The New Must-Haves for Supply Chain Resilience

As global market volatility and disruptions increase, it has become nearly impossible for organizations to predict changes in supply and demand patterns. As a result, businesses risk bleeding billions in value—through lost sales, increased supply chain costs, inventory challenges and lower organizational productivity. Revenue, profit and customer satisfaction are on the line, along with sustainability goals critical to reducing environmental harm.

As organizations struggle to maintain consistently high performance in the midst of perpetual chaos, it is clear that improving supply chain resilience is the key to future growth and success.

The Journey to Improve Supply Chain Resilience

If resilience is the key, existing solutions fall woefully short. Disparate data and siloed systems that force a sequential approach have hit a performance plateau—they’re simply not adequate to address today’s complexity, volatility and demand for scale.

In an effort to accelerate high-quality decision making and execution, organizations are beefing up investments in artificial intelligence (AI) and machine learning (ML). But unless these technologies are smoothly integrated into existing business workflows and processes, the results will always fail to meet expectations. Planners will continue to struggle, execution will fall short and, as a result, revenues, margins and customer experience will suffer.