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Improving Performance Of Brick & Mortar Stores Using Customer Behavior Analytics Essay

Decent Essays

Improving Performance of Brick & Mortar Stores Using Customer Behavior Analytics

AUTHORS

Mr. Shubham Tapadar: Intellectual property and big-data

Mr. Tejas Arackal: Resource and reference gathering Mr. Prateek Ghate: Feasibility of product and threats Mrs. Swetha Maluvadu Ravi: Financial feasibility
Mr. Bharat Krishen Mehta: Data analytics and marketing

EXECUTIVE SUMMARY

The proliferation of online shopping has significantly altered the retail landscape. While the physical store continues to exist - and even thrive in many cases - the risk of turning irrelevant remains. Millennials - who will constitute a significant percentage of the consumer population in the future - prefer the convenience of online and mobile shopping. When they occasionally do step into the store, it is more likely to experience the product than complete a purchase.

Smart retailers know that the only way to survive the onslaught of multiple channels is to reinvent the store by offering a personalized experience that extends beyond what a consumer gets online. This calls for collection and analysis of consumer and transactional data. It is not just online retailers who are sitting on huge data mounds. Physical stores operating in digitized environments have access to rich shopper data too: Point-Of-Sale systems, loyalty programs, surveillance cameras, and facial recognition systems. They must leverage this data by performing analytics and use the insights gained to improve the store experience

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