| CPC G06Q 30/0623 (2013.01) [G06Q 10/087 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0202 (2013.01)] | 17 Claims |
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1. A method including:
receiving, via a user computer, over a network, a first user selection including a product, and a brand, vendor and category associated with the product;
accessing a set of product information that includes information regarding the selected product, the set of product information including a set of products, wherein the product information is obtained, at least in part, by one or more crawl agents and wherein the product information includes for each product in the set: one or more brands under which the product is sold, a set of vendors offering it for sale, and a product category;
generating a set of analysis results based on the obtained product information;
identifying a first statistical pattern in a first analysis result from the set of analysis results for the selected product by performing statistical analysis on the product information and the analysis results,
in which the first statistical pattern is a statistical pattern between two or more types of data included in the first analysis result or in the product information and in which the two or more types of data share a common aspect, and in which the first statistical pattern comprises a cyclic change in the first analysis result,
in which the set of analysis results includes:
a social metric, an identification of which product in a sub-set of products leads or follows other products in the sub-set of products in terms of price changes, a demand metric obtained by at least a crawl agent based at least in part on visitors record generated from webpage traffic to one or more online stores at which the product is available, and in which the demand metric is stored in the database coupled to the computer, and a reach of the product in terms of the number of people who visit an online sales venue of the product, in which the social metric is generated based on a number of followers or a number of likes of the product that are obtained periodically by at least the one or more crawl agents to collect from one or more social media websites with which the product has an account, and in which the social metric is stored in a database coupled to the computer;
transmitting to the user computer, over the network, for display to the user, the first analysis result and the first statistical pattern;
receiving, via the user computer, over the network, a create alert command for the product, the create alert command including:
alert criteria, including at least one of: absolute or percentage change in price, initiation or termination of sales at a venue, and
a notification window and frequency;
in response to the command, executing the alert and transmit to the user computer, over the network, a notification;
receiving a second user selection and a second analysis result with respect to the second user selection;
identifying a second statistical pattern in the second analysis result;
identifying a third statistical pattern between the first statistical pattern and the second statistical pattern;
and displaying at least the third statistical pattern, via the user interface, to the user, in which:
the first analysis result comprises a price history of the product,
the first statistical pattern comprises a cyclic change in the price history of the product,
the second analysis result comprises a social metric for the product,
the second statistical pattern comprises a cyclic change in the social metric for the product, and
the third statistical pattern comprises a cyclic relationship between the first and second statistical patterns.
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