Place the best-fit products at the right time per store to avoid stockouts and minimize markdowns. Make predictions based on different factors including store layout, display capacity, previous purchases, weather, time of the year, and online behavior
Understand the Use-case under 5 minutes
Get to know more Business and Technical details about the use-case (15-30 minutes)
More detailed introduction covering business and technical aspects
Case studies, Organizational Aspects, Return on Investment examples
More details on the technical aspects of the use-case
Technical resources that will help you implement the use-case (notebooks, tutorials..)
Data Sets you can use to build Demos, POCs, or test Algorithms
Off-the-Shelf Products using AI for Fraud Detection
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