Guidance for Demand Forecasting & Planning on AWS
Overview
This Guidance helps consumer packaged goods (CPG) companies connect data from databases and ecommerce sites to create forecasts and increase visibility into inventory, sales, and marketing campaigns. In this Guidance, sales data with anomalous behaviors are sent to dashboards where alerts can be configured, so companies can take appropriate action. A time-series, machine learning forecasting service is also deployed in this Guidance, designed to analyze business metrics to help companies forecast easily and accurately.
How it works
This architecture shows how data is collected from your databases and ecommerce sites, processed, and exported to a dashboard for visibility and forecasting.
Well-Architected Pillars
The architecture diagram above is an example of a Solution created with Well-Architected best practices in mind. To be fully Well-Architected, you should follow as many Well-Architected best practices as possible.
Disclaimer
The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.
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