Abstract: This analysis device comprises: a relationship analysis unit that uses customer segment data including a customer segment indicating the classification of a customer and renovation record data indicating the history of past renovation works to analyze a temporal order relationship between at least two renovation works based on renovation work dates of each customer for each customer segment; and an output unit that outputs an analysis result.

Abstract: A housing business assistance device includes: a memory; and at least one processor coupled to the memory. The processor performs operations. The operations includes: calculating a first difference between a value indicating a customer of a target company and a value indicating a customer of a company other than the target company for each segment obtained by classifying target customers of a housing-related business into a plurality of layers; determining a target segment for which measures are to be taken using the first difference; determining a transition destination segment to which a value indicating a customer of the target company in the target segment transitions; deriving one or more variables serving as keys in the measures using the target segment and the transition destination segment as inputs; and extracting one or more measure candidates associated with the variables.

Abstract: The sell prediction device according to the present invention comprises: a sell prediction unit that predicts customers with potential to sell a house, on the basis of a prediction model that predicts customers with potential to sell a house and that is generated based on house/customer data, sell record data, and property appraisal data, and on the basis of a target customer's house/customer data and property appraisal data; and an output unit that outputs predicted customers.

Abstract: This measure assistance device comprises: a measure plan identification unit that identifies a measure plan relevant to a factor that has caused a customer in hierarchical segments to move to a higher-level segment; a measure selection unit that selects a measure from among a plurality of the measure plans on the basis of the number of use intentions acquired on the assumption that the measure plan is executed; and a measure inspection unit that inspects the measure on the basis of a change in customer distribution of the hierarchical segments through execution of the measure.

Abstract: A housing business support device 30 is provided with an integrated information storage unit 31, a selecting unit 32, an analyzing unit 33, and an output unit 34. The integrated information storage unit 31 stores at least one of customer information, commodity information, dwelling information, business information, and contact information. The selecting unit 32 presents, for selection, commodity information for extracting a customer candidate, from at least one of commodity information relating to new builds, commodity information relating to renovation, and commodity information relating to aftercare service. The analyzing unit 33 analyzes customers correlated with a selected commodity on the basis of information necessary for extracting a customer candidate associated with the commodity, acquired from the integrated information storage unit 31.

Abstract: An information processing system according to the present disclosure includes: a recommendation table for storing a purchase product, recommended products related to the purchase product, and product areas to which the recommended products belong; a purchased product target table for storing a purchased product purchased by a customer; an exclusion area target table for storing an area where the customer has stayed for more than a predetermined staying time as an exclusion area; and an extraction unit that extracts the recommended products related to the purchased product as recommended products for the customer by referring to the purchased product target table and the recommendation table and extracts recommended products for distribution by referring to the recommendation table and the exclusion area target table and excluding a recommended product that belongs to the product area that matches the exclusion area from the recommended products for the customer.

Abstract: Provided are a matching system, a matching method, and a program that can make offerings in different services. A matching system (100) includes a matching rule generation engine (4) and an offer engine (6). The matching rule generation engine (4) generates a matching rule that associates a first user belonging to a first service with a second user belonging to a second service. The offer engine (6) offers the first user a commercial material of the second service that can be offered to the second user according to the matching rule.