PREDICTIVE CONVERSION SYSTEMS AND METHODS
First Claim
1. A computer system for building an inventory database, the computer system comprising:
- an electronic memory storage configured to store modules;
a computer processor configured to execute the modules comprising at least;
a data access module configured to access inventory data for a plurality of products from at least one inventory data source,a metadata extractor module configured to extract stated metadata from the inventory data for each of the plurality of products,a product evaluator module configured to determine a product category or a product identification based on the stated metadata for each of the plurality of products,a comparator module configured to compare for each of the plurality of products the product category or the product identification to stored metadata in a metadata database, wherein the metadata database comprises additional metadata for a plurality of products,a metadata identifier module configured to identify derived metadata for each of the plurality of products based on the comparison, wherein the derived metadata is metadata that is not stated metadata and is in the metadata database,a conversions module configured to generate a specific conversion rate for each of the plurality of products based on inputting the stated metadata and the derived metadata into a conversion rate formula, wherein the conversion rate formula is based on a linear or logistic regression analysis,a conversion rate assignor module configured to assign the specific conversion rate corresponding to each of the plurality of products, anda storage module configured to store in the inventory database for each of the plurality of products the stated metadata, the derived metadata, and the specific conversion rate.
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Accused Products
Abstract
In one embodiment, a system and method of predicting sale transaction conversion rate of an item operates through a search of information in response to a query over a network. The item can be included in a category of items. Information for other relevant items of the category is available through network query and historical data, among others. Respective information for the other items of the category is available to the method. The system and method includes discovering available information of the item of interest, extracting certain of the available information of the item, analyzing the certain information for the item by comparing the information to other item information for the category of items, weighting the information for the commercial item in comparison to other items of the category, calculating a predictive score for the commercial item of interest, and presenting the information of the commercial item of interest ranked according to the predictive score as compared to other items of the category.
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Citations
11 Claims
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1. A computer system for building an inventory database, the computer system comprising:
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an electronic memory storage configured to store modules; a computer processor configured to execute the modules comprising at least; a data access module configured to access inventory data for a plurality of products from at least one inventory data source, a metadata extractor module configured to extract stated metadata from the inventory data for each of the plurality of products, a product evaluator module configured to determine a product category or a product identification based on the stated metadata for each of the plurality of products, a comparator module configured to compare for each of the plurality of products the product category or the product identification to stored metadata in a metadata database, wherein the metadata database comprises additional metadata for a plurality of products, a metadata identifier module configured to identify derived metadata for each of the plurality of products based on the comparison, wherein the derived metadata is metadata that is not stated metadata and is in the metadata database, a conversions module configured to generate a specific conversion rate for each of the plurality of products based on inputting the stated metadata and the derived metadata into a conversion rate formula, wherein the conversion rate formula is based on a linear or logistic regression analysis, a conversion rate assignor module configured to assign the specific conversion rate corresponding to each of the plurality of products, and a storage module configured to store in the inventory database for each of the plurality of products the stated metadata, the derived metadata, and the specific conversion rate. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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Specification