Enhancing Retailer Auctions and Analyzing the Impact of Coupon Offers on Customer Engagement and Sales Through Machine Learning
- Title
- Enhancing Retailer Auctions and Analyzing the Impact of Coupon Offers on Customer Engagement and Sales Through Machine Learning
- Creator
- Jayadharshini P.; Sharon Roji P.C.; Lalitha K.; Santhiya S.; Keerthika S.; Abinaya N.
- Description
- Systems that use coupons have been used extensively to boost customer interaction on platforms having a digital component. We use causal machine learning techniques to determine the effect of an advertising intervention, especially a discount offer, on the bids of a shop. Discount shopping coupons are a popular tactic for increasing sales. The largest challenge for dealers is accurately anticipating the wants of their customers, and here is where they always struggle. Machine learning algorithms have been utilized by researchers to address a variety of problems. Selecting the right coupon is a challenging undertaking because every customer's behavior differs depending on the deal. Due to categorical data adjustments being necessary due to the majority of characteristics having missing values, the situation is made more difficult. The dataset is used to classify the dataset, and machine learning algorithms like logistic regression, random forest and SVM model, decision tree and naive bayes models are used to determine the correctness of the classification. 2023 IEEE.
- Source
- 2023 Intelligent Computing and Control for Engineering and Business Systems, ICCEBS 2023
- Date
- 2023-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Classification; Coupon Campaign; Coupon Code; Customer Behavior; Machine Learning; Prediction
- Coverage
- Jayadharshini P., Department of Artificial Intelligence, Kongu Engineering College, Tamilnadul, Erode, India; Sharon Roji P.C., CHRIST(Deemed to Be University), Department of Computer Science and Engineering, Karnataka, Bangalore, India; Lalitha K., School of Engineering and Technology, Christ(Deemed to Be) University, Department of Cse, Bengaluru, India; Santhiya S., Department of Artificial Intelligence, Kongu Engineering College, Tamilnadul, Erode, India; Keerthika S., Department of Artificial Intelligence, Kongu Engineering College, Tamilnadul, Erode, India; Abinaya N., Kongu Engineering College, Department of Artificial Intelligence, Tamilnadul, Erode, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835039458-0
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Jayadharshini P.; Sharon Roji P.C.; Lalitha K.; Santhiya S.; Keerthika S.; Abinaya N., “Enhancing Retailer Auctions and Analyzing the Impact of Coupon Offers on Customer Engagement and Sales Through Machine Learning,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/19686.