Information Technology (IT)

Vinasoy Cuts Stock Tender

πŸ“„ Tender ID: 538209712 πŸ“… Published: 30 Sep 2026

πŸ“‹ Tender Overview



Vietnams leading soy milk producer scales automated display monitoring to over 70% of its stores, reducing scoring time from over 20 days to under two, to ensure products are on shelves when consumers need them

HANOI, VIETNAM, SEPTEMBER 29, 2026 - Vinasoy, the No.1 chosen packaged soy milk manufacturer in Vietnam, today announced the successful deployment of a generative artificial intelligence (Gen AI) solution built on Amazon Web Services (AWS). The solution automates retail display monitoring across Vinasoys nationwide distribution network, reducing out-of-stock rates by 20% within two months of deployment. The solution, developed in partnership with Renova Cloud, an AWS Premier Tier Services Partner, has increased monitoring coverage by over four times to over 70% of distribution outlets per month. This has allowed Vinasoy to optimize product placements, improve its brand visibility and accessibility, and manage sales performance across its entire distribution network. Our sales teams used to wait weeks for display compliance data, and by the time they got it, the shelf problem had already cost us. With AWSs Generative AI solutions, they now get answers in days and can act before a gap becomes a lost sale, said Le Ba Be, National Sales Director of Vinasoy. This has freed our people to do what they do best - build relationships with retailers and keep our products within reach of consumers. Were just getting started, and we see this becoming the foundation for how we run our entire supply chain.Transforming Retail VisibilityVinasoy manages its product placement across a retail network spanning 34 provinces, with annual sales of VND 4,800 billion. Prior to deploying Gen AI, staff spent nearly 2,000 workhours per cycle to manually score store product-layout images through the companys Distribution Management System (DMS), covering approximately 17% of Vinasoys outlets per month in total, and could only monitor each store once a month. A full scoring cycle took more than 20 days to process. With no real-time visibility, many retail outlets, and thousands of images to process monthly, a new approach was needed.Working with Renova Cloud, Vinasoy built an end-to-end solution on AWS that combines speed and accuracy across three steps:Capture: Salespeople photograph product displays during store visits and upload them to Vinasoys DMS. Images are processed by Amazon SageMaker leveraging Vinasoys own image recognition technology, allowing it to identify products (for example, 24 different versions of its Vinasoy milk across different packaging and sizes) at 22 images per second, 1,300 times faster than manual inspection.Evaluate: Vinasoys Gen AI solution powered by Amazon Bedrock then scores each stores display against approved product display standards. With Gen AI, the system can reason through imperfectly taken photos or unusual shelf arrangements and still deliver accurate results.Act: Compliance scores reach Vinasoys sales teams within one to two days, up to 20 times faster than before, enabling them to identify and address stock issues and non-compliant displays at scale, and move closer to near-real-time visibility across its retail network.Since deployment, the Gen AI-powered solution has transformed Vinasoys retail execution at scale. Out-of-stock rate across Vinasoys entire retail network dropped by 20% within just two months of implementation. The number of stores monitored has grown to over 70%, and monitoring frequency has increased to once a week from once a month.Expanding GenAI Across the Value ChainThe retail display monitoring solution is part of Vinasoys broader AI transformation strategy. Vinasoy is also applying AI-driven data analytics to sales management, supporting demand forecasting and distribution optimization. Preparing a sales report for management meetings, which previously took around three days, can now be completed in approximately five minutes.Looking ahead, Vinasoy will continue to expand its use of AI across its end-to-end value chain, from factory floor to retail shelf. The retail display monitoring is planned for further scaling to 100% of Vinasoys outlets in the coming months. The company is also currently working with Renova Cloud to develop an AI-based packaging inspection solution on AWS for product packaging evaluation. Vinasoys commitment to AI-driven innovation, supported by AWS, positions the company to continue improving operational efficiency and ensuring consumers can find its products on shelves when and where they need them.Vinasoys journey is a strong example of how FMCG companies can move from AI experimentation to meaningful business impact, said Eric Yeo, Country General Manager, AWS Vietnam. What started as a single use case in retail display monitoring has already delivered measurable results, and were proud to support Vinasoy as they continue to explore new ways AI can enhance their operations.Every business has unique challenges, and we always begin with our customers real operational needs, said Doron Shachar, CEO of Renova Cloud. We are honored to work alongside Vinasoy in developing an AI solution that fits its business processes and enhances retail execution. We believe collaborations like this will encourage broader AI adoption across the Vietnamese business community.###About VinasoyFounded in 1997, Vietnam Soya Products Company, a branch of Quang Ngai Sugar JSC (Vinasoy) is a pioneer in plant-based nutrition and has ranked among the worlds Top 5 soy milk producers for eight consecutive years (2018-2025, according to GlobalData). In Vietnam, Vinasoy leads the ready-to-drink soy milk category in both value and volume share (Nielsen IQ, 2020-2023).Vinasoy operates three factories in Quang Ngai, Bac Ninh, and Binh Duong, with a total capacity of 390 million liters per year. Building on nearly 30 years of dedicated expertise in seed selection and breeding, technology mastery, and the development of sustainable raw material regions,

πŸ” Key Information

πŸ“„
Tender Reference No.
538209712
πŸ“…
Publication Date
30 Sep 2026
🌐
Sector
Information Technology (IT)
πŸ“
Notice Type
News
πŸ“
Location
United states

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Country United states
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