Companies large and small who sell their products on Amazon.comas first-party vendors want to not only understand prior demand trends but also anticipate future demand so they can improve On-Time-In-Full (OTIF) metrics and, as a result, maximize their revenue. This architecture programmatically sources vendor performance data from the Amazon.complatform through vended APIs, which can be helpful to consumer packaged goods (CPG) companies who are manually collecting data. The solution allows analysis to occur on what has happened, andalso uses advanced machine learning (ML) to create future demand predictions that help to proactively plan operations in the weeks ahead.
