• Toleti Yamuna Satya Bhadravathi
• Pinnamaraju.T.S.Priya

These days, Big Marts and shopping centers' gather sales information for each individual item in order to estimate future customer demand and modify inventory control. These data stores in a warehouse contain a sizable number of customer records and specific item information. With data mining, anomalies and recurring patterns are also found in data warehouses’ data storage. The generated data can be used by companies like Big Mart to forecast future sales volume using a variety of machine learning techniques. In this study, we proposed the use of linear regression and random forest analogies to provide an effective analysis and prediction of big-mart data. For data virtualization, we employ the most recent machine learning techniques, D tale and Pandas profiling. Last but not least, hyper parameter tweaking is used to help you choose important factors that will make antilogarithm shine and produce the greatest outcomes. We also employ a web interface method to quickly access and forecast consumer product sales. There is no sales. And to get a better predictive, hyper-tuning strategy to model performance, we employ the ensemble technique. Future sales forecasting is a crucial component of any organization Effective forecasting of future sales enables businesses to create and enhance company strategies and get relevant market knowledge. Only because of the rapid expansion of international malls and online shopping is the competition between various malls and large supermarkets becoming more serious and fierce every day. Every shopping Centre or market tries to give customized limited-time deals to draw in more clients based on the day so that the volume of sales for each item can be forecasted for inventory management of the organization, logistics, and transport services, etc.

Big Marts,shopping centers,machine learning,Dtale,linear regression, Pandas profiling, hyper parameter tweaking, ensemble technique, sales forecasting, inventory control, customer demand, market knowledge, customized deals, logistics.

"ASSEMBLING A MODEL FOR MARKET ANALYSIS AND SALES PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.f638-f646, March-2023, Available :http://www.jetir.org/papers/JETIR2303584.pdf

"ASSEMBLING A MODEL FOR MARKET ANALYSIS AND SALES PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppf638-f646, March-2023, Available at : http://www.jetir.org/papers/JETIR2303584.pdf