What we do

Case study

Demand Forecasting

Enhancing Inventory Management and Driving Full-Price Sales in Luxury Retail with Proprietary Demand Forecasting Module

Our solution

We have employed sophisticated deep learning techniques to train models on historical data and predict future demand for ongoing items.

Our specialized solution can predict full-season sales for newly introduced SKUs, taking into account product attributes and external trends.

We can incorporate external data, including seasonal trends, marketing campaigns, and economic conditions, to enhance the precision of our short-term (weekly) forecasts.

The result

Our specialized forecasting model is 45% more accurate than traditional models over individual seasons.

Our proprietary short-term forecasting model can help to create an accurate outlook for the store.

Demand forecasting

Inventory management

Short-term forecasting

SKU sales prediction

Deep learning techniques