In a claimed automotive industry first, Mazda Motor Corporation will launch its Mazda Materials Management Planning (M3P) advanced inventory control system throughout Japan in April 2005.
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As part of the ongoing evolution of its stock management system, M3P enables optimised inventory levels, improved supply efficiency and streamlined business practices for Mazda retail and service operations in Japan.
Customers will reap the benefits of better service and faster response times. The rollout of M3P is the first in a series of gradual deployments around the world in an effort to create the auto industry’s leading inventory control management system.
Mazda claims to be the first company in the automotive sector to introduce the point-of-sale (POS) system for the purpose of inventory control. The M3P system will cover 240,000 parts.
POS inventory control will enable the M3P architecture to manage standing inventory at parts franchises, implement multi-level inventory control, and revamp demand forecasts.
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By GlobalDataPOS management automates inventory control for more efficient use of existing dealer methods of customer handling and finance, achieving greater work efficiencies. Specifically, each dealer’s range of products and parts inventory will be periodically reviewed to promote needs-based control without any manual input. This enables 90% of regular maintenance at dealers – parts replacement or vehicle checkups for example – to be performed within one hour. Trials have already been completed in Japan and full nationwide rollout starts in April 2005.
Parts inventory historically has been managed independently at each dealer, each parts distributor, and at Mazda Motor Corporation itself. M3P’s multilevel inventory management enables better demand forecasting and optimised inventory management at all three levels by tracing customer orders throughout the supply chain from the point of sale at the dealership through the entire operation.
Based on three-plus years of order performance data, M3P can handle demand fluctuation. It has improved accuracy for demand forecasting – up to one year in advance. This reduces surplus inventory and improves delivery time, and an aim of 98% or higher fill rate.
