Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/20366
Title: Intelligent sales assistant system enhancing shopping experience and customer engagement
Authors: Saha, Bhaskar Jyoti 
Sethi, Megha 
Keywords: Sales assistant system;Customer engagement
Issue Date: 2014
Publisher: Indian Institute of Management Bangalore
Series/Report no.: PGP_CCS_P14_051
Abstract: The digital age has put the consumer in the driver’s seat and there is increasing trend of consumers involving in product / price comparisons across several brands and options, before zeroing in on the product and making the purchase. While most of the information search is done before a consumer walks into a brick-and-mortar store, there are some cases in which a consumer goes to a retail store directly, evaluates a product and then searches for information before making the purchase decision. The proposed in-store intelligent sales assistant system aims to reduce the product knowledge gap by providing information about product features, its reviews and comparisons, thus enabling the shopper to make quicker and informed decision about purchase. The intelligent sales assistant shall save time for customers by pinpointing the exact location of desired product within the store- enhancing the shopping experience for time-starved customers. The system shall also serve the purpose of in-store customer engagement- advertisement, promotions about products, new product launch and fashion trends can be displayed. It shall also capture in-store consumer behaviour- which products were examined / considered by consumers for purchase, which products were most searched in store etc. and this data can be used for CRM initiatives of the retailer.
URI: https://repository.iimb.ac.in/handle/2074/20366
Appears in Collections:2014

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