Case Study: Rexall achieves targeted site selection and demand‑aligned offerings with Pitney Bowes GeoInsight

A Pitney Bowes Case Study

Preview of the Rexall Case Study

Rexall uses geospatial data analytics to align offerings with demand

Rexall, a more than 100‑year‑old Canadian pharmacy chain with 470 stores, faced a business‑critical site‑selection challenge: 18–24 month lead times for new locations meant they had to optimize deployment of development capital and real estate, identify underperforming and high‑volume stores, and improve the efficiency of location decisions. To address this, Rexall partnered with Pitney Bowes and adopted the GeoInsight™ geospatial analytics platform to better align offerings with demand and target high‑ROI markets.

Pitney Bowes’ GeoInsight™ integrates Rexall sales and customer survey data with demographic and geospatial inputs, running predictive models that produce sales projections, cannibalization estimates and concise “site pack” summaries for each prospective location while benchmarking existing stores. The Pitney Bowes solution has sped decision‑making, reduced staff time and travel on low‑potential projects, aligned product assortments with demand, and delivers measurable site‑level sales projections and outlier identification that now drive Rexall’s real estate and capital planning.


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Rexall

Dave Bolan

Director of Market Development


Pitney Bowes

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