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Leading Brands Use Coveo AI to Transform their Ecommerce Product Discovery and Accelerate Revenue Growth

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Caleres, FleetPride, and Freedom Furniture Leverage Coveo AI-Search to Personalize Product Discovery and Boost Conversions

MONTREAL, LONDON and NEW YORK, May 22, 2025 /CNW/ – Coveo, the leader in AI-Relevance, delivering best-in-class AI-search and generative experiences that maximize business outcomes at every point-of-experience, today announced that leading business-to-consumer and business-to-business brands Caleres, FleetPride, and Freedom Furniture are leveraging its AI-RelevanceTM platform to transform online experiences, boost conversions, and unlock new growth opportunities. By delivering relevant, personalized interactions across the entire customer journey, Coveo empowers businesses to delight consumers and drive significant revenue gains.

The Coveo 2025 Commerce Relevance report, a survey of 4,000 adults across the US and UK, found that 77% of shoppers research online before buying, even if they buy in-store, and 43% of those surveyed said if they have a goal in mind they head to the search bar. This represents a huge opportunity for companies to win big or lose big as, if search falls short, the report found that 72% of shoppers will leave, with 36% going straight to a competitor. Coveo equips companies with AI-search to enhance engagement through intelligent, tailored experiences that reduce friction and deepen loyalty.  

“Too often, online experiences are frustrating and unproductive for customers. In today’s digital landscape, businesses win or lose based on the precision, speed, and intelligence of their online experience,” said Peter Curran, GM of Commerce at Coveo. “Coveo is proud to partner with leading brands who are transforming their digital experiences with AI-search to deliver the relevance and personalization that their customers demand – and who have the impressive business metrics to prove that these efforts drive significant revenue growth.”

Caleres Steps into the Future of Ecommerce with Advanced Search and Discovery

Caleres is one of the most successful shoe retailers you’ve never heard of. The multi-billion St. Louis-based parent of Famous Footwear, Sam Edelman, Dr-Scholls, Vince and Veronica Beard traces its history to pre-Civil War, navigating more than 140 years of business by staying one step ahead of an ever-changing industry.

An early adopter of the web, Caleres witnessed the trends and growth of ecommerce take shape. A few years ago they identified that their search and discovery technology was not optimized to handle a complex catalog of more than 600,000 SKUs organized by color, size, width, and store availability. They were unable to adjust, test, or access data regarding on-site search, product listing pages, and product recommendations. Finally, they relied on thousands of manual rules that were time-consuming and difficult for merchandisers to maintain. For the evolution of their next generation ecommerce experience, they chose Coveo’s AI platform to power their search and experience layer.

Reported results with Coveo over measured period:

21% increase in revenue YoY25% increase in conversion rate

FleetPride Accelerates Customer Service and Drives Revenue with Enhanced Digital Presence and Data-Driven Insights

In trucking, downtime is a liability costing thousands of dollars a day. Founded in 1999, FleetPride is North America’s largest distributor of truck and trailer parts and service in the independent heavy duty aftermarket. FleetPride’s 4000 experts across 300+ locations, 85+ service centers, and five distribution centers help customers find the products they need — as quickly as possible.

But FleetPride needed to catch up with its digital presence. Its website was failing to serve its customers, who needed an exact part number to order an item online. FleetPride’s siloed system of tracking inventory offline and online meant that customers often had limited visibility into stock availability or price. Adding to the problem, FleetPride’s website included a sprawling inventory of over one million parts and accessories. With Coveo’s artificial intelligence technology solutions and a better understanding of their customers, FleetPride was able to boost customer engagement, deflect customer cases, and create more sales opportunities through customized shopper experiences.

Reported results with Coveo over measured period:

7% increase in revenue per visit for sessions9.6% increase in conversion rate27% increase in search engagement

Freedom Furniture Reimagines Retail with Intelligent Search and Product Discovery

Freedom Furniture has long been a trusted name in Australian and New Zealand homes, offering stylish, personalized pieces that cater to every taste and lifestyle. With over 60 stores and more than 40 years of excellence, the company has earned its reputation as a leader in furniture and homewares.

Today, Freedom is rewriting the rules of retail with a bold digital transformation. By revamping its ecommerce platform, integrating a dropshipping model, and adopting AI-driven search and product discovery, the company has redefined both its in-store and online shopping experiences. These changes combined with innovative omnichannel strategies, ensure Freedom is delivering a customer-centered experience, offering an endless aisle of possibilities and limitless choice.

Reported results with Coveo in the first 30 days:

5.5% uplift in average order value (AOV)15% increase in customer sessions with search50% decrease in merchandising effort

By providing customers with the right information at the right time, Coveo empowers businesses to create exceptional online experiences that drive customer satisfaction, foster long-term loyalty, and directly impact the bottom line.

Discover Coveo AI CX solution at www.coveo.com

About Coveo
Coveo brings superior AI-Relevance to every point-of-experience, transforming how enterprises connect with their customers and employees to maximize business outcomes.

Relevance is about moving from persona to person, the degree to which the enterprise-wide content, products, recommendations, and advice presented to a person online aligns easily with their context, needs, preferences, behavior and intent, setting the competitive experience gold standard. Every person’s journey is unique, and only AI can solve the complexity of tailoring experiences across massive, diverse audiences and large volumes and variety of content and products.

Our Coveo AI-Relevance™ Platform enables enterprises to deliver hyper-personalization at every point-of-experience, unifying all their data securely, with the highest level of contextual and prescriptive accuracy while simultaneously optimizing business outcomes.

Coveo brings AI-Relevance to the digital experiences of many of the world’s premier and most innovative brands, serving millions of people across billions of interactions.

What we believe is bold: Digital is everywhere, Relevance is not. It’s the only way to win in the digital age.

The Coveo AI-Relevance Platform is ISO 27001 and ISO 27018 certified, SOC2 compliant, HIPAA compatible, with a 99.999% SLA available. We are a Salesforce ISV Partner, an SAP EndorsedⓇ App, AWS ISV Accelerate Program member, an Adobe Gold Partner, MACH Alliance member, Optimizely Partner, Shopify Partner, and a Genesys AppFoundryⓇ ISV Partner.Coveo is a trademark of Coveo Solutions Inc.

Stay up to date on the latest Coveo news and content by subscribing to the Coveo blog, and following Coveo on LinkedIn and YouTube.

Forward-Looking Information

This press release contains “forward-looking information” and “forward-looking statements” within the meaning of applicable securities laws (collectively, “forward-looking information”). This forward-looking information is identified by the use of terms and phrases such as “may”, “would”, “should”, “could”, “might”, “will”, “achieve”, “occur”, “expect”, “intend”, “estimate”, “anticipate”, “plan”, “foresee”, “believe”, “continue”, “target”, “opportunity”, “strategy”, “scheduled”, “outlook”, “forecast”, “projection”, or “prospect”, the negative of these terms and similar terminology, including references to assumptions, although not all forward-looking information contains these terms and phrases. In addition, any statements that refer to expectations, intentions, projections, or other characterizations of future events or circumstances contain forward-looking information. Statements containing forward-looking information are not historical facts but instead represent management’s expectations, estimates, and projections regarding future events or circumstances.

Case Studies Data

Reported metrics estimates in customer stories were formulated after A/B testing and reflect the estimated benefits to the selected customers based on feedback received from such customers and data reported by them for periods selected. These estimates are limited by the scaling factors of extrapolating these results from the specific project scope of each deployment across the customer’s business and/or project. Time periods used to formulate the estimates may vary between customers and depend on each customer’s own situation, use case and deployment. The definitions of the performance indicators used herein, and how they are calculated and reported, may also vary between customers, and therefore, actual and reported results achieved by customers may vary between customers.

View original content to download multimedia:https://www.prnewswire.com/news-releases/leading-brands-use-coveo-ai-to-transform-their-ecommerce-product-discovery-and-accelerate-revenue-growth-302462537.html

SOURCE Coveo Solutions Inc.

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Chef Robotics Physical AI Models Can Now Automate Baked Goods Packing

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SAN FRANCISCO, April 29, 2026 /PRNewswire/ — Chef Robotics, a leader in physical AI for the food industry, today announced that Chef robots can now automate tray assembly for baked goods packing. The application places baked products, such as burger buns, chocolate chip cookies, biscotti, butter cookies, biscuits, fortune cookies, granola bars, rusks, and shortbreads into trays and packaging containers before sealing.

Watch Chef robots in action.

Baked goods packing has historically been difficult to automate for high-mix production. Each item behaves differently on the production line—a granola bar compresses under the wrong grip, while a biscotti or rusk can crack if placed at the wrong angle. Surface textures range from glazed and smooth to crumbly and irregular, and strict presentation requirements leave little room for error. This variability has made it challenging for automation systems to reliably handle baked goods at production speeds, leaving food manufacturers dependent on manual labor and traditional bakery equipment.

To address this, Chef built its baked goods packing application on its existing piece-picking capability, which uses Chef’s AI-powered computer vision and physical AI models trained across diverse real-world production environments. This allows Chef robots to assess each item’s position, shape, and orientation in real time and determine how to pick the items from the pan and place them quickly and precisely without damaging them.

The baked goods packing application supports four distinct placement capabilities.

First, Chef’s vision system detects the angle at which each item sits in the pan and reorients it after picking, placing it on the tray at the exact angle required, regardless of its original position, enabling retail-ready presentation for SKUs that require precise angular placement.

Second, Chef robots can place multiple baked goods into the same packaging container in a single automated pass, completing full tray assembly without manual intervention.

Third, for packaging containers with multiple small compartments, Chef robots can precisely place items into each designated section, including multiple items in the same compartment, using Chef’s AI vision model to detect compartment positions and orientations in real time.

Fourth, Chef’s vision system identifies the exact center of each tray and places every item at a predefined offset from that center, ensuring a uniform, consistent arrangement across every pack regardless of how trays arrive on the conveyor.

For food manufacturers evaluating bakery systems and baked goods packaging automation, the application offers higher throughput, reduced labor dependency, and consistent presentation across shifts. The capability runs on Chef’s existing robotic hardware and software, allowing manufacturers to deploy it without requiring any changes to their production lines.

Chef’s baked goods packing application is available in the U.S., Canada, Germany, and the UK and is included as part of Chef’s robotics-as-a-service (RaaS) pricing model.

About Chef Robotics
Chef is the first company to have commercialized a scalable AI-driven food robotics solution. With over 104 million servings made in production, Chef leverages ChefOS, an AI platform for food manipulation, to offer a Robotics-as-a-Service solution that helps industry-leading food companies increase production volume and meet demand. Headquartered in San Francisco, CA, Chef aims to empower humans to do what humans do best by accelerating the advent of intelligent machines. Visit https://chefrobotics.ai to learn more.

View original content:https://www.prnewswire.com/news-releases/chef-robotics-physical-ai-models-can-now-automate-baked-goods-packing-302756923.html

SOURCE Chef Robotics

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Chef Robotics Physical AI Models Can Now Automate Baked Goods Packing

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on

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SAN FRANCISCO, April 29, 2026 /PRNewswire/ — Chef Robotics, a leader in physical AI for the food industry, today announced that Chef robots can now automate tray assembly for baked goods packing. The application places baked products, such as burger buns, chocolate chip cookies, biscotti, butter cookies, biscuits, fortune cookies, granola bars, rusks, and shortbreads into trays and packaging containers before sealing.

Watch Chef robots in action.

Baked goods packing has historically been difficult to automate for high-mix production. Each item behaves differently on the production line—a granola bar compresses under the wrong grip, while a biscotti or rusk can crack if placed at the wrong angle. Surface textures range from glazed and smooth to crumbly and irregular, and strict presentation requirements leave little room for error. This variability has made it challenging for automation systems to reliably handle baked goods at production speeds, leaving food manufacturers dependent on manual labor and traditional bakery equipment.

To address this, Chef built its baked goods packing application on its existing piece-picking capability, which uses Chef’s AI-powered computer vision and physical AI models trained across diverse real-world production environments. This allows Chef robots to assess each item’s position, shape, and orientation in real time and determine how to pick the items from the pan and place them quickly and precisely without damaging them.

The baked goods packing application supports four distinct placement capabilities.

First, Chef’s vision system detects the angle at which each item sits in the pan and reorients it after picking, placing it on the tray at the exact angle required, regardless of its original position, enabling retail-ready presentation for SKUs that require precise angular placement.

Second, Chef robots can place multiple baked goods into the same packaging container in a single automated pass, completing full tray assembly without manual intervention.

Third, for packaging containers with multiple small compartments, Chef robots can precisely place items into each designated section, including multiple items in the same compartment, using Chef’s AI vision model to detect compartment positions and orientations in real time.

Fourth, Chef’s vision system identifies the exact center of each tray and places every item at a predefined offset from that center, ensuring a uniform, consistent arrangement across every pack regardless of how trays arrive on the conveyor.

For food manufacturers evaluating bakery systems and baked goods packaging automation, the application offers higher throughput, reduced labor dependency, and consistent presentation across shifts. The capability runs on Chef’s existing robotic hardware and software, allowing manufacturers to deploy it without requiring any changes to their production lines.

Chef’s baked goods packing application is available in the U.S., Canada, Germany, and the UK and is included as part of Chef’s robotics-as-a-service (RaaS) pricing model.

About Chef Robotics
Chef is the first company to have commercialized a scalable AI-driven food robotics solution. With over 104 million servings made in production, Chef leverages ChefOS, an AI platform for food manipulation, to offer a Robotics-as-a-Service solution that helps industry-leading food companies increase production volume and meet demand. Headquartered in San Francisco, CA, Chef aims to empower humans to do what humans do best by accelerating the advent of intelligent machines. Visit https://chefrobotics.ai to learn more.

View original content:https://www.prnewswire.com/news-releases/chef-robotics-physical-ai-models-can-now-automate-baked-goods-packing-302756923.html

SOURCE Chef Robotics

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Air Products to Expand Industrial Gas Supply for Samsung Electronics’ Next-Generation Semiconductor Fab in South Korea

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New investment underscores the company’s long-term commitment to Korea and its leading role in the global semiconductor industry 

LEHIGH VALLEY, Pa., April 29, 2026 /PRNewswire/ — Air Products (NYSE:APD), a world-leading industrial gases company and serving Samsung globally, today announced it has been selected by Samsung to supply industrial gases for its new advanced semiconductor fab in Pyeongtaek, Gyeonggi Province, South Korea.

Under the agreement, Air Products will build, own and operate multiple state-of-the-art production facilities and a bulk specialty gas supply system to supply nitrogen, oxygen, argon, and hydrogen for Samsung’s new semiconductor fab. The new facilities are expected to come onstream in multiple phases from 2028 through 2030.

Air Products has a long track record of executing multiple phase expansions in Pyeongtaek to support Samsung’s growing manufacturing needs. This latest project represents Air Products’ largest investment to date in the semiconductor industry and will establish Pyeongtaek as the company’s single largest operations site globally supporting the electronics industry. 

“Air Products is honored to be selected once again by Samsung and to have their continued confidence as a trusted partner supporting their strategic growth plans,” said SR Kim, President, Air Products Korea. “This significant investment reinforces Air Products’ role as a leading global supplier to the semiconductor industry and underscores our long-standing commitment to supporting our strategic customers with safety, reliability, efficiency and excellent service.”

Air Products has served the global electronics industry for more than 40 years, supplying industrial gases safely and reliably to many of the world’s leading technology companies. The company has operated in Korea for more than 50 years and has established a strong position in electronics and manufacturing sectors.

About Air Products

Air Products (NYSE: APD) is a world-leading industrial gases company in operation for over 85 years focused on serving energy, environmental, and emerging markets and generating a cleaner future. The Company supplies essential industrial gases, related equipment and applications expertise to customers in dozens of industries, including refining, chemicals, metals, electronics, manufacturing, medical and food. As the leading global supplier of hydrogen, Air Products also develops, engineers, builds, owns and operates some of the world’s largest clean hydrogen projects, supporting the transition to low- and zero-carbon energy in the industrial and heavy-duty transportation sectors. Through its sale of equipment businesses, the Company also provides turbomachinery, membrane systems and cryogenic containers globally.

Air Products had fiscal 2025 sales of $12 billion from operations in approximately 50 countries. For more information, visit airproducts.com or follow us on LinkedInXFacebook or Instagram.

This release contains “forward-looking statements” within the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. These forward-looking statements are based on management’s expectations and assumptions as of the date of this release and are not guarantees of future performance. While forward-looking statements are made in good faith and based on assumptions, expectations and projections that management believes are reasonable based on currently available information, actual performance and financial results may differ materially from projections and estimates expressed in the forward-looking statements because of many factors, including the risk factors described in our Annual Report on Form 10-K for the fiscal year ended September 30, 2025 and other factors disclosed in our filings with the Securities and Exchange Commission. Except as required by law, we disclaim any obligation or undertaking to update or revise any forward-looking statements contained herein to reflect any change in the assumptions, beliefs or expectations or any change in events, conditions or circumstances upon which any such forward-looking statements are based.

View original content to download multimedia:https://www.prnewswire.com/news-releases/air-products-to-expand-industrial-gas-supply-for-samsung-electronics-next-generation-semiconductor-fab-in-south-korea-302757497.html

SOURCE Air Products

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