vision: a world in which intelligent agents collaborate with sales teams to analyze content engagement, recommend training, surface next-best actions and streamline execution, enhancing revenue enablement by amplifying the skills, behavior and performance of every rep. The combined platform delivers four core capabilities:

  • Revenue Enablement: Arm sellers with personalized content and skill-building programs, while AI agents analyze performance and surface tools, messaging or learning.
  • Learning Enablement: Create and deliver employee, partner and customer learning experiences directly inside Salesforce. Intelligent agents will soon recommend upskilling paths based on rep behavior and deal outcomes.
  • Marketing Intelligence: Track real-time engagement with video and interactive content to better understand buying signals. Mediafly’s Automation as a Service vision brings these insights into automated campaign optimization and sales coaching.
  • Service Enablement: Enhance post-sale success with interactive video content and smart support workflows, allowing agents to automate knowledge delivery based on case context and customer behavior.

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“The acquisition is about more than expanding our product – it creates depth with an intelligent agent layer on top of the content and learning that fuels modern sales teams,” said Miles Nurse, CPO of Mediafly. “With Appinium, we can unify enablement, content and AI-driven insights in a single workflow, allowing businesses to move from insight to action, and eventually automation.”

“Appinium is the number one Salesforce-native LMS in the AppExchange,” said Steve Jacobson at Appinium. “The acquisition is a great outcome for our customers, who will benefit from a comprehensive Mediafly platform that consolidates marketing, sales, service and learning data in a single solution to empower revenue professionals with the content they need, when they need it.”

“By acquiring Appinium, we have strengthened our platform and secured our position as the leading revenue enablement platform for CRM users,” said Bill Walsh, CEO of Mediafly. “It also accelerates our path to autonomous workflows by providing the fuel (data) and context (CRM-native workflows) for agents to act intelligently. It moves us from ‘content delivery’ to autonomous performance enablement, allowing revenue professionals to focus on customers and deals.”

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LuminX Secures $5.5M to Revolutionize Warehouse Operations with Vision Language Models (VLMs) on the Edge

LuminX, an AI-driven company pioneering cutting edge inventory automation and visibility, announced the closure of its $5.5 million seed funding round. This initial funding will accelerate the development and deployment of its solutions for the logistics and warehousing industry.

The seed round was supported by a multitude of investors, including 1Sharpe, GTMFund, 9Yards, Chingona Ventures, and the Bond Fund. LuminX addresses critical inefficiencies in supply chain and warehouse management that lead to significant operational costs and errors. The company is at the forefront of solving these issues by developing and deploying its Vision Language Models (VLMs) directly onto low-cost mobile hardware within the warehouse – an approach that makes advanced AI accessible and practical for a wider range of operations.

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

LuminX systems uniquely integrate sophisticated visual understanding with powerful generative AI capabilities, enabling its cameras to ‘see’ and interpret complex, dynamic warehouse environments in real-time—recognizing products, varied labels, assessing package conditions, and tracking movement. These versatile devices can be deployed anywhere in the warehouse, including docks, conveyors, on forklifts, or as handheld units. LuminX’s system intelligently processes this visual information to automate intricate operational tasks, eliminate manual work, and provide actionable data for drastically reducing discrepancies and optimizing overall workflow.

LuminX is led by founder and CEO Alex Kaveh Senemar, a seasoned entrepreneur with a proven track record of building and scaling successful AI companies across several industries. He previously founded and led Voxel (voxelai.com), a pioneering AI company in warehouse safety and operations, and prior to that, founded Sherbit, which was successfully acquired by Huma (huma.com) in 2019. He is joined by co-founder & CTO Reza (Mamrez) Javanmardi, Ph.D. in Computer Science and former Head of AI Research at Voxel, whose career spans impactful R&D in machine learning and computer vision across startups and research institutions.

The LuminX team brings a wealth of knowledge and deep expertise in AI, specifically in Vision Language Models, computer vision, and robotics, with many members having ties to leading research institutions like Carnegie Mellon University. The team’s established track record and vision have garnered strong support. Significant participation in the funding round also came from previous investors in Voxel and customers, underscoring deep confidence in LuminX’s advanced technological approach.

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

“This pivotal funding allows us to scale our next-generation AI models, transforming how warehouses operate,” said Alex Kaveh Senemar. “Our edge based vision language models represent a massive step forward, acting as an intelligent core for warehouse operations. They deliver new levels of automation and insight, helping to turn previously opaque processes into transparent highly efficient systems.”

LuminX is experiencing strong early traction, with many warehouses using the technology. One such early adopter is Vertical Cold Storage.Robert Bascom, COO of Vertical Cold Storage, commented on their experience: “LuminX’s technology is set to revolutionize our warehouse productivity and operations. It’s allowing us to automate critical tasks, significantly enhance quality, and reduce claims.” He added, “In my entire career, I have yet to encounter a product that so effectively improves efficiency while simultaneously boosting quality and reliability.”

Kat Collins of 1Sharpe Capital, a key investor, echoed this sentiment, stating, “Edge-deployed vision-language models are breaking the two toughest bottlenecks in logistics—labor scarcity and data blindness. By turning a low-cost camera into a perceptive co-worker that sees, understands, and acts in real time, LuminX is unlocking a step-change in operational intelligence and efficiency for every pallet, conveyer, and forklift.”

The newly acquired funds will be strategically invested in advancing LuminX’s core research and development in Vision Language Models for logistics, further optimizing them for edge deployment, expanding its specialized engineering talent, and scaling go-to-market activities.  

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Everise Launches Strategic Partnership with Krisp, Driving AI-Powered CX Across Global Workforce

Everise, a leading customer experience (CX) solutions provider, unveiled a strategic partnership with Krisp, deploying its industry-leading real-time voice AI platform across Everise’s global agent workforce. This combines Everise’s award-winning people team, deep client expertise and operational excellence, with Krisp’s real-time AI technology.

The partnership reinforces Everise and Krisp’s shared vision for a future where human agents are superpowered by AI, delivering customer experiences that are faster, clearer, and more empathetic than ever before – also marking a major step forward in Everise’s journey to redefine customer support, enhancing productivity, clarity, and support quality, at scale.

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

Krisp’s advanced AI technology, including accent neutralization and noise cancellation, has been rolled out globally on 10,000 Everise seats, and will be deployed across the board in the next few months. The unified, real-time solution will enable Everise champion agents to resolve issues faster, bridge language and accent barriers with ease, and deliver more impactful, effective customer interactions. Additional features such as speech interpretation and Agent Assist are planned for a phased rollout at a later stage as part of the roadmap.

“At Everise, we believe the future of CX lies with empowering people with the right technology,” said Sudhir Agarwal, Founder & CEO of Everise. “We are proud to partner with Krisp to further our shared vision of amplifying the human touch with real-time AI. Together, we’re helping enterprises meaningfully elevate every customer experience. This is innovation with impact – and it’s the future of CX.”

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“Everise is setting the bar for what modern CX looks like,” said Davit Baghdasaryan, CEO and Co-Founder at Krisp. “By rolling out the full Krisp AI platform across their agent fleet, they’re investing in the future: one where every voice interaction is faster, clearer, and more intelligent. We’re proud to partner with a company that shares our belief in real-time AI for real human impact.”

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Tecsys Launches Tecsysiq to Unlock Ai-Powered Insights in Healthcare Supply Chain

Tecsys-logo-red

Embedded Databricks capabilities accelerate healthcare supply chain analytics and AI workloads.

Tecsys Inc. , a global leader in supply chain management solutions, announced the launch of TecsysIQ™, a cloud-native intelligence layer that helps healthcare organizations unify fragmented data and deliver AI-powered insights across clinical, operational and financial systems. Built on the Databricks Data Intelligence Platform, TecsysIQ delivers a modern analytics foundation that accelerates the development of AI-enabled applications and data-driven decision-making that improve patient care and strengthen health system performance.

By nature, healthcare supply chains span multiple systems and stakeholders. This complexity can make it difficult to access the right information at the right time. With its integrated data intelligence and advanced analytics, TecsysIQ enables health systems to bring together data from across EHRs, ERPs, inventory systems, procurement platforms and trusted third-party sources into a single, governed environment for better forecasting, planning and response.

“Healthcare supply chains have long struggled with data trapped in silos and outdated systems,” said Rex Ahlstrom, chief strategy officer at Tecsys. “TecsysIQ closes that gap by delivering timely, contextual insights into the hands of supply chain, clinical and finance leaders so they can make decisions that improve both operational and patient outcomes. By combining Databricks’ world-class data engineering capabilities with Tecsys’ domain leadership in healthcare, we’re enabling a powerful new layer of intelligence for health systems.”

TecsysIQ fully supports federated lakehouse architectures for discovery, querying, and governance of distributed data, as well as simplified sharing for use in external data and business intelligence reporting platforms. With Delta Sharing, TecsysIQ is able to share live data across platforms, clouds and regions with strong security and governance. Leveraging AWS Bedrock, TecsysIQ provides secure access to foundational large language models for generative AI use cases within a governed architecture.

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

With embedded machine learning and predictive intelligence, TecsysIQ enables healthcare organizations to:

  • Improve clinical service levels by anticipating demand shifts and material constraints
  • Automate data harmonization across siloed systems and departments
  • Incorporate trusted third-party data inputs to enhance forecasting and planning
  • Accelerate response time to disruptions, recalls and public health events
  • Reduce reliance on manual workarounds and spreadsheets
  • Optimize resource utilization while maintaining compliance and patient safety

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“Healthcare supply chains generate massive amounts of data, but turning that data into true data intelligence requires the right architecture,” said Mike Sanky, VP of Healthcare and Life Sciences GTM at Databricks. “Traditional reporting methods can’t keep up with the complexity and speed required by healthcare supply chains. By partnering with Tecsys, we’re empowering health systems to harness the full potential of their data through a unified analytics and AI platform. This enables smarter, faster decision-making — precisely when it matters most to deliver exceptional performance.”

“TecsysIQ reflects our vision for the future of healthcare supply chain decision-making,” said Peter Brereton, president and CEO of Tecsys. “It’s not just about reporting on what happened — it’s about delivering the operational intelligence needed to act with precision in the moment.”

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Algolia Redefines Online Fashion Retail with the Next Generation of Its Intelligent Fashion Solution

Algolia Logo

Purpose-built AI innovations deliver deeply personal, stylishly curated shopping experiences for modern fashion consumers

Algolia, the AI-native search and discovery platform used by over 18,000 businesses, unveiled a significant evolution of its Intelligent Fashion Solution, bringing bold, fashion-first innovation to every layer of the online retail experience. The latest innovative features—Real-Time Personalization, AI Ranking, Smart Groups, Collections, and Generative AI Shopping Guides—are designed to reflect how people shop for fashion: with intent, emotion, and individuality.

These capabilities, powered by Algolia’s deep expertise in AI search and leading proprietary Large Language Models (LLMs), help fashion brands create beautifully intuitive journeys that mirror the artistry of the products they sell.

Bernadette Nixon, Chief Executive Officer, Algolia noted: “In fashion, every click should feel like a curated experience. These innovations aren’t just smart—they’re designed to elevate the feeling of shopping for fashion online, from the first search to the final purchase.”

Algolia brings real-time AI stylists to fashion retail.

Algolia is redefining the future of digital fashion with a new AI agent experience that brings real-time personalization to life. Integrated with platforms like Adobe Experience Manager and Salesforce Commerce Cloud, Algolia enables fashion retailers to deploy AI agents that understand shopper intent, access live product availability, and deliver curated, on-brand experiences in milliseconds.

Nixon added: “Imagine a digital stylist that instantly pulls looks based on a shopper’s preferences, past purchases, and real-time inventory—no more outdated recommendations or dead-end searches. By acting as the connective intelligence layer between customer data and front-end AI agents, Algolia empowers brands to create shopping experiences that feel as tailored and responsive as an in-store stylist. For fashion retailers looking to stay ahead, this isn’t future tech—it’s what’s possible now.”

Real-Time Personalization: Every style journey starts somewhere. We make sure it starts with the fashion shopper.

Fashion is personal—even on a first visit. Algolia’s Real-Time Personalization will instantly read a shopper’s style intent and dynamically adjust product recommendations and search results to match. Whether a consumer is browsing for bold streetwear or timeless minimalism, the experience evolves in real time—turning inspiration into engagement and casual interest into confident purchase decisions.

AI Ranking: Not just what’s popular—what’s perfect for your customer.

Fashion isn’t one-size-fits-all, and neither is search. Algolia’s AI Ranking allows retailers to prioritize what matters most: style relevance, current trends, and brand vision. By analyzing over 20 fashion-focused signals—from user behavior to seasonal timing—search results are continuously re-ranked to highlight the right look, at the right time, for the right customer. Algolia’s AI Ranking comprises three powerful capabilities:

  • Advanced Dynamic Re-Ranking keeps collections fresh and desirable, updating results every hour to reflect what’s trending.
  • Multi-Signal Ranking balances fashion relevance with business goals—whether that’s showcasing high-margin items or driving discovery of new designers.
  • Revenue-Based Ranking gives merchandisers complete control to align product visibility with strategic fashion campaigns.

Collections: Curated fashion stories that inspire, not overwhelm.

Collections are more than categories—they’re digital lookbooks. Algolia’s Collections organize vast product inventories into themed, editorial-style groupings like “Vacation Ready,” “Back-to-Work Essentials,” or “Evening Luxe.” The result: a shopping experience that feels styled, not searched. For fashion shoppers, it’s effortless. For brands, it’s a scalable way to express identity through storytelling.

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

Generative AI Shopping Guides: From inspiration to outfit—guided by style, powered by AI.

Algolia’s Generative AI Shopping Guides act like the perfect in-store stylist—asking the right questions, understanding needs, and suggesting complete, trend-conscious looks. Whether someone’s shopping for a winter wedding or building a summer capsule wardrobe, the guide offers smart, conversational advice that builds trust, speeds decision-making, and celebrates personal style.

With detailed guidance on fit, fabric, occasion, and pairing, Algolia’s Shopping Guides can reduce returns and create more satisfied, fashion-forward shoppers—especially on mobile, where inspiration often strikes first.

Smart Groups: Fashion merchandising, elevated. No dev team required.

Algolia’s Smart Groups put the power of product curation into the hands of fashion merchandisers. With an intuitive dashboard and AI-driven logic, fashion teams can create dynamic displays of products—tailored by style, color palette, or campaign theme—without needing to manually pin every item. From launching new collections to responding to microtrends, Smart Groups make fashion merchandising agile, strategic, and beautifully simple.

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Retail Media: The future of monetized retail merchandising.

Looking ahead, Algolia will empower retailers to monetize prime positions within their product grids as valuable Retail Media spaces. As the market for Retail Media continues to expand, it is projected to account for nearly a quarter of all US media investment by 2028, according to Statista. By leveraging Smart Groups, retailers have the ability to honor brand agreements in which, for instance, they can ensure competing products do not appear together or must be in a specified position in search results, thus offering brands enhanced visibility and strategic placement opportunities.

Trusted by fashion’s elite.

Algolia’s Intelligent Fashion Solution is already driving performance for some of the world’s most iconic fashion brands, powering experiences that are as refined and inspiring as the products they sell. Retailers report up to 30% higher conversions and 25% increases in shopper engagement.

Nixon said: “Algolia is proud to power the digital experiences of 75% of the world’s top fashion houses, including several well-known, iconic brands. These brand leaders trust us to deliver the speed, style, and sophistication their customers expect, and we’re honored to help them set the standard for what modern fashion eCommerce should be—where technology meets taste, and search becomes style.”

Algolia attends Shoptalk Europe 2025 (Barcelona).

Algolia will be present at Shoptalk 2025 in Barcelona (June 2-4) at booth C130. Visitors to Algolia’s booth can enjoy demos of the Intelligent Fashion Solution, Algolia’s GenAI Shopping Guides, and many other exciting products, as well as theater presentations to experience the power of Algolia firsthand.

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Lenovo and Bellevue University Team Up to Offer Supply Chain and Logistics Education to Deliver “Smarter Technology for All”

Learners will have access to Lenovo’s globally recognized supply chain expertise through real-world case studies and subject matter experts.

Lenovo, the global technology powerhouse, recognized in the top 10 in the Gartner Supply Chain Top 25, and Bellevue University, one of the nation’s top online universities, are teaming up to develop the next generation of supply chain professionals.

“We believe that bringing real-world Global Supply Chain experience and learning directly into an education curriculum is precisely the optimal way to upskill the workforce of the future,” said Ben Massie, Vice President, Global Supply Chain, Lenovo. “Teaming up with Bellevue allows us to attract the right talent using the right technology and deliver on our mission to make ‘smarter technology for all’ a reality.”

As a preferred higher education institution tapped to team up with Lenovo to offer supply chain short-term learning, Bellevue will leverage the breadth and depth of Lenovo’s supply chain expertise across its diverse learner and corporate partner network.

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

Massie continued, “With a network of over 30 manufacturing sites across nine markets, Lenovo’s supply chain is one of our core strengths. By bringing our real-life case studies and insights into the curriculum, we aim to equip students with the skills to succeed in the complex and dynamic working environment. Partnering with Bellevue University, which has a strong track record of working with organizations, allows us to share our knowledge and together build the supply chain experts of the future.”

According to a 2024 McKinsey & Company report, a shortage of talent, particularly digital talent, continues to hinder companies’ supply chain transformation efforts. Ninety percent of companies surveyed in the report said they lack sufficient talent to meet digitization goals.

Now, individuals who enroll in the Supply Chain Operations & Project Management Certificate of Completion can gain sought-after skills through two three-credit hour courses – Management of Supply Chain Operations and Advanced Lean Six Sigma Green Belt. The master’s-level courses can be taken concurrently, allowing learners to complete the certificate of completion in under eight months.

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“With a deep focus on employee growth planning, we’re uniquely qualified to help adult learners and the employers we partner with upskill or reskill their supply chain workforce,” said Dr. Rich Lombardo, Executive Director of Bellevue University’s Workforce Skills Academy. “Working together, we can ensure that the next generation has the skills and knowledge needed to deal with the complexities that are ever-present in global supply chains.”

Lenovo’s global supply chain leadership provides a singular resource for students and professionals to understand how diversifying manufacturing operations and supply chain resources helps companies thrive during unpredictable periods—a proven, real-world arena for students to apply their education. Lenovo also deploys original AI solutions across its own operations, prioritizes sustainability, and pioneers essential, end-to-end cybersecurity offerings.

Dr. Lombardo added that those who complete the Bellevue-Lenovo program will receive two digital badges, a certificate of completion, and six graduate-level credit hours transferable to a master’s degree.

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

SalesTechStar’s Sales Technology Highlights of The Week: Featuring Outreach.io, Steerco, WorkSpan and More!

Catch the latest trends in B2B Sales along with snippets on the newest SalesTech innovations impacting sales cycles from this SalesTechStar highlights:

__________

SalesTech Quote-of-the-Week!

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

Don Cooper, Vice President of Global Alliances at Aras

Top SalesTech News of the Week: 26th May to 30th May 2025

SalesTech Interview-of-the-Week!

Read More

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

Hayden Stafford, President & Chief Revenue Officer at Seismic

Top Sales and SalesTech Articles on Customer Retention, Voice Search for Sales, Evolution of B2B Sales and more!

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