• Mrudula Pore
• Tejaswini Chavan

With the rapid expansion of e-commerce platforms, advanced recommendation systems have become essential for understanding consumer purchasing behaviors with respect to existing platforms like Blinkit, Zepto, and Swiggy. Instamart used advanced algorithms such as collaborative filtering, deep learning models, and content-based filtering to enhance the user shopping experience. This study evaluates the significance of the Apriori algorithm in comparison with other algorithms that are being used by the platforms mentioned above. The suggested methodology gives meaningful information for inventory optimization , tailored marketing , client segmentation ,This study emphasizes trade-offs between prediction power of other algorithm and simplicity , interpretability of apriori .

Apriori , regression , purchase pattern , behavior , recommendation

"A SURVEY: UNVEIL THE PURCHASE PATTERNS WITH APRIORI ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.d7-d11, March-2025, Available :http://www.jetir.org/papers/JETIR2503302.pdf

"A SURVEY: UNVEIL THE PURCHASE PATTERNS WITH APRIORI ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppd7-d11, March-2025, Available at : http://www.jetir.org/papers/JETIR2503302.pdf