Case Study: InPost achieves more accurate demand forecasting with Addepto

Demand forecasting in parcel delivery

Addepto worked with InPost to improve parcel delivery demand forecasting. InPost needed more accurate predictions than those based only on historical demand, which risked overstocking, understocking, and slower responses to changing market conditions.

Addepto implemented a machine learning-based predictive analytics solution on cloud infrastructure, with support for large data volumes and the inclusion of Covid-19 effects in the forecasting process. The result was more accurate demand forecasting, better alignment with customer needs, improved logistics planning, and a reduced risk of disruption, though no specific numerical impact was provided.

InPost

Przemysław Piekarz

Sales Analysis Manager