CANDIDATE SITE EVALUATION SYSTEM AND CANDIDATE SITE EVALUATION METHOD

    公开(公告)号:US20190130427A1

    公开(公告)日:2019-05-02

    申请号:US16167627

    申请日:2018-10-23

    Abstract: A candidate site evaluation system includes: an evaluator that evaluates suitability of a candidate site in a target area based on a candidate site evaluation model and a second map, the candidate site evaluation model being obtained as a result of machine learning using a first map that shows any area and position information indicating locations of one or more existing facilities of a predetermined business type in the any area and being for evaluating the candidate site for opening a facility of the predetermined business type, the second map showing the target area including the candidate site to be evaluated; and an output unit that outputs a result of the evaluation.

    STORE SUPPORTING SYSTEM, LEARNING DEVICE, STORE SUPPORTING METHOD, GENERATION METHOD OF LEARNED MODEL, AND PROGRAM

    公开(公告)号:US20220335358A1

    公开(公告)日:2022-10-20

    申请号:US17764867

    申请日:2020-09-01

    Abstract: A store supporting system includes an estimation unit and an output unit. The estimation unit is configured to estimate, based on a learned model, a management index by using at least operation information as input information. The operation information is information on operation of a target store which is a specific store. The management index is an index relating to management of the target store. The learned model is generated by machine learning with data, as training data, including information on operation of a store and an index relating to management of the store. The output unit is configured to obtain, based on a result of estimation by the estimation unit, recommendation information and output the recommendation information. The recommendation information is information relating to the operation of the target store and is recommendable for the target store.

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