Embodiments disclosed herein relate to managing one or more retail establishments, and more particularly to selecting a suitable site for a retail establishment. Embodiments herein disclose a suitable site for a retail establishment using an Analytical Hierarchy Process (AHP), wherein AHP uses multiple data sources (such as, but not limited to, population data, road network, petrol stations, shopping malls, parking, transport, building, land use, Point of Interests (POIs), vehicle telematics, and so on) and prioritizing key needs for locating a site near a specific area by weighing factors (such as, but not limited to, environmental criteria, site attributes, road access, population density, and so on).

A prediction device includes: a store visit number prediction unit that acquires data regarding the number of past visits to a store, inputs the data to a trained store visit number prediction model, and predicts the number of visits to a store on a prediction target day by using an output from the store visit number prediction model; a rate prediction unit that acquires data regarding the number of past visits to a store, a past sales volume until a designated time of the prediction target day, and a sales time feature of the prediction target day, and predicts a sales rate of each product; and a sales volume prediction unit that predicts a sales volume of each product on the prediction target day by using the number of visits to a store predicted by the store visit number prediction unit and the sales rate of each product predicted by the rate prediction unit.