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

• Published in: 2022 1st International Conference on Computational Science and Technology (ICCST) pp. 1 - 6
• Main Authors: Khasnis, Namratha S, Khasnis, Shubhangi S, Sen, Snigdha
• Format: Conference Proceeding
• Language: English
• Published: IEEE 09.11.2022
• Subjects: Business; Covid-19; Data Analytics; Django; Legged locomotion; Location Optimization; Matplotlib; Optimized production technology; Pandemic; Pandemics; Python; Roads; Safety; Scientific computing; Waste materials; Web Development
• DOI: 10.1109/ICCST55948.2022.10040318

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.