Analytics to Preserve the Street Vendor Tradition of India and to Optimize profits post Covid-19

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    With the advent of the e-commerce markets, the small businesses in India are experiencing a major hit and a loss of customers. Since the medieval times, India is known for its street markets. It is so prominent that it is a cultural representation, and this prompts a considerable number of people to opt for establishment of business on the streets. During the pandemic, the street vendors are experiencing losses to an extent that they are unable to support their families. Our solution to the problem is a web application called 'Street Vendor Mart'. This aims at helping the hard-working street vendors by marketing their business. Say a citizen is walking on the road and finds a street vendor who is toiling under the sun, seeking to earn even the minimum wage. This citizen can help this street vendor through our application, 'Street vendor mart'. The advertisement posted by the citizen will now be recorded on the site and visible to any person who wishes to do some street shopping. If a user wants to shop for some item for cheaper prices, the user can log in to our site and find a list of street vendors around his location to buy the products. The users can visit the vendors near them, shop from them. Thus our 'Street Vendor Mart' is essentially a virtual mall filled with stores by street vendors If two or more vendors are selling the same category of products in the same location, then the gains will not be up to the mark because of the reduction in demands. As a solution to this, our web application runs Data Analytics to find the optimal location for the vendor to sell his/her category of goods which will maximize their profit.

    Original languageEnglish
    Title of host publication2022 1st International Conference on Computational Science and Technology, ICCST 2022 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages770-775
    Number of pages6
    ISBN (Electronic)9781665476553
    DOIs
    Publication statusPublished - 2022
    Event1st International Conference on Computational Science and Technology, ICCST 2022 - Chennai, India
    Duration: 09-11-202210-11-2022

    Publication series

    Name2022 1st International Conference on Computational Science and Technology, ICCST 2022 - Proceedings

    Conference

    Conference1st International Conference on Computational Science and Technology, ICCST 2022
    Country/TerritoryIndia
    CityChennai
    Period09-11-2210-11-22

    All Science Journal Classification (ASJC) codes

    • Human-Computer Interaction
    • Artificial Intelligence
    • Computer Networks and Communications
    • Computer Science Applications
    • Information Systems and Management
    • Health Informatics

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