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System and Method Using a Smart Watch to Determine Person and Selected Product Disclosure Number: IPCOM000247228D
Publication Date: 2016-Aug-17
Document File: 3 page(s) / 24K

Publishing Venue

The Prior Art Database


Disclosed is a system that combines location awareness services and smart devices to identify the interests of the customer based on movement interpretation and then deliver relevant sales incentives to the customer via the smart device.

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System and Method Using a Smart Watch to Determine Person and Selected Product

Identifying customer interaction with products on display enables advertisers to match customers with products, produce targeted advertisements, advertise related products, offer customer rewards, and pre-calculate a purchase of an item. Successful systems currently require radio frequency identification (RFID) tags (etc.) attached to the elements and/or the customer shopping cart/basket, or other overt customer actions, such as voluntarily self-scanning an item. However, RFID is not practical in all spaces.

In the space where RFID is not practical, a method is needed to determine when and how a user interacts with a product.

Disclosed here is a system to identify the product(s) in which a person is interested while shopping (i.e., browsing, investigating, selecting, returning a product to the shelf, etc.) based on three-dimensional (3D) nearness using location awareness services and smart watch information. The smart watch tracks the wearer's movement and identifies gesture(s) of selection, interaction, acceptance, and return. The system helps the retailer determine additional promotional actions (e.g., promote specific products, close the sale, highlight other products for suggestive selling, etc.) to increase sales.

The novel system uses the positioning and motions of a wearable device (e.g., a smart watch) to identify a specific shelf and a set of items or a specific item. The system does not require, but can work in concert with, a smart shelf that knows when a product is lifted or replaced on the shelf, and by weight, what that item is.

Location tracking software monitors an individual's path and interactions in the store. Store mapping knows the layout of products and location, including shelving height. The system converts the motions of lifting the arm to a certain height, bending over, reaching in, pulling, turning, returning, or placing (in a basket) to gestures and then maps those to levels of interest and determines the probability that the customer will complete purchase of the item.

When the customer demonstrates an interest in a product and the system identifies that the customer has taken possession or assigns a probability that the customer will do so, the system can direct relevant additional advertising or customer rewards to the customer.

This disclosure does not claim to solve the question of confirmed possession required for purchase management; however, the probability it provides can be used as input to such technologies to increase confidence. Existing technology is available that can in part aggregate location and location-related metadata to build context that can be used for analysis and resulting actions.

To implement this system in a preferred embodiment:

1. Retailer sets up a site with a location tracking system, including hardware and Wi-Fi sensors to perform triangulation


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2. A person walks around a venue...