چکیده مقاله
This paper presents a comprehensive study on optimizing trade promotions in the footwear industry,focusing on the partnership between Adidas, a renowned manufacturer, and GearWest, a leadingretailer The research explores the application of data driven decision making techniques, machinelearning, and revenue management to design effective trade promotions Utilizing a dataset spanning atwo year period and employing various ML algorithms, we predict demand and assess the performanceof different pricing strategies The proposed model achieves a substantial increase in revenues comparedto traditional off invoice discounts Additionally, we discuss the implications of our findings andhighlight future research targets
کلیدواژهها
نویسندگان
Mohamad Amir Zeynali
MSc , Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran;
Amir Albadvi
Professor, Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran;
شیوه ارجاع
Zeynali, Mohamad Amir and Albadvi, Amir,1402,Data-Driven Trade Promotion Optimization for RevenueManagement in the Footwear Industry: A Case Study of Adidasand WestGear,The 9th International Conference on Industrial and Systems Engineering,Mashhad
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