See the highlights from this year’s Spatial Data Science Summit in CPG & Retail.
Data science and geospatial leaders came together to demonstrate next-generation use cases used across the industry such as omnichannel planning, supply chain network design, white space analysis, revenue prediction and much more.
Spatial Data Science: The Untapped Opportunity in CPG & Retail
Shaping a Post-COVID Retail Estate
UK Retail Centres & Retail Indicators
Capturing Store Potential Using Location Data
Location Planning For The Changing Shape Of M&S Food Estate
A Cloud Native Geospatial Conversation Between Jeff Sternberg & Nathan Eaton
Geolocation: A Key to Knowing Your Consumer
The Evolution of Location Analytics in Retail Real Estate
Measuring the Impact of Sustainable Mobility at IKEA
Geolocation Science Use Cases in Logistics and Proximity Based Marketing
Innovating Our Data and Methods to Understand Post-Pandemic Food Retail Location Dynamics
Enriching Retail & CPG Insights & Models with Third-Party Granular Population Movement Data
Understanding Consumer Behavior with POI and Mobility Data
An Integrated Network Plan for 15 Best-Known Brands
Vantage: Growth Through Spatial Machine Learning Analytics