AIoT Cloud Inc., a wholly owned subsidiary of Sharp Corporation (Sharp), supports various companies’ marketing activities by utilizing lifestyle data acquired from AIoT*1 home appliances.
Geolocation information obtained through the smartphone app with users’ prior permission is statistically processed to provide data in a manner that individuals cannot be identified. Location information is obtained with the app running constantly in the background.*2 The composition of the users’ residential areas is similar to the population distribution in Japan. Statistical data can be used to forecast the performance of companies in a given area.
商品カタログ一覧 Product catalog list
Product catalog list
Geolocation Data
Provided by AIoT Cloud
Provided by AIoT Cloud
Honda
Drive Data Service
(Customer Index)
Drive Data Service
(Customer Index)
This data set represents visiting information to parking lot associated with the stocks (retail or BtoB company), and that is calculated using the driving data of Honda car users who have given consent. Since the sampling frequency of the original data is high, it is possible to grasp the time spent in seconds. it is possible to grasp the change in the average stay time even though the offering data set is statistically processed. It would be very helpful information not only for predicting the increase/decrease in the number of customers from the number of visiting vehicles, but also for predicting the increase/decrease in the customer unit price.
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KDDI Location Data
(location-specific
movement data)
This data is statistically processed GPS location information permitted by users of "au", a major Japanese mobile carrier, in units of 10 meter minimum mesh, and is linked to a stock code.
For example, by using KDDI's small size mesh, it will be possible to visualize the operation status of employees in the factory and to estimate the factory's production activities. Ultimately, it will allow for more accurate and faster estimates of a company's performance.
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For example, by using KDDI's small size mesh, it will be possible to visualize the operation status of employees in the factory and to estimate the factory's production activities. Ultimately, it will allow for more accurate and faster estimates of a company's performance.