• Siddhita Ashok Bagwe
• Soumya Anil Shenoy
• Kunjal Kiran Shirwalkar
• Gauravi Hemant Tembulkar
• Manya Gidwani

Market Basket Analysis is a useful method of discovering customer purchasing patterns by extracting association or co-occurrences from store’s transactional databases. The information obtained from the analysis can be used in forming marketing, sales, services and operation strategies. The existing system however fails to discover important purchasing patterns from the customer point of view in the current multi-store situations. Providing personalized services to the customers is the main challenge for the supermarket chains these days. To provide this personalization, it is of utmost importance for the retailers to understand the frequency, commonness and understandable patterns of the buys made by frequent customers. The personalization thus provided will be of the form where each revisiting customer is provided with the products he has been purchasing for multiple of his previous buys. Along with the predicted cart, comprising of the previously bought items, the user shall also be provided with the items which were popularly bought by other customers from the aisle similar to the user’s most purchased from aisle.

Cart Prediction, Classification and Regression Tree Algorithm, K- Apriori Algorithm, Market Basket Analysis

"Judicious Analysis of Market Basket using K- Apriori Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.103-107, April-2019, Available :http://www.jetir.org/papers/JETIR1904621.pdf

"Judicious Analysis of Market Basket using K- Apriori Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp103-107, April-2019, Available at : http://www.jetir.org/papers/JETIR1904621.pdf