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System for Visually Identifying the Centrality of a Product. Disclosure Number: IPCOM000237831D
Publication Date: 2014-Jul-16
Document File: 3 page(s) / 62K

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System for Visually Identifying the Centrality of a Product.

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System for Visually Identifying the Centrality of a Product.

Retailers, especially in the current climate, must be extremely careful in the products they stock to ensure that those products are as unique and as sellable as possible. The decisions being made on what products should be bought and displayed for sale should also consider what competitors are doing and what that retailer can do to distinguish themselves from those competitors. Is the new product being considered unique in relation to competitors? Does its uniqueness increase the probability of selling the product and increase the profile of that retailer as having unique stock that cannot be found easily elsewhere?

    Prior to the digital era, the amount of information available to determine how unique a product is was limited. A retailer had to manually inspect the stock that other competitors had in their possession, examine the product they were considering and then determine the uniqueness.

    With the advent of the digital age, much of this information is available online and may be available for use for a system to carry out such analysis in an automated fashion.

    The proposal here is for a system that would visually identify the level of uniqueness and centrality of a particular product object based on a weighting system. A product to compare would be selected. The system would take a visual representation of this product and then gather information for similar products from various predefined sources. An algorithm would then be run to determine the uniqueness of the selected product against the other similar products and a result returned.

    Below is a scenario of how this system would operate for a fashion retailer who is looking to buy a new item of clothing to stock. The system would compare an image of that item of clothing to what is available on other stores on the high street and then return a result outlining how unique that specified product is.

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    The example described above describes how the system would work. The visual analysis of the product and the comparison of data generated using a weighting system from this visual analysis is the key component of this system.

System stores details of retail stores to be used in the processing.

An image of the product to be checked...