Reducing Environmental Impact through Supply Chain Optimization
Case Study - Honda Trading Asia Co., Ltd. (HTAS)
Expedited Freights 98 % drop
Wasted Stock 90 % reduction
The Customer’s Challenge
Honda Trading Asia Co., Ltd. faced supply chain disruptions that were intensified by the COVID-19 pandemic, leading to supply and demand fluctuations and escalating expediting costs for last-minute overseas express shipments. The company’s reliance on in-house spreadsheets, a legacy system for demand and supply calculations, resulted in data inaccuracies and inefficiencies, which, in turn, led to low on-hand inventory, severe stock shortages, and, on other occasions, wastage from excess inventory holdings.
Our Approach and Solution
Deploying Blue Yonder Solutions for Inventory Optimization, Demand and Supply Planning
Blue Yonder Inventory Optimization and Demand and Supply Planning solutions were implemented to create an integrated, data-driven planning process across the supply chain. By replacing spreadsheet-based calculations and manual planning methods, the company improved forecast accuracy, optimized inventory levels, and gained greater visibility for faster decision-making and response to market fluctuations.
Benefits*1 and Business Impact
Improved Inventory Efficiency
Improved demand visibility and inventory optimization reduced inventory levels by 15%, freeing working capital while maintaining customer service levels.
Reduced Expediting Costs
More accurate forecasting and planning significantly reduced last-minute overseas express shipments, eliminating 98% of unnecessary expediting costs that previously totaled approximately US$1.5 million annually.
Improved Cash Flow Efficiency
Lower inventory requirements reduced working capital tied up in stock, enabling the elimination of a US$30 million bank loan and improving cash flow efficiency.
*1:The stated implementation benefits are estimates provided by the customer. Actual results may vary depending on conditions and operating environments.
Contributions to Sustainability*2
Reduced CO₂ Emissions
More accurate forecasting and inventory planning reduced emergency freight requirements and transportation miles by 15%, contributing to lower CO₂ emissions through more efficient logistics operations.
Reduced Inventory Waste
Optimized inventory management reduced excess and obsolete stock by 90%, minimizing material waste and improving resource efficiency across the supply chain.
*2:The described contributions are based on individual customer case studies and may vary depending on conditions and operating environments. Similar results are not guaranteed for all implementations.