Case Study

Retail Demand Forecasting Platform

Retail4 min

Predictive demand modeling with a unified data lake, dynamic safety stock, and interactive forecast dashboards.

Project Overview

A retailer needed accurate, scenario-aware forecasts and faster planning. We unified data, built predictive models, and delivered dynamic safety stock with dashboards that align planners and supply chain.

Key Challenges

Static & Inaccurate Forecasting

Disconnected Data Sources

Slow & Manual Planning Cycles

No Scenario Modeling Capabilities

High Inventory Holding Costs

Our Solution

  • Predictive Demand Modeling
  • Unified Data Lake
  • Dynamic Safety Stock
  • Interactive Forecast Dashboards

Key Technologies

Python (XGBoost, Prophet)AzureSnowflakeDatabricksPower BI