Optimizing Product Distribution Service Prices: A Fuzzy Mamdani Logic Implementation Case Study at RnD Enterprises Marketing Consultant Office

In the economic process, product distribution is essential for making products available to consumers. Distributors play a crucial role in reaching the target market. However, determining the price for distribution services can be challenging, as distributors often set their own tariff provisions. In this study, the author optimizes product distribution service rates by considering factors such as interest ratio, price per pack, and distribution area coverage, using the Fuzzy Mamdani Logic method. Based on data obtained from the Marketing Consultant Office of RnD Enterprises, the optimized service tariff for an interest ratio of 6.9 pax (medium), a price per package of Rp15000,- (low), and 10 distribution areas (low) is 2% of sales every month. This result is significantly lower than the office’s set rate of 6%. The findings can be utilized as a reference by the office to determine distribution service rates for other products, leading to more informed pricing decisions in the future.