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dc.contributor.advisorMenezes, Ronaldo
dc.contributor.authorUsmani, Zeehan-ul-hassan
dc.date.accessioned2013-11-14T19:25:20Z
dc.date.available2013-11-14T19:25:20Z
dc.date.issued2009-04-22
dc.identifier.citationUsmani, Z. (2008). A swarm-based model for increasing impulse shopping in supermarkets (CS-2009-01). Melbourne, FL. Florida Institute of Technology.en_US
dc.identifier.otherCS-2009-01
dc.identifier.urihttp://hdl.handle.net/11141/175
dc.descriptionA thesis submitted to Florida Institute of Technology in partial fulfillment of the requirements for the degree of Master of Science in Computer Scienceen_US
dc.description.abstractIn today's supermarket multi-billion dollar industry, impulse shopping accounts for 2 out of 3 purchases. The phenomenon is so prominent that some consider high levels of it to be a disorder in the same group as Pyromania (the impulse to burn things) and Kleptomania (the impulse to steal). Despite the current situation, most retail stores attempt to benefit from the fact that people are impulsive in nature as a way to maximize their profits. In order to improve on current levels of sales, retail stores and supermarkets need to look at out-of-the-box to solutions that may, at first, not appear useful. One such approach is the study of levels of self-organization in people while they are doing their shopping. This thesis discusses the status-quo of supermarket optimization and leaps into how a supermarket simulation can use real-time information about customer purchases. And apply models inspired in swarm intelligence to empower customers with products sales level leading to an increase in impulse purchases.en_US
dc.language.isoen_USen_US
dc.rightsCopyright held by author.en_US
dc.titleA swarm-based model for increasing impulse shopping in supermarketsen_US
dc.typeTechnical Reporten_US


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