In today's supermarket multi-billion dollar industry, impulse shopping accounts for 2 out of 3 purchases. 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 by RFID and customers feedback to empower customers with products’ sales level leading to an increase in impulse purchases.

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