Award highlights the top software and technology solutions in the supply chain space
Everstream Analytics, the global supply chain predictive insights and risk analytics company, is recognized today as a winner of this year’s Top Software & Tech award by Food Logistics and Supply & Demand Chain Executive for its Uyghur Forced Labor Prevention Act (UFLPA) forced labor visibility solution.
Uncovering and eliminating forced labor within the supply chain is a global imperative and major focus for Everstream, who has been recognized as the world’s first Slave-Free Alliance-validated modern slavery and forced labor technology provider. UFLPA is a law that prevents goods made with forced labor in the Xinjiang Uyghur Autonomous Region of China from entering the U.S. market. Combining AI predictions, historical supplier analysis, and frequently updated UFLPA Supplier Watch List with expert human analysis, Everstream’s UFLPA Risk solution dynamically monitors, assesses and predicts supplier forced labor risks within complex, sub-tier supplier networks.
“The ongoing use of forced labor within the global supply chain is unacceptable,” said Julie Gerdeman, CEO of Everstream Analytics. “While governments address the issue with legislation, businesses must do their part. This is not an easy task, as forced labor is often hidden deep within the multi-tiered supply chain. However, increased supply chain visibility and awareness are a path towards resolution, and Everstream is committed to making supply chains more responsible and sustainable.”
The 2023 Top Software & Tech Award had two main categories, Small Business (<$50 million) and Enterprise (> $49 million), and five subcategories: Procurement/ERP Software, WMS/TMS Software, Warehouse Automation, Robotics, and Supply Chain Visibility Solutions. Supply Chain Visibility Solutions was the most popular category, accounting for 58% of submissions.
“From robotics and warehouse automation to procurement and ERP software, WMS, TMS and supply chain visibility solutions, the supply chain software and technology sector continues to boom,” said Marina Mayer, Editor-in-Chief of Food Logistics and Supply & Demand Chain Executive. “These solutions (and many more) are designed to streamline, optimize and innovate the supply chain and logistics space, and do so by incorporating emerging technologies and a path to efficiency.”
The full list of 2023 Top Software & Tech winners can be found here.
About Everstream
Everstream Analytics sets the global supply chain standard. Through the application of artificial intelligence and predictive analytics to its vast proprietary dataset, Everstream delivers the predictive insights and risk analytics businesses need for a smarter, more autonomous and sustainable supply chain. Everstream’s proven solution integrates with procurement, logistics and business continuity platforms generating the complete information, sharper analysis, and accurate predictions required to turn the supply chain into a business asset. To learn more, visit https://www.everstream.ai/.
About Food Logistics and Supply & Demand Chain Executive
Food Logistics reaches more than 26,000 supply chain executives in the global food and beverage industries, including executives in the food sector (growers, producers, manufacturers, wholesalers and grocers) and the logistics section (transportation, warehousing, distribution, software and technology) who share a mutual interest in the operations and business aspects of the global cold food supply chain. Supply & Demand Chain Executive is the only supply chain publication covering the entire global supply chain, focusing on trucking, warehousing, packaging, procurement, risk management, professional development and more. Food Logistics and Supply & Demand Chain Executive also operate SCN Summit and Women in Supply Chain Forum. Go to www.FoodLogistics.com and www.SDCExec.com to learn more.
View source version on businesswire.com: https://www.businesswire.com/news/home/20231206624529/en/
Contacts
Rebecca Reese
fama PR for Everstream
everstream@famapr.com