Methods and Apparatus for Gathering Intelligence from Itemized Receipts
First Claim
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1. An intelligence-gathering system comprising:
- a network-connected server having at least one processor and at least one coupled data repository;
software executing on the at least one processor from a non-transitory medium, the software providing;
a first function obtaining data from itemized receipts;
a second function obtaining related data from one or more merchant or third-party sites; and
a third function matching data sets obtained from the itemized receipts to data sets obtained from the one or more merchant or third-party sites.
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Abstract
An intelligence-gathering system operates on a network-connected server having at least one processor and at least one coupled data repository, with software executing on the at least one processor from a non-transitory medium. The software provides a first function obtaining data from itemized receipts, a second function obtaining related data from one or more merchant sites, and a third function matching data sets obtained from the itemized receipts to data sets obtained from the one or more merchant sites.
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Citations
20 Claims
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1. An intelligence-gathering system comprising:
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a network-connected server having at least one processor and at least one coupled data repository; software executing on the at least one processor from a non-transitory medium, the software providing; a first function obtaining data from itemized receipts; a second function obtaining related data from one or more merchant or third-party sites; and a third function matching data sets obtained from the itemized receipts to data sets obtained from the one or more merchant or third-party sites. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. An intelligence-gathering method, comprising the steps:
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(a) digitally processing data from itemized receipts to produce one or more machine-readable data sets, each data set describing a product and or service purchased; (b) using the one or more data sets produced in step (a) as criteria, searching one or more merchant or third-party sites for like data; (c) using the one or more data sets produced in step (a), grading the likelihood of a best match between the data set and returned data; and (d) selecting the data with the highest matching probability as a best match for each data set produced in step (a). - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification