This is a Point of Interest (POI) data set containing various chain stores and General facility (shop) across Japan. It is provided as point data (text format) that can be used with various GIS (Geographic Information Systems).
It is categorized into approximately 40 industry genres, including convenience stores, restaurant chains, and gas stations, and over 1000 chain genres, allowing you to use it in conjunction with various search functions.
For each facility, in addition to the name, latitude and longitude, pronunciation, address, and phone number, it also includes "route search points" to assist in accurately guiding users to the facility's entrances and parking lots.
Furthermore, with 12 updates per year, newly opened facilities are reflected as soon as possible.
How General facility (shop) spot data can transform your business. We introduce specific use cases and examples that offer hints for solving challenges through our case studies.
This service can be widely used for all types of facility searches in location-based services and products, including car navigation systems and digital map services. It supports various facility search functions, such as free word search, name search, phone number search, and genre search.
In addition to its search function, it can also be used for marketing operations that combine it with your existing statistical and market data, such as various market area analyses (area marketing) and behavioral analysis.
The categories are divided into two types: by industry, such as "convenience store" and "drugstore," and by brand, such as "Seven-Eleven" and "Cocokara Fine," allowing users to choose the category that best suits their needs.
– Reducing driver stress:
Drivers can reach the destination's parking lot or entrance smoothly and safely without getting lost, improving user satisfaction.
– Streamlining logistics and delivery operations
Because it can accurately guide vehicles to the entrance of the delivery destination, it directly leads to shorter delivery times and increased efficiency. By reducing misdirection and waiting times on surrounding roads, it optimizes logistics costs and improves delivery quality.
– Improving the "quality" of the navigation function
This solution addresses issues that directly impact the user experience, such as "I arrived but couldn't find my destination" or "I was directed to the back entrance."
It's 12 times a year.
We continuously collect information on changes in facilities from a variety of sources, including websites, telephone surveys, store lists provided by chain stores, and on-site surveys. Based on the collected information, spot data is updated monthly. Newly opened facilities are reflected as quickly as possible. Facilities that have closed are also removed from the data promptly.
The focus is mainly on new store openings, closures, and relocations.
Yes. All stores belonging to that chain are included.
This data shows the most suitable destination for guiding vehicles to a facility. The appropriate location varies depending on the facility, such as a facility-specific parking lot or the road right in front of the entrance.
Parking spot data containing business information and pricing information
A large-scale map showing even individual houses and buildings
Includes future information up to three years in advance, such as store openings, relocations, and closures
