All case studies
AI & Machine Learning
Demand forecasting engine for multi-store retail
- Client
- Retail chain
- Industry
- Retail
- Year
- 2025
A machine-learning forecasting platform that predicts SKU-level demand across stores, reducing stockouts and overstock.
32%
fewer stockouts
18%
lower holding cost
4 wks
to first insights
The challenge
Inventory decisions were made on spreadsheets and intuition, causing frequent stockouts on fast movers and capital locked up in slow-moving stock.
Our solution
We built a data pipeline consolidating POS, seasonal and promotional data, trained gradient-boosted and time-series models per category, and shipped a dashboard with daily reorder recommendations.
Technology
- Python
- LightGBM
- Prophet
- FastAPI
- PostgreSQL
- Next.js
Have a project in mind? Let's build what's next.
Tell us about your goals. We'll get back within one business day with ideas, a plan and a transparent estimate.