Improving Distribution Channel Relationships in Marketing Through Data Mining and Database Applications
Annotatsiya
This empirical research article delves into the intricate web of relationships between business partners in marketing channels, with a primary focus on the creation of customer value. A comprehensive conceptual model has been meticulously crafted to capture and analyze these interactions. The evaluation of business partner interactions in marketing channels is grounded in the assessment of various critical factors, including trust (KT), period of cooperation (KP), importance of cooperation (KR), dynamics of cooperation (KD), strength of cooperation (KD), and satisfaction with cooperation (KS). The findings reveal that the dynamics of cooperation within the fruit and vegetable industry of Uzbekistan are predominantly driven by the imperative of survival in a fiercely competitive market. These insights have profound implications for marketing channel participants, emphasizing the pressing need to pivot their cooperative efforts towards customer-centric value creation. To enhance distribution channel relationships and effectively navigate this challenging landscape, this research advocates for the integration of data mining and database applications. By leveraging these technologies, businesses operating in Uzbekistan's fruit and vegetable sector can harness valuable insights and synergies that will empower them to reposition their cooperative strategies. The resulting recommendations from this study provide a roadmap for channel participants, guiding them in the direction of creating sustainable value for their customers.