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Amazon EMR offers built-in machine learning tools, including Apache Spark MLlib, TensorFlow, and Apache MXNet to create and customize predictive analytics toolsets.įorecasting models developed by Jiang’s team helped Amazon Fresh improve inventory availability by 15% after the outbreak of COVID-19. Jiang’s team leverages Amazon’s Elastic Map Reduce (EMR) cloud-based service to process large amounts of data from multiple inputs on the supply and demand side. Our models allow us to determine which vendor to buy a product from while taking factors like quality, shipping times, and price into account.” “Our models are always trying to determine what the demand for a particular product will be in a particular marketplace at a certain moment in time. “We are working with two sets of variables,” says Jiang. Wei Gao, Amazon vice president grocery, product, and supply chain, says Amazon Fresh is leveraging decades of Amazon operational experience and scientific innovation to develop thoughtful approaches that make grocery shopping faster and more convenient. The algorithm seeks to continually help Amazon Fresh customers access the best quality products at the lowest possible price.

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Scientists on the forecasting team have developed time series models to enable Amazon Fresh’s vendor-selection system to arrive at purchasing decisions in an automated way. To have high in-stock selection while also ensuring minimum waste, Jiang’s team must ensure that they are buying products from suppliers with the most relevant selection and optimal delivery times.

That would be wasteful.”Īmazon Fresh’s suppliers include manufacturers, distributors, and local farmers. You can’t solve this problem by having everything everywhere. “A customer order for strawberries in Seattle cannot be fulfilled from a store in New York. “The localized nature of groceries can make forecasting a challenge,” says Jiang. As part of this mandate, the team develops forecasting models - critical in grocery, where products have a limited shelf life. Jiang’s team builds on this work to leverage data science and help Amazon Fresh make purchasing decisions. Among his team's tasks: develop forecasting models for the business.Īcross Amazon, forecasting models help estimate future demand to help retail businesses decide which products to order and where to store them. Tommy Jiang is director of product and technology, Amazon Fresh. Tommy Jiang is the director of product and technology for Amazon Fresh. “We are leveraging decades of Amazon operational experience and scientific innovation to develop thoughtful approaches that make grocery shopping faster and more convenient.”įrom forecasting to selection, Amazon Fresh scientists are working through (often open) research challenges to develop machine learning models that seek to enhance the grocery shopping experience.

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“Whether offline or online, we are constantly improving the grocery shopping experience for customers,” says Wei Gao, Amazon vice president grocery, product, and supply chain. Amazon Fresh stores offer innovations like the Amazon Dash cart, allowing customers to shop by skipping the checkout line, features like Order Ahead on the Amazon App, and the ability to interact with Alexa at various locations throughout the store. In 2020, customer excitement for Amazon Fresh was fueled by the introduction of Amazon Fresh grocery stores.

Amazon Fresh also expanded its selection to include tens of thousands of products, including a complete grocery selection, everyday essentials, gifts, and more and also introduced one- and two-hour delivery.

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During that time, the service expanded to more cities and became free for Prime members. Amazon Fresh has seen a sharp spike in demand since 2019.