Nissan Brasil, a leader manufacturer of zero-emission vehicles and developer of cutting-edge technologies in the automotive industry, has partnered with Slimstock to streamline its operations following the implementation in its sister company, Nissan Argentina. This collaboration marks a noteworthy step towards supply chain optimisation and operational efficiency.

Founded in 1933 Yokohama, Japan, Nissan offers products and services to more than 160 countries, which are produced by a team of more than 160,000 employees across 20 countries. Committed to “driving innovation to enrich people’s lives”, Nissan Brazil gives its customers exceptional quality automotive products with a cutting-edge technology to create a cleaner, safer, and more-inclusive world.

However, with rising logistics costs and increasing supply chain volatility, Nissan Brazil decided to launch a supply chain transformation project to enhance its supply planning capabilities, inspired by the success of its sister company, Nissan Argentina.

Monique Jones, Aftersales Logistics Coordinator at Nissan Brazil, explains “We saw the impact of Slimstock’s solution in another project within the company. Our team was familiar with it, appreciated its performance, and received positive feedback on its effectiveness managing its ever-growing operations.”

 

A Strategic Partnership for Long-Term Success

By implementing Slimstock’s supply planning solution, Slim4, Nissan Brazil will gain greater control over key performance indicators, lead times, and overall supply chain efficiency. By leveraging the proven interfaces from Nissan Argentina, the project aims to provide a clear path to a seamless implementation, aligning with the company’s upcoming ERP upgrade.

Monique Jones highlights the value of the project: “With this collaboration, we are very confident in replacing spreadsheets with more sophisticated software, enabling us greater control over inventory, lead times, KPIs, and improved metrics tracking. We look forward to significantly improving demand planning accuracy to maximise spare parts availability while also maintaining healthy inventory levels for optimal operations.”