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    Market research for one-stop solution in e-commerce industry

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    Market_research_for_one-stop_solution_in_e-commerce_industry.pdf (834.0Kb)
    Date
    2022-03-21
    Author
    Parmeshwar, Vivek
    Nistane, Rasika
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    Abstract
    In a crowded market, almost all of us have a few favourite e-commerce portals which we use for making our purchases. However, there always exists a difference in the various parameters that the portals offer such as the prices, offers, delivery dates, packaging options (gifting options), credit facilities, bank collaborations, return policies, etc. To get the absolute best value from the purchase thus becomes a herculian task when one has to search for it on multiple platforms. This consumes a lot of time as there are multiple parameters to be compared and becomes mentally taxing to keep a count of all of these. Moreover, for products such as clothing,shoes etc., finding a product which has the characteristics which one likes becomes a time consuming process and the individual usually buys it from the portal which he/she first found it or else prefers offline channel for purchase as it would mean less confusion and efforts to find the product. We propose a solution in the form of a portal or an app which would help the individuals to search the product on the portal. The functionality would be similar to what they have it on a ecommerce platform where they could search based on keywords and then move ahead with scrolling through the options and then refining the product search using filters. However, the differentiating factor would be the ability to look at the details such as prices, offers and delivery dates at the same place from multiple websites. This would ensure that one can easily check the various portals and the consumers time and efforts would be saved. Based on these, the customer would be able to place an order on the same portal (our portal) which would then be serviced by the e-commerce portal which is selected by the customer. We believe that it is a major pain point for the customer and the reduced data asymmetry has the ability to enhance the customer experience.
    URI
    http://hdl.handle.net/11718/26430
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