Customer stories
Kinaxis helps billion-dollar companies transform their supply chains to achieve breakthroughs.
13-24 of 30 resources
Customer case study
Keysight Technologies’ supply chain management team used Kinaxis RapidResponse to conduct recovery scenarios and resume customer orders just days after a wildfire damaged their headquarters.
Keysight Technologies: Fighting fire with simulations
顧客導入事例
Konica Minolta社は、S&OPプロセスにKinaxis RapidResponseを導入したことで、グローバルサプライチェーンネットワークを迅速かつ包括的に把握する力が大幅に向上しました。
Konica Minolta社：販売業務計画（S&OP）プロセスの合理化
Customer case study
Lippert Components has acquired dozens of companies over the last decade. Learn how the company is using RapidResponse to get a comprehensive view of their growing supply chain.
Lippert Components: Creating a supply chain culture
Customer case study
Watch how Lockheed Martin manages complexity at every level, from handling complicated bills of material to complying with various government regulations, using easy-to-run demand simulations in Kinaxis RapidResponse.
Lockheed Martin: Managing supply chain complexity
Customer case study
MC Assembly used Kinaxis RapidResponse to respond in real-time to changes within their global supply chain, allowing them to manage over 900 end items and over 20,000 different components in a fast-paced environment.
MC Assembly: Real-time supply chain within a high velocity environment
Customer case study
MSD implemented Kinaxis RapidResponse to remove silos in end-to-end supply chain planning across 100 markets spread throughout the world.
MSD: Removing silos in end-to-end supply chain planning
Customer case study
MTD deployed Kinaxis RapidResponse to increase supply chain responsiveness and order promise date accuracy in a seasonal business environment.
MTD: Supply chain responsiveness in a seasonal business environment
Customer case study
Nikon implemented Kinaxis RapidResponse for its Sales and Operations Planning (S&OP) process, which enabled them to move from a monthly S&OP cycle to a faster, more accurate process.
Nikon: S&OP for more accurate and flexible processes
Customer case study
Optimizing Promotion Planning for Rexall
Optimizing Promotion Planning for Rexall
Customer case study
When a grocer wanted to optimize promotion planning for increased financial impact, it chose artificial intelligence demand forecasting to find a plan that increased incremental sales and dollars per item. Learn more.
Promotion forecasting & optimization for grocery
Customer case study
Forecasting for perishable items is challenging for grocers, especially during promotion events. Learn how AI helped one company create accurate demand forecasts at a SKU-Store level, reducing over-forecasting and waste from overstock.
Promotion forecasting to minimize waste
Customer case study
Forecasting for promotions requires retailers to predict cross-product effects on total cart value, which can be challenging. Learn how machine learning helped one customer place more effective promotions, resulting in a 10% incremental sales lift pe...
Promotion optimization for flyer effectiveness
Cut planning cycle in half
RapidResponse has reduced the cycle time for producing a supply plan for operations by half, while allowing for greater supply/operational plan accurary.
IT systems analyst
Large enterprise telecommunications equipment company
Increased efficiency
We’ve seen planner efficiency gains of 40%+ with RapidResponse.
Executive
Large enterprise electronics company
Resources
Optimizing Promotion Planning for Rexall
They chose Kinaxis for good reasons
Most of our customers have SAP® or Oracle® as their ERP systems and execution-backbone. Yet they all came to us to solve an urgent need. Faced with growing volatility, these global leaders found themselves in a new era of surprise and compromise. They needed a better way to manage enterprise-wide planning. Kinaxis delivers on that need. Our RapidResponse platform balances the end-to-end supply chain continuously and instantly. You'll get clarity into all S&OP and supply chain planning areas at once – from a single platform, data model and interface.