Promotion planning system
First Claim
Patent Images
1. A method comprising:
- generating, for each of a plurality of customers, an individualized customer model using historical transaction data that is associated solely with the customer;
receiving a user input that indicates a goal of a promotion, wherein the goal identifies a desired long term effect of the promotion that occurs after the promotion has ended, and wherein the goal is selected from the group consisting of;
causing long term switches to a brand after the promotion has ended, causing a change in long term revenue after the promotion has ended, and causing a long term change in volume of sales after the promotion has ended;
automatically selecting a subset of the plurality of customers that are to be targeted with the promotion, based at least on the goal and the customer models;
automatically deriving suggested promotion parameters based at least on the goal for the subset of customers;
simulating, by one or more processors, an effect of the promotion on the subset of customers by applying the suggested promotion parameters to each of the individualized customer models that are associated with the subset of the customers that are selected to be targeted with the promotion; and
transmitting a promotional offer to one or more of the customers of the subset based on an outcome of simulating the effect of the promotion on the subset of customers.
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Abstract
A method and system for using individualized customer models when operating a retail establishment is provided. The individualized customer models may be generated using statistical analysis of transaction data for the customer, thereby generating sub-models and attributes tailored to customer. The individualized customer models may be used in any aspect of a retail establishment'"'"'s operations, ranging from supply chain management issues, inventory control, promotion planning (such as selecting parameters for a promotion or simulating results of a promotion), to customer interaction (such as providing a shopping list or providing individualized promotions).
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Citations
11 Claims
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1. A method comprising:
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generating, for each of a plurality of customers, an individualized customer model using historical transaction data that is associated solely with the customer; receiving a user input that indicates a goal of a promotion, wherein the goal identifies a desired long term effect of the promotion that occurs after the promotion has ended, and wherein the goal is selected from the group consisting of;
causing long term switches to a brand after the promotion has ended, causing a change in long term revenue after the promotion has ended, and causing a long term change in volume of sales after the promotion has ended;automatically selecting a subset of the plurality of customers that are to be targeted with the promotion, based at least on the goal and the customer models; automatically deriving suggested promotion parameters based at least on the goal for the subset of customers; simulating, by one or more processors, an effect of the promotion on the subset of customers by applying the suggested promotion parameters to each of the individualized customer models that are associated with the subset of the customers that are selected to be targeted with the promotion; and transmitting a promotional offer to one or more of the customers of the subset based on an outcome of simulating the effect of the promotion on the subset of customers. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A system comprising:
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one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising; generating, for each of a plurality of customers, an individualized customer model using historical transaction data that is associated solely with the customer; receiving a user input that indicates a goal of a promotion, wherein the goal identifies a desired long term effect of the promotion that occurs after the promotion has ended, and wherein the goal is selected from the group consisting of;
causing long term switches to a brand after the promotion has ended, causing a change in long term revenue after the promotion has ended, and causing a long term change in volume of sales after the promotion has ended;automatically selecting a subset of the plurality of customers that are to be targeted with the promotion, based at least on the goal and the customer models; automatically deriving suggested promotion parameters based at least on the goal for the subset of customers; simulating an effect of the promotion on the subset of customers by applying the suggested promotion parameters to each of the individualized customer models that are associated with the subset of the customers that are selected to be targeted with the promotion; and transmitting a promotional offer to one or more of the customers of the subset based on an outcome of simulating the effect of the promotion on the subset of customers.
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11. A non-transitory computer-readable storage device storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising:
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generating, for each of a plurality of customers, an individualized customer model using historical transaction data that is associated solely with the customer; receiving a user input that indicates a goal of a promotion, wherein the goal identifies a desired long term effect of the promotion that occurs after the promotion has ended, and wherein the goal is selected from the group consisting of;
causing long term switches to a brand after the promotion has ended, causing a change in long term revenue after the promotion has ended, and causing a long term change in volume of sales after the promotion has ended;automatically selecting a subset of the plurality of customers that are to be targeted with the promotion, based at least on the goal and the customer models; automatically deriving suggested promotion parameters based at least on the goal for the subset of customers; simulating an effect of the promotion on the subset of customers by applying the suggested promotion parameters to each of the individualized customer models that are associated with the subset of the customers that are selected to be targeted with the promotion; and transmitting a promotional offer to one or more of the customers of the subset based on an outcome of simulating the effect of the promotion on the subset of customers.
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Specification