Method and apparatus for using prior activities to improve...

Data processing: financial – business practice – management – or co – Automated electrical financial or business practice or... – Discount or incentive

Reexamination Certificate

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Details

C705S016000, C705S018000

Reexamination Certificate

active

06647372

ABSTRACT:

FIELD OF THE INVENTION
This invention relates to a method of selecting a set of transactions, based on historical information, to present to a customer given: the customer's history, a store's history, and the time and day of the customers activity; such that the customers probability of completing the transaction is improved.
BACKGROUND OF THE INVENTION
This invention relates generally to point-of-sale computer systems of the type used in multilane retail stores, gas stations and banks to record transactions. Specifically, the invention relates to point-of-sale systems that can handle the presentation of visual or audio information to the customer and allow that customer to respond to that information. Point-of-sale systems have mechanisms for inputting a code recorded on a credit card, debit card, loyalty card, drivers license, and/or acquiring via some other means the identification of a customer being serviced. Such mechanisms include magnetic track readers (commonly called ‘stripe readers’), key pads, and touch screens.
During-the final minutes of a purchase of products in a retail environment, the customer is faced with a period of idle time. In a multilane store (grocery, variety goods . . . ) the customer waits for the checkout clerk to ring up the various purchases. In a gas station, the customer waits for the attendant or pump to fill the tank. This is wasted time. In general, neither the customer nor the store benefits from the activities of the customer during this time.
A mechanism for making use of this time can allow the retailer to gain additional revenue and profit. This invention allows these objectives to be met by providing the selection of transactions that the customer can perform during this time such that the transactions are likely to be ones the customer would select.
SUMMARY OF THE INVENTION
The method of the invention involves the collecting of information about the characteristics of the customer, including their interactions with this system, in a specific venue, at a time of day, and date; building profiles regarding specific customers and generic customers; collecting information about a current retail transaction, and using that information in whole or in part to optimize the customer idle time. An optimization takes into effect the value of a proposed use of idle time to the presenting retailer, the utility to the customer, and the customers previous reactions to similar transactions offered by this system.
A number of means are provided to: identify the customer; identify the venue; identify a start of idle time; present information; measure the time taken to present information; measure the time taken by the customer to respond to information; log frames (screen or audio) presented to the customer; log the frame choice made by the customer; relate the frame choice to a specific ad, coupon, product offering, or service offering; to estimate customer idle time; to construct dialogs leading to specific ads, coupons, product offerings and service offerings; to fit alternative dialogs to the idle time; evaluate the alternative dialogs; and to select between the alternative dialogs.
The invention performs the steps of collecting information from customer transactions at specific store locations; aggregating that information at a computer; analyzing the aggregated information to: extract the probability of habitual activities, determining a likely speed of the customers response to various presentations, determining repeated sequences of actions that can be combined into a fewer number of actions; collecting the value of all the possible transactions; and using this information to estimate the time the customer will be idle at the point-of-sale terminal; and selecting the best set and ordering of transactions that will fit within the expected idle time while maximizing the probability of completing the transaction(s).


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Hagel et al: “Who will benefit from virtual information?”; McKinsey Quarterly, 1996, n3, pp. 22-37.

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