Case Study: phData achieves up to 20% more accurate forecasts with Mapbox Movement Data

phData Measuring mobility for major forecasting gains

phData, a full-service machine learning and data analytics consulting company, needed a better way to improve demand and shipment forecasts for logistics and retail clients. Using **Mapbox** and its **Mapbox Movement Data**, phData looked for a stronger signal of human behavior to make forecasting more accurate and support better planning.

By partnering with **Mapbox**, phData used mobility data as an input to its forecasting models and achieved up to **20% more accurate forecasts**. In one test for a logistics company, mobility-based forecast accuracy reached nearly **80% for a given week**, showing how Mapbox’s data could translate into major operational and financial benefits.

PHData

Elizabeth Dinevski

Director of Data Science