Year: 2025
Type: article
Abstract: In the automobile industry, negotiation for motor assemblies is a strategic activity aimed at securing competitive costs, sustaining high quality, and retaining supply chain resiliency. To provide normative guidance and to inform negotiation strategies, this paper employs international trade policies, supplier capacity utilization, and retail, e-commerce, and finance knowledge to identify aspects of the problem to attempt to address. The effect of trade agreements, tariffs, financial risk management, and AI steering of procurement is studied. At the same time, procurement teams can analyze supplier production schedules, market conditions, and technological advancements to negotiate better pricing and good terms. Many approaches are used rapidly and widely, like exploiting free trade agreements, reducing the risk of tariffs, optimizing supplier capacity, and utilizing AI for data-driven sourcing strategies. Financial tools like currency hedging and block chain-based smart contracts help with procurement efficiency and risk management. Synthesizing valuable business lessons from the automobile industry through case stories of implementation, this discussion shows why it is effective to negotiate in procurement based on planning and continual learning first. It has important implications for global automobile procurement professionals.
Author: Ganpati Goel
Institution: Tesla (United States)
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4410403335