Case Study: Peugeot Citroën Automobiles achieves more accurate sales forecasting and network planning with Pitney Bowes MapInfo Drivetime

Peugeot Citroen uses the most accurate data for sales forecasting

Peugeot Citroën Automobiles (UK) faced unreliable sales forecasting and dealer catchment planning because its drive‑time estimates were based on generic distance/speed assumptions rather than real traffic patterns. To optimise sales targets, identify top-performing dealers and improve responses to fleet tenders, PCA turned to Pitney Bowes, deploying MapInfo Professional and a bespoke Drivetime solution fed with TomTom Speed Profile data.

Pitney Bowes implemented the MapInfo Drivetime solution to calculate average journey times from millions of real-world TomTom trips (7 a.m.–7 p.m., seven days a week) and overlaid those results with demographic and DVLA data in MapInfo Professional. The change eliminated queries about drive‑time accuracy, gave PCA a more realistic view of revenue potential, improved sales and territory targeting (used in fleet tender responses), and provided the basis for a gravity‑modelling system that better estimates the financial impact of opening, closing or relocating showrooms.

Peugeot Citroën Automobiles

Andy Bury

Network Planning Manager