Web appForecasting
Demand forecasting for a large EU beauty-products distributor
A forecasting system that predicts stock requirements for a large EU beauty-products distributor, replacing spreadsheet-based planning.
The problem
Stock levels were forecast in spreadsheets, and under-ordering led to seven-figure losses from stock not being available to sell.
What Evoloop built
- Replaces spreadsheet-based stock forecasting with a data-driven system
- Combines historical sales data with trend and event signals as model inputs
- Machine learning models predict stock level requirements
How it runs
- Predicts stock level requirements from historical sales data, future trends, and events
Where it is now
MVP.