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Live brief

Databricks

Databricks enables retailers to tackle out-of-stock issues using real-time data and analytics on the Databricks Lakehouse Platform. Through AI-driven modelling and scalable solutions, retailers optimise inventory and swiftly adapt to demand changes.

Description

Combatting out-of-stock (OOS) scenarios is critical in retail, and Databricks offers a comprehensive solution accelerator to tackle this challenge. By harnessing real-time data and analytics through the Databricks Lakehouse Platform, retailers can ensure on-shelf availability in real-time, driving increased sales and customer satisfaction. Databricks provides pre-built code, sample data, and step-by-step instructions in a Databricks notebook, making it easy to implement AI-driven out-of-stock modelling. Rapidly respond to demand fluctuations with real-time insights, optimising inventory levels and minimising OOS instances. With Databricks, retailers can scale out their solution to accommodate operations of any size, ensuring consistent on-shelf availability across all locations. Additionally, this platform can be leveraged for supply chain solutions.