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Constructor Named a Visionary in the First-Ever Gartner Magic Quadrant for Search and Product Discovery

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Report notes that search and product discovery “helps organizations meet the demands of today’s B2B and B2C buyers”

SAN FRANCISCO, May 28, 2024 /PRNewswire/ — Constructor, the leading AI-powered product discovery and search platform for enterprise ecommerce companies, today announced it has been named a Visionary in the Gartner® Magic Quadrant™ for Search and Product Discovery.1 According to the report, search and product discovery (S&PD) “helps organizations meet the demands of today’s B2B and B2C buyers.”

Constructor’s award-winning technology delivers personalized, cohesive experiences across the buyer journey — enabling ecommerce companies to increase revenue and conversions, and execute on other metrics that matter.

Gartner defines search and product discovery as “applications that augment digital commerce solutions to facilitate navigation, filtering, comparisons and ultimately selection of products” — noting that “buyers of S&PD products are looking to use these platforms to deliver and support a unique, compelling and consistent CX [customer experience] across many channels.” According to the report, “Demand for differentiating S&PD continues to grow, as it is often seen as a relatively cost-effective way to provide optimal experiences in the path to purchase — without fully replacing an incumbent digital commerce or DXP [digital experience platform].” Gartner also explains that, when it comes to S&PD, “‘headless’ options — that is, decoupled front ends or architectural approaches that put them on a path to composable commerce — are often preferred.”

Constructor’s headless platform — the only ecommerce product discovery platform built from the ground up using AI, rather than bolting it on after the fact — delivers on the promise of composable architectures, adding more business value fast. A founding member of the MACH Alliance, which advocates for open, best-of-breed technology ecosystems, Constructor helps B2B and B2C ecommerce companies — including Sephora, Petco, Birkenstock, Very Group and Fisheries Supply — drive personalized, revenue-generating experiences across search results, browse functionality, product recommendations, landing pages, product-finder quizzes, its AI Shopping Assistant (ASA) and more.

As ecommerce companies look to create value-driven S&PD experiences, they often find that surfacing simply relevant results (e.g., shirts when someone searches for “shirts”) no longer cuts it. Gartner explains that “for many years, the key to a site or app search was relevance. However, good relevance has become highly commoditized and is not enough on its own.” Constructor powers highly personalized, highly attractive results (such as displaying shirts in the buyer’s preferred brands, styles, colors, size, price point, etc.) — using clickstream behavioral data and multiple types of AI to accurately gauge and cater to an individual’s intent.

“We’ve long said that in ecommerce, moving beyond relevance is critical. We feel that buyers need experiences that are contextualized to them, and that what we show shoppers shouldn’t just be relevant, but it should be attractive products they actually want to buy. The results we’ve delivered for our customers highlight the power of delivering attractive — not just relevant — experiences,” said Eli Finkelshteyn, CEO, Constructor. “There are lots of exciting advances on the horizon of ecommerce search and product discovery, and we’re excited to help companies harness them.”

Finkelshteyn continued: “We believe our recognition as a Visionary in this Magic Quadrant validates Constructor’s vision for the future, while underscoring the power of our AI.”

Founded in 2015, Constructor is also the youngest company among the vendors evaluated in the report, as per the founding dates. Constructor was named a Visionary in this Magic Quadrant based on its Completeness of Vision and Ability to Execute.

Laser-focused on ecommerce, Constructor has powered more than 100 billion buyer/shopper interactions in the last six months — enabling ecommerce companies to drive hundreds of millions of personalized experiences every day. The company recently received a gold Stevie® Award in the 2024 American Business Awards® (best new “Electronic Commerce Solution” winner for ASA) and was named best “AI Solution” in the Convrt Awards for ecommerce and a finalist in the 2024 CODiE Awards (“Best AI-Driven Technology Solution”). Constructor was also recently ranked highest in the strategy category in “The Forrester Wave™: Commerce Search And Product Discovery, Q3 2023” report.

And with generative AI (GenAI) poised to further transform search and product discovery, Constructor is helping the world’s leading apparel brands, grocers, general retailers, manufacturers, distributors and other ecommerce businesses realize great value today.

The recently unveiled Constructor AI Shopping Assistant (ASA) was mentioned in the Gartner Quick Answer: How GenAI Impacts Digital Commerce Search & Discovery Experience report.2  

ASA combines GenAI with personalization — with customers reporting results including a 10% increase in website revenue, 6% increase in search conversions, 7% increase in clicks and more. In addition, Constructor’s GenAI-powered Attribute Enrichment — which automatically generates and enriches product catalog data — has helped customers achieve 97%+ accuracy in product tagging and labeling.

It behooves ecommerce companies to investigate and implement compelling GenAI use cases such as these. As Gartner notes in the new Magic Quadrant, “By 2026, at least one new GenAI-based conversational UI pattern in S&PD will disrupt traditional search and browse UIs, penetrating at least 5% of the market.”

More information on Constructor is available on Gartner Peer Insights™, which displays customer reviews — with Constructor averaging 4.9 stars out of 5, based on 27 ratings (as of May 16, 2023). View more customer testimonials at: https://constructor.io/customers/.

1 Gartner, Inc., Magic Quadrant for Search and Product Discovery, Mike Lowndes, Aditya Vasudevan, Sandy Shen and Noam Dorros, May 13, 2024.

2 Gartner, Inc., Quick Answer: How GenAI Impacts Digital Commerce Search & Discovery Experience, Aditya Vasudevan and Mike Lowndes, November 30, 2023.

Disclaimer
GARTNER is a registered trademark and service mark of Gartner and Magic Quadrant and Peer Insights are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences with the vendors listed on the platform, should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About Constructor
Constructor is the only product discovery and search platform tailor-made for enterprise ecommerce where conversions matter. Constructor’s cloud-based solutions use natural language processing, machine learning-enhanced results ranking and collaborative personalization to deliver powerful user experiences across all facets of product discovery. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in B2C and B2B ecommerce, such as Sephora, Petco, Birkenstock, Very Group, home24, Bonobos and Fisheries Supply. Constructor is a U.S.-based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick. For more, visit: constructor.io.

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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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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.

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