Snowflake announced an extension of its relationship with Amazon Web Services (AWS), to improve demand forecasting and delivery for the retail and consumer packaged goods (CPG) industries. This latest development will offer customers the ability to receive Amazon purchase order (PO) data and leverage product demand forecast data generated by Amazon Forecast within Snowflake's Retail Data Cloud. Snowflake's Retail Data Cloud, which unites Snowflake's data platform, Snowflake- and partner-delivered solutions, and industry-specific datasets, breaks down data silos across the retail industry.

With this announcement, retail brands and CPGs that sell on Amazon will now be able to receive their Amazon PO data natively in Snowflake, leverage brand-level and fulfillment center-level forecasts, and access new data from third-party data providers within the Retail Data Cloud, all on Snowflake's single, integrated platform. The AWS and Snowflake relationship will empower retail businesses to process, analyze, act on, and syndicate data from a multitude of sources without the delays of traditional methods which require copying and moving data. The Snowflake and AWS offering will enable retail and CPG customers to: Import Amazon purchase order data: More easily import Amazon PO data into Snowflake to better access, govern, and share data seamlessly across the organization; Increase forecast accuracy: Improve forecast accuracy using machine learning models from Amazon Forecast to create accurate time-series forecasts to predict demand for variable vendor purchase orders weeks ahead of time; Track product change impacts: Track product weight or dimension changes to ensure they adhere to manufacturer standards; Reduce OTIF penalties: Improve on-time in-full (OTIF) metrics to enhance organic ranking on Amazon.com, reduce chargeback expenses, and help ensure products are in-stock for consumers to buy; and Ensure high velocity SKUs in stock: Match correct probabilistic forecasts with SKU sales velocity to help ensure key products will stay in stock and improve revenue.