Virtual shopping assistance

A technology for shoppers and items, applied in the field of virtual shopping assistance, which can solve the problem of lack of rich and relevant interactions between retailers and shoppers

Inactive Publication Date: 2012-09-19
MICROSOFT TECH LICENSING LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As a result, "on premise" retailers and shoppers lack the rich a

Method used

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Examples

Experimental program
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Effect test

example

[0073] ●Instance: one per chain store

[0074] ●Basic file name PM

[0075] ●Field (example):

[0076] ○Product external ID (ExternalID)

[0077] ○Universal Product Code (UPC)

[0078] ○Name

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PUM

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Abstract

On-premise virtual shopping assistance is provided via a mobile device and other networked user interface devices. The assistance can be based on various context parameters associated with the shopper, including without limitation location, past shopping behavior, shopping list content, store layout, inventory, social networking characteristics, in-store activity, perceived shopper intent, etc. Based on such context information, a retailer and/or a manufacturer can provide relevant information to an on-premise shopper, including without limitation product/service promotions (e.g., discounts), product/service specifications (e.g., nutritional information) and recommendations and on-premise routing information. Such information may be presented to the user through a mobile device or via on-premise displays that respond to the shopper's location within a store. In one implementation, on-premise virtual shopping assistance may be provided through a cross-retailer shopping platform that integrates shopper, product/service, and retailer information and presents relevant assistance to the shopper through one or more user interfaces.

Description

technical field [0001] The present invention relates to virtual shopping assistance. Background technique [0002] Online shoppers have become accustomed to accessing detailed product information related to their interests, search queries, locations, and more. Product recommendations, product specifications, discounts / discount offers, new product announcements, and other information can be generated for each online store based on information (such as past shopping behavior, product preferences, etc.) that online retailers can collect about online shoppers. Shoppers personalize. Such information can enhance the shopping experience and value for both the online shopper and the online retailer, especially because such information can engage the online shopper at decision points during their online shopping activities. [0003] However, in-store shoppers often do not get such rich, targeted information. In contrast, brick-and-mortar retailers present in-store shoppers with pr...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
CPCG06Q30/02
Inventor J·库兰德W·B·盖H·弗里克
Owner MICROSOFT TECH LICENSING LLC
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