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Solution Accelerator

Improve On-Shelf Availability

Pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook

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Use AI out-of-stock modeling to improve on-shelf availability

Out of stock (OOS) is one of the biggest problems in retail. This Solution Accelerator shows how OOS can be solved with real-time data and analytics by using the Databricks Lakehouse Platform to solve on-shelf availability in real time to increase retail sales. The accelerator can also be used for supply chain solutions.

  • Use real-time insights to rapidly respond to demand
  • Drive more sales with on-shelf availability
  • Scale-out your solution to accommodate any size operation
Download notebooks

Resources

Webinar

Virtual event: Improve Item Availability With AI

eBook

eBook:Building Reliable Data Lakes at Scale

Blog

Improving On-Shelf Availability for Items With AI Out of Stock Modeling

Deliver innovation faster with Solution Accelerators for popular data and AI use cases across industries. See our full library of solutions

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