A Swarm-Based Model for Increasing Impulse Shopping in Supermarkets
Dissertation Keywords: Swarm Intelligence, Impulse Shopping, Supermarket
This Thesis Abstract | Dissertation Abstract may be cited as follows:
Zeeshan-ul-hassan Usmani, A Swarm-Based Model for Increasing Impulse Shopping in Supermarkets, MS (Computer Science) Thesis, Florida Institute of Technology, 2006
Thesis Abstract or Dissertation Abstract (Summary):
In 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.
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