Automation Process in Retail Supply Chain
The technical architecture that detects demand spikes through Databricks and Amazon Quick integration and automatically generates supplier orders has been detailed.
A new technical solution developed to bridge the gap between demand forecasts and execution systems in the retail sector detects demand fluctuations and automates supplier ordering processes.
Architecture and Solution Approach
While traditional supply chain methods experience disconnects between forecasts and operational steps, the new integration transforms this process into a seamless cycle.
Forecast and Detection Phases
The Databricks Many Model Forecasting infrastructure successfully performs demand forecasts for the upcoming seven-day period for each stock keeping unit.
Decision and Execution Processes
The system matches detected demand fluctuations with up-to-date supplier data to determine the most cost-effective supplier and creates the order.