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In-store promotions are a highly effective marketing tool that can have a significant impact on revenue. In this research, we study the question of dynamic promotion planning in the face of Bounded-Memory Peak-End demand models. In order to determine promotion strategies, we establish that a...
Persistent link: https://www.econbiz.de/10012889841
Sales promotions provide an important tool in the retail industry and can have a significant impact on a retailer's revenue. In this paper, we study the trade-off between prediction accuracy and optimization complexity. We introduce a compact set of demand features, which includes the last seen...
Persistent link: https://www.econbiz.de/10012889842
Problem Definition: Retailers have become increasingly interested in personalizing their products and services such as promotions. For this, we need new personalized demand models. Unfortunately, social data is not available to many retailers for cost and/or privacy issues. Thus, we focus on the...
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We analyze how pass-through constrained vendor funds impact promotion planning of both suppliers and retailers. Vendor funds are trade deals in which a supplier offers a retailer a short-term discount on a specific product, encouraging the retailer to discount the product. Past vendor funds have...
Persistent link: https://www.econbiz.de/10012953524
In addition to setting price discounts, retailers need to decide how to schedule promotion vehicles, such as flyers and TV commercials. Unlike the promotion pricing problem that received great attention from both academics and practitioners, the promotion vehicle scheduling problem was largely...
Persistent link: https://www.econbiz.de/10012971307
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Sales promotions are important in the fast-moving consumer goods (FMCG) industry due to the significant spending on promotions and the fact that a large proportion of FMCG products are sold on promotion. This paper considers the problem of planning sales promotions for a FMCG product in a...
Persistent link: https://www.econbiz.de/10014149678
The authors present a detailed case study of how business analytics, prediction models, and optimization methods can be used to improve promotion planning. In it, they describe the entire process, from collecting data to computing promotion recommendations for retailers
Persistent link: https://www.econbiz.de/10013296504