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Method for Relating Retails Sales based on Customer Traffic Patterns.

IP.com Disclosure Number: IPCOM000015313D
Original Publication Date: 2002-Jan-29
Included in the Prior Art Database: 2003-Jun-20
Document File: 2 page(s) / 96K

Publishing Venue

IBM

Abstract

Disclosed is an approach for relating product proximity to product sales within retail environments using extension to DB2* Spatial Extenders. It adds new complex data type to O-R spatial extensions to include time as an attribute.

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Method for Relating Retails Sales based on Customer Traffic Patterns.

  Disclosed is an approach for relating product proximity to product sales within retail environments using extension to DB2* Spatial Extenders. It adds new complex data type to O-R spatial extensions to include time as an attribute.

The focus or novelty of this approach is the use of Spatial UDF and a retail spatial reference system to relate product sales to position. We leverage the native Spatial Extender UDFs, as well as, the Spatial mapping of the retail space to allowing clustering and time slicing. Time slicing can be by any use measure of time, day, week(s), months, etc. Clustering can be via an isle, within an isle or including proximal or continuous isles. All of the objects defined can be thought of geometric objects including the time slices, Isle and subIsle geometry as well as the products represented as points.

Using this approach one can;

(1) Increase product sales by locating co-selling products or clusters of products,

(2) Define item position and time on shelf with high degree of granularity and correlate time/position with sales information,

(3) This information could also be used to incentive wholesalers who may discount product in order to obtain premium placements,

(4) Information could also be related to traffic management through retail outlets by altering browse/purchase behaviors.

Disclosed is also an approach for mapping retail walkways, i.e. there relationship to she...