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To measure store success, static data must be combined with pedestrian and vehicle mobility data, which are a powerful means of predicting sales and adapting supply to demand with the utmost accuracy.

Korem can help you develop an effective EV infrastructure strategy through location data and site analytics that will assist you in complying with regulations and meeting increasing customer demand.

Geolocation can help retailers in the post-pandemic era in three ways: optimizing last-mile delivery, managing new mobility data sources, and building an electric vehicle charging station strategy.

For years, the retail industry has relied on Annual Average Daily Traffic (AADT) to understand traffic around existing and planned locations. However, it is no longer an accurate measure as a differentiating indicator because there are now more reliable sources of traffic data available, such as DHT.

Currently, EV charging stations are popping up at hotels, malls, and restaurants. This is already transforming trade areas for both fuel retailers and the places where consumers stop for longer periods of time than they would to gas up their ICE cars.

If Census geographies are suspect and mobile movement data are subject to limited geographic extents and privacy, what’s the answer? The answer is to use both.

Access to quality geospatial data and analysis of that data using a geographic information system (GIS) is critical to determining ideal sites for electric vehicle charging stations.

Foot traffic data contributes to the creation of a model for retail store success. It helps measure customer attraction, understand local demographics and the impact of competition.

Traffic analysis has many benefits, such as understanding sales performance and consumer behavior, as well as better competitive intelligence. There are several ways to use vehicular traffic data, which deliver accurate, comprehensive traffic counts.

Today, selecting “where” is the domain of the geospatial data scientists that have an abundance of information available to them. However, because the access to digital data is rich and vast, the competition is brutal.

The trade area definition hasn’t really changed, but the amount and variety of data available to create and analyze trade areas certainly has. Read more for today’s techniques and benefits of trade area analysis in retail.

Geospatial technology can be the critical element that provides superior customer service. Read how retailers have adapted during the pandemic.

Online retailers have the burden of assigning the right sales tax to each purchase—the task can be complex if you add local jurisdictions and tax district boundaries.

Mobility data has tremendous potential and the COVID-19 era shed light on how more dynamic, more real-time data has been utilized. Users can now seek those additional applications of the data and technology.

Confidently creating winning pricing strategies, forecasting sales, and executing is within your grasp with a personalized approach and the best mix of geospatial data, technology, and expertise.

Location data represents one of the critical success factors in the retail industry. Geospatial data and technologies are the foundation of retail success, from site selection to geospatial marketing to customer experience.