Industry: Retail & E-commerce
AI Demand Forecasting for a Retailer
- Python
- Machine Learning
- Power BI
- REST API
- Data Pipeline
Overview
A retailer wanted to stop guessing how much stock to order and start predicting demand from its own historical sales data.
The Challenge
Overstocking tied up cash while stockouts lost sales. Buying decisions relied on gut feel, and seasonal spikes routinely caught the team off guard.
The Solution
We built a data pipeline from their sales systems and trained a machine-learning model to forecast demand per product and location, surfaced through clear dashboards for the buying team.
The Results
Forecast accuracy reached the point where excess inventory fell noticeably and stockouts on top-selling items became rare, freeing cash and protecting revenue at the same time.
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