Get specific information on your store’s location viability and forecast traffic to optimize site performance and fleet.
RETAIL/BANKING
Compare traffic between points of sale, or between you and competitors’ location, and correlate traffic period with sales.
With HERE traffic data, you get a complete understanding of your consumers’ behavior at a hyper-local level.
Use traffic count to:
1. Improve your competitive intelligence
2. Analyze site prices and performance
3. Forecast sales growth or decline
4. Anticipate population and customer migration
TRANSPORTATION/UTILITIES
Understand traffic patterns so that your fleet can get to a destination in the fastest, safest and most cost-effective way.
HERE historical traffic data provides the average speed value for a typical day and gives complete projections on drive times for every road in HERE Map database.
Use traffic count and speed to:
1. Facilitate logistics planning and increase operational efficiency
2. Reduce the cost of traffic-related delays
3. Reduce the stress and increase driver safety for your staff on the road
Vehicular traffic data file (Ramsey County sample), including:
Traffic count: analyze the number of vehicles driving near a business
Traffic speed: measure the speed of vehicles on the road, to optimize route plannin
Map data: speed limits, street centerlines, street names, point of interest, functional class, etc.
Documentation provided within the data package delivered
Enhance your GIS solution with highly accurate maps
Benefit from the widest data coverage on the market
Gather detailed information for well informed decision-making.
Integrated data at all relevant levels of your business
Documentation provided within the data package delivered.
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.
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.
With the rise in popularity of online services, traffic analysis is becoming paramount for banks to make accurate financial forecasts and the best decisions about opening and closing branches.
For years, the retail industry has relied on Annual Average Daily Traffic (AADT), but that data source has lived passed its usefulness. The new standard for today and the future is using Detailed Historical Traffic (DHT). It leverages a more timely, more accurate, and higher frequency source: probe data.
