Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/26329
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dc.contributor.advisorKapoor, Anuj-
dc.contributor.authorGupta, Tanya-
dc.contributor.authorGudikal, Vijay Kumar-
dc.date.accessioned2023-04-12T08:52:21Z-
dc.date.available2023-04-12T08:52:21Z-
dc.date.issued2021-12-14-
dc.identifier.urihttp://hdl.handle.net/11718/26329-
dc.description.abstractThe Indian fashion industry is growing tremendously, and online shopping is shifting the industry to a more advanced shopping experience. But with more and more options available in the online platform, customers face various challenges, and their shortage of time is also creating hindrances in their shopping. With AI enabled online shopping personal assistant, customers would now be able to gain access to latest trends that fit them the best and do not have to go through the hassle of surfing through endless options. Since online cloth shopping in India is majorly dominated by the giants such as Flipkart, Amazon and Myntra, this feature can be incorporated in these platforms as an add on service with the per-transaction charge payment model. Major customer segments that are to be focussed on are working professionals and women of moderate education who have good leisure time.en_US
dc.language.isoenen_US
dc.publisherIndian Institute of Management Ahmedabaden_US
dc.subjectVirtual shopping assistanten_US
dc.subjectVirtual shopping assistant serviceen_US
dc.subjectFashion ecommerceen_US
dc.subjectFashion ecommerce - Indiaen_US
dc.titleFeasibility study for a virtual shopping assistant service for fashion ecommerce in Indiaen_US
dc.typeStudent Projecten_US
Appears in Collections:Student Projects

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