Enhancing Decision-Making in Small Retail : ML algorithms For Shop Owners

This research reflects on the role of Machine Learning (ML) in making small retail shop owners in India profitable, since they come up with inventory management problems, pricing issues and ways of engaging their customers thus getting better than their competitors. It discusses how, unlike all other apps in the market, "Ganak" is sharpened with a data-driven model and its applications by statistical analysis and ML algorithms. Through the utilization of big data technologies, Ganak intends to assist entrepreneurs who cannot afford the right inputs to improve their decision-making skills. This leads to an increased business efficiency and profitability. The paper has delivered on its objective, by producing findings that prove Ganak’s role in the decision making process, and adopting digital application that will thus lead to economic growth of small retailers in India.