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Realtime Display of Product Combinations on Mobile Device in Retail Shopping Complex for Advanced Cross Selling

IP.com Disclosure Number: IPCOM000241378D
Publication Date: 2015-Apr-21
Document File: 5 page(s) / 73K

Publishing Venue

The IP.com Prior Art Database


Disclosed are a software application and system that assist consumers with shopping while facilitating cross selling for retailers. Based on an image of a product, the system identifies the product, performs a search for related products, presents the user with a new image of options for combination products, and indicates to the user the location(s) of said products.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 28% of the total text.

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Realtime Display of Product Combinations on Mobile Device in Retail Shopping Complex for Advanced Cross Selling

Within the capabilities of ecommerce, a retailer can easily show additional products to, and engage in suggestive selling (i.e. cross selling) with, the online customer. To promote additional sales, the ecommerce environment provides links to products or combinations of products. A traditional brick-and-mortar retail environment, however, does not have an easily defined and manageable method for cross selling combinations of products.

While shopping at a physical store, consumers often explore different products and product combinations within the store or through many stores within a shopping complex. Within a physical store, in comparison to an online store, the range of options is limited to what the retailer can physically display for combinations of products and cross selling. A manikin, for example, can show one or two options for product combinations, whereas, a website can show multiple options, which increases sales opportunities.

A system or method is needed to address the following (but not limited to) limitations of a physical retail store, offer the customer more options, and increase sales:

 Limited number of products to display in a combined manner

 Limited space to create combination displays

 Lack of cross-brand product combinations, as stores are often segmented by brand

 Lack of cross-store product combinations, as a customer might not find all preferences in one location

 Limited versions of products (e.g., colors, models, sizes, etc.) available in the physical store

 Limitedtime to shop in store/mall constraints, especially when the complex is very large

 Specific customer preferences and needs

A method and system are needed by which a user can select products within the store, and then visualize different combinations of products available within the store as well as the greater shopping complex based on the user's preferences.

The novel contribution is software installed on a mobile device that identifies related products based on the picture of a first product. The software performs a search on a remote server repository for related/combination products based on defined consumer preferences (e.g., fashion, personal, shopping scope, social sentiment, etc.). The software can also correlate data to social networking for product recommendations. It then displays on the mobile device the combination(s) of products with which the user can interact and then locates the products within the defined shopping scope. The software also displays social sentiment for suggested products and product combinations. While shopping, the user can use the associated application to take a picture of a product of interest, which serves as search input.


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Alternatively, product selection can be initiated from an online browser through an application that allows the user to select a produ...