ASSESSING THE EFFECT OF INBOUND LOGISTICS PRACTICES ON OPERATIONAL PERFORMANCE: A CASE STUDY OF HPW FRESH AND DRY LIMITED, ADEISO.

Abstract

This study investigates inbound logistics practices and their impact on operational performance at HPW Fresh and Dry Limited. Garnering a notable 98.9% response rate from 90 participants, the research utilized various analytical tools to present its findings. It focused on three objectives: delineating inbound logistics practices, evaluating their influence on operational performance, and spotlighting associated challenges. This research employs a quantitative, explanatory design to investigate the effect of inbound logistics on the operational performance at HPW Fresh and Dry Limited. The study source data from company records, performance metrics, and structured questionnaire administered to logistics and operation personnel. The population of this study comprises individual involved in the inbound logistics and operational activities at Fresh and Dry Limited, such as drivers, procurement personnel, operational, warehousing, store personnel, information technology and production personnel with a total sampling size of 90. The study uses (SPSS) software version 21 to analyses the data. Key inbound logistics practices surfaced: transportation, inventory management, and warehousing. These practices highlight the company's commitment to efficiency, accuracy, innovation, and agility. Despite HPW Fresh and Dry Limited's evident structural strengths and compliance protocols, challenges persist. These include customer satisfaction variances and delivery challenges, pointing to areas that require attention and optimization. In essence, inbound logistics are more than mere operational tools; they're strategic catalysts for performance. The study offered recommendations emphasizing the importance of technology adoption, continuous training, customer engagement, partnerships, and consistent audits to craft a well-oiled, customer-focused logistics system. Implementing advanced technological solutions, such as AI-driven demand forecasting and real-time inventory tracking, to refine transportation and inventory management process. To aid in promptly addressing any discrepancies, ensuring accuracy in tracking and reporting. Establishing regular training sessions for warehousing and logistics staff. Given the criticality of their roles in ensuring systematic storage, timely issuance and delivery, equipping them with the latest skills and knowledge will foster efficiency and reduce errors. Fresh and dry introduce robust feedback mechanisms, regularly engaging with customers to understand their pain points, and preferences to offer an insight for refining delivery timelines and enhancing overall service quality.