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Qualitative analysis reveals inefficiencies and growth strategies in small-scale auto imports, suggesting path forward for logistics stakeholders.
The study in question looks at a problem of the optimization strategies of functioning of the business of small-scale auto import, where the supply chain is divided, the activity of the auction is also changing, and the customs procedures are unforeseeable. The paper presents some of the bottlenecks in the performance that affect the efficiency and profitability of the business based on the flow of the vehicles after they are sold through the international auction portal to their ultimate delivery onto the local roads. Qualitative methodology is applied, including case studies on independent importers, interviews with experts in transport and logistics, and investigation of transactional data placed by the providers of the services of the auctions and freights. The results reveal that the most inefficiencies are customs clearance and last-mile delivery; this can be blamed on insufficient documentation, valuation process differences, and communication failure. However, the firms that have integrated digital auctioning solutions, third-party logistics (3PL), and centralization of inventory monitoring into their operations recorded impressive growth in lead time and profit margins. The study points to the ease of use of combined streamlined processes, traceability in an open environment, and real-time awareness of the entire supply chain. Such insights give them a platform for enhancing transparency, reducing costs, and broadening operations in a competitive world. The findings give the future direction to future entrepreneurs and other stakeholders in the logistics industry in producing viable yet technologically lean models of imports.
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Ruslan Shadenov Bekbolatovich (2023) studied this question.
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