SBIR/STTR Research Award

SBIR Phase II: Predicting Behavior in Electronic Commerce Environments

Award identifier 977e7bd39e3c880cd8f543ffadc67fcba70de62708cdaf0c1c7714ecda7ddc3eAwarding agency National Science Foundation

Award amount

$500,000

Program and phase

SBIR · Phase II

Award year

2009

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
VueLogic LLC
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
NSF 07-586
Topic code
IT

Research abstract

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). This Small Business Innovation Research (SBIR) Phase II project involves the examination of consumer consumption behavior across multiple on-line domains to predict those items to be most likely consumed in the next interchange and the terms under which they will be consumed. The proposed innovation utilizes a persistent key technology to examine multiple attributes of identity to establish a unified identity that links individuals across multiple domains. Once linked the unified identity serves as the basis for the aggregation of consumption behavior (purchases, content, ads clicked through, invitations extended, etc.). The aggregated data establishes the consumer?s digital footprint and serves as the basis for creating highly-predictive models. The models analyze the actual consumption behavior to establish consumption propensity and terms of consumption on an industry segment level. The results of the propensity models will be returned to the client at the time of interaction to make up sell / cross sell offers that are most likely to result in action by the consumer. The result for the client is increased revenue for the transaction and the result for the consumer is increased satisfaction through the relevance of the offer. The broader impact of the proposed innovation involves three aspects: Accelerating economic expansion, identifying potential domestic terror threats and identifying potential on-line predatory activity. The ability for a retail or social network to identify the consumption preferences of their customers and offer those items during an interaction increases the likelihood that a customer will purchase the offered item due to its relevance. Such expansion of customer spending will assist organizations in increasing inventory turnover, improving sales and overall economic health. Identification of potential domestic terror threats through the examination of cross domain purchasing behavior of linked identities. Intelligence Services could establish purchase combinations that when combined could result in a potential treat and take appropriate early intervention action. Identification of potential on-line predators through the use of persistent key technology to highlight those individuals whose established identity on other domains is materially different from a current registration. This permits the organization to establish higher authentication requirements for those individuals and in so doing protecting itself and in the case of Social Media its members (specifically minors).

Technology keywords

Not reported

Agency intelligence

National Science Foundation

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