The following answers are based on ChatGPT and GISer Liu:
Congratulations on starting your thesis! Here are some suggestions to help you build your thesis outline and algorithm model:
1.0 Introduction
1.1 Research background
1.2 Research Significance and purpose
1.3 Research status at home and abroad
1.4 Research methods and technical routes
1.5 Paper structure
2.0 Data acquisition and processing
2.1 Introduction of data sources
2.2 Data Preprocessing
2.3 Data cleaning and feature extraction
2.4 Data Exploration and analysis
3.0 Coupon distribution strategy analysis
3.1 Coupon Usage analysis
3.2 Coupon Distribution analysis
3.3 Correlation analysis between coupons and commodities
4.0 Data Mining and Modeling Based on Python
4.1 Introduction to Data mining algorithms
4.2 Model establishment
4.3 Model evaluation
5.0 Conclusion and Prospect
5.1 Conclusion
5.2 Prospect of Future Research Direction
For your data, the following are some commonly used algorithm models for reference:

Association rule mining algorithm
This algorithm can dig out the correlation between coupons and commodities, as well as the behavior rules of consumers to buy commodities. 
Clustering based analysis algorithm
This algorithm can classify users according to their purchase behavior, so as to better analyze the coupon placement strategy for different types of users. 
Classification algorithm based on decision tree
This algorithm can classify consumers' coupon use behavior and help you know when and what coupons are more attractive to users. 
Algorithm based on deep learning
This algorithm can carry out deep learning of your data and learn the characteristics and rules of the data through the model to better help you analyze the coupon placement strategy.
Hope the above suggestions can help you, wish you a happy writing!