Data-driven Smart Sales Offer for Shop
Authors: Deven Dukale, Yash Nandre, Nayan Wagh, Kunal Magar
Abstract: This abstract introduces an innovative approach to revolutionize sales strategies through the utilization of data-driven techniques and machine learning algorithms. The primary focus is on tailoring sales offers to individual customers by analyzing their previous product interactions and purchase histories. By leveraging machine learning, the system intelligently determines the optimal discount percentage for each product based on the customer's preferences and behaviors. This personalized approach ensures that discounts are not arbitrary but aligned with each customer's unique tendencies. Moreover, the system introduces a multi-tiered discount system for customers who have previously enjoyed 10% or 15% discounts on certain products. By analyzing purchasing patterns and frequency, the system recommends tailored discount percentages, fostering customer loyalty and encouraging continued engagement. This system underscores the potential of data-driven sales strategies enhanced by machine learning to reshape the sales landscape, increase conversions, and cultivate enduring customer-brand relationships new dataset that are fairly consistent with actual values.
Keywords: Data-driven Techniques, Machine Learning, Sales Strategies, Customer Engagement
Paper Id: 230375
Published On: 2023-11-17
Published In: Volume 11, Issue 6, November-December 2023
Cite This: Data-driven Smart Sales Offer for Shop - Deven Dukale, Yash Nandre, Nayan Wagh, Kunal Magar - IJIRMPS Volume 11, Issue 6, November-December 2023.