HYBRID PREDICTION MODEL FOR A SALES PROSPECTOR
First Claim
1. A computer-readable medium having instructions stored thereon that, when executed by a processor, cause the processor to generate a sales prospect recommendation by:
- uploading customer data including past purchasing data and demographic data for a plurality of customers;
requesting a sales prospect recommendation; and
receiving at least one sales prospect recommendation from a predictive model trained by the past purchasing data and the demographic data, wherein the at least one sales prospect recommendation includes a customer and product.
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Accused Products
Abstract
Systems and methods provide a system for generating a sales prospect recommendation that uses demographic data to make a sales prospect recommendation that includes a product recommendation with a probability that the sale will close, and may include an estimated time to close the sale and projected revenue. The system imports customer data including past purchasing data and demographic data for a plurality of customers. The system can then generate a predictive model by training the model using the past purchasing data and the demographic data. When queried for a sales prospect recommendation, the system responds to the query with at least one sales prospect recommended by the predictive model.
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Citations
20 Claims
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1. A computer-readable medium having instructions stored thereon that, when executed by a processor, cause the processor to generate a sales prospect recommendation by:
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uploading customer data including past purchasing data and demographic data for a plurality of customers; requesting a sales prospect recommendation; and receiving at least one sales prospect recommendation from a predictive model trained by the past purchasing data and the demographic data, wherein the at least one sales prospect recommendation includes a customer and product. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A computer-implemented method for generating a sales prospect recommendation, comprising:
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receiving customer data including past purchasing data and demographic data for a plurality of customers; generating a predictive model trained by the past purchasing data and the demographic data; receiving a query for a sales prospect recommendation; and responding to the query with at least one sales prospect recommendation based on the predictive model. - View Dependent Claims (10, 11, 12, 13, 14)
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15. A system for generating a sales prospect recommendation, comprising:
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a customer data file including demographic data and past purchasing data for a plurality of customers; a sales modeler trained using the customer data file that receives a customer name as an input and outputs a product name and a probability of a sales transaction occurring; and a user interface for querying the sales modeler. - View Dependent Claims (16, 17, 18, 19)
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20. A computer-readable medium having instructions stored thereon that, when executed by a processor, cause the processor to generate a sales prospect recommendation by:
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uploading customer data including past purchasing data and demographic data for a plurality of customers; requesting a sales prospect recommendation; and receiving at least one sales prospect from a predictive model trained by the past purchasing data and the demographic data, wherein the at least one sales prospect includes a customer and product, wherein the predictive model includes an association rule model, a first cluster model built on the demographic data, and a second cluster model the past purchasing data, and wherein the first and second cluster models are used to predict at least one of an estimated time to close the sale and an estimated revenue from the sale.
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Specification