90% of retail transactions still take place offline. Whether it’s opening, closing, repurposing or relocating - using Spatial Data Science to create a profitable offline footprint is more important than ever in the era of omnichannel. Predict revenues, identify twin areas, & use new data streams to monitor performance & plan expansion / consolidation efforts effectively.SEE A FULL DEMO
Whether you’re running an OOH campaign, digital advertising campaign or evolving merchandising decisions - understanding where your existing & potential new customers are is fast becoming a differentiator for today’s modern retail marketer. New data streams such as credit card transactions insights (from Mastercard) or human mobility (from Vodafone or Unacast) allow you to hypertarget your campaigns at a deep granularity.DISCOVER OUR REVENUE PREDICTION METHODS
With ecommerce growing at 15% per year globally & on-demand delivery services becoming commonplace in urban areas - consumer expectations have changed drastically. The “Prime-ification” effect means that Retailers have to up their game to optimize how their stores, distribution centers, & logistics partners work together to meet the demands of today’s unrelenting consumer. Spatial techniques & data can enable your team to define efficient territories & routing optimization engines that bring value to your operations.READ OUR SUPPLY CHAIN POST
Retailers may use geospatial to get macro-insights on their brick & mortar sites - but the most competitive ones are now looking indoors too. Location data generated from WiFi networks, beacons, GPS applications, and Apple Indoor Maps make it easier for Retailers to optimize layouts and maximize efficiency, answering pressing business questions relating to pricing, opening hours, & operations.SEE MORE ON INDOOR
Take the pain away from selecting, collecting, and consuming spatial data with our Data Observatory, a one-stop shop for all things geospatial data.
Augment your own data and broaden your analysis with a wide range of curated datasets on standardized spatial aggregations.