Data Platform for a Regional Distributor Network
A consumer goods distributor with multiple warehouses needed better demand forecasting and route optimization to control rising fuel and inventory costs.
The Challenge
A consumer goods distributor with multiple warehouses needed better demand forecasting and route optimization to control rising fuel and inventory costs.
Our Solution
We designed a data lake architecture capturing sales, inventory movements, weather, and external market data. Automated pipelines cleaned and enriched information daily. Machine learning models (kept simple and explainable) provided weekly forecasts. Visualization tools gave managers interactive reports.
Client Testimonial
The platform now processes data from expanded operations and integrates with their financial system.
Detailed Results
• Forecast accuracy improved significantly, reducing stockouts and overstock situations. • Route planning optimizations cut fuel expenses by noticeable margins. • Sales teams gained tablet access to real-time stock and customer history. • Management received consolidated views previously requiring days of compilation.
Technology Stack
- Snowflake
- Apache Airflow
- Python
- Tableau
- Scikit-learn
Services Provided
- 01Data Engineering
- 02Machine Learning
- 03DataOps
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