Systems and methods to predict resource availability

    公开(公告)号:US10482527B2

    公开(公告)日:2019-11-19

    申请号:US15222434

    申请日:2016-07-28

    Abstract: Systems and methods to predict availability of retail spaces in shopping malls. Robots are dispatched to temporary retail spaces to collect at least a portion of operation data stored in a database with leasing data of temporary retail spaces in a mall, tenant coordination data, and subscriber data. A web-based application predicts availability of the temporary retail spaces in the mall based on the leasing data, the tenant coordination data, and the operation data. The web-based application includes an interactive plan of the mall as a user interface for subscribers to access data related to the temporary retail spaces, and process applications for leasing the temporary retail spaces. A machine learning technique is applied to a dataset of the tenant to derive a predictive model for predicting tenant default in a period of time.

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