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Title:
予測された行動に基づくターゲット化インセンティブの向上
Document Type and Number:
Japanese Patent JP5106016
Kind Code:
B2
Abstract:
A computer implemented system and method employs predictive analysis on purchase data to determine product categories for which a consumer is statistically likely to purchase and either has not purchased or has not purchased at the statistically expected level at a particular retail store or chain of retail stores, and responds by generating a purchase incentive offer for that consumer requiring purchase of a product in the target category as a condition for the consumer obtaining the offered incentive.

Inventors:
Mark Davis
Patrick Venker
Application Number:
JP2007244025A
Publication Date:
December 26, 2012
Filing Date:
September 20, 2007
Export Citation:
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Assignee:
KELLSTRAND, Michael
International Classes:
G06Q30/02; G06Q90/00
Domestic Patent References:
JP2002520689A
JP2000285175A
JP2004220152A
JP2003050942A
JP2002334201A
JP2001243557A
JP2000242723A
JP9251467A
JP2000155682A
JP2002157407A
Other References:
光永 悠紀 他,密度基準に基づく高速な定量的相関規則導出手法,人工知能学会全国大会論文集[CD-ROM],日本,人工知能学会,2005年 6月27日,第19号,1F3-04
Attorney, Agent or Firm:
Tadahiko Ito
Shinsuke Onuki
Tadashige Ito