Azure Batch works well with intrinsically parallel workloads and includes job scheduling and compute management.īuild a content-based recommendation system Perform batch scoring with R models using Azure Batch. Architectureīatch scoring with R models to forecast sales The following articles provide detailed analysis of architectures developed and recommended for the retail industry. Topics include automating decision making, SKU assortment optimization, descriptive analytics, predictive analytics, parametric models, non-parametric models, implementation details, data output and reporting, and security considerations. It provides a workflow example and maps its stages to the relevant Azure technologies. This document focuses on the AI concept of visual search and offers a few key considerations on its implementation. Visual search in retail with Azure Cosmos DB The three stages are to rehost, refactor, and rebuild your solution. Learn how to move an existing e-commerce solution to the cloud. Migrate your e-commerce solution to Azure Primer for how to ingest, prepare, store, analyze, and take action on data, for the retail industry. Although they are mostly conceptual, they can also include implementation details. The following articles provide more details about retail architectural topics. Microsoft is also revolutionizing the retail industry, by providing a comprehensive retail package, Microsoft Cloud for Retail. For use cases and customer stories, visit Azure for retail. Using Azure services, retailers can easily achieve these goals. Learn more about a retail company's journey to cloud adoption, in Cloud adoption for the retail industry.

Online retail use case diagram