What is supply chain analysis?

Supply chain analysis is the process of evaluating how materials, information, and products move across the supply chain to identify inefficiencies, risks, and improvement opportunities. It helps businesses reduce costs, improve service levels, and make better operational decisions.

What areas of the supply chain should businesses analyze?

The most important areas to analyze are procurement, inventory, logistics, forecasting, and overall supply chain performance. Looking at these areas together gives businesses a clearer picture of where costs, bottlenecks, or service issues are coming from. For example, at Intuendi we helped a complex global distributor improve forecast accuracy to 94% on its top-selling products, reducing stockout risk despite long and volatile lead times.

How does supply chain analysis improve forecasting and planning?

Supply chain analysis helps businesses connect historical sales, inventory data, and external demand signals to make forecasting more accurate and actionable. This leads to better purchasing, production, and replenishment decisions.

Can supply chain analysis help reduce stockouts and excess inventory?

Yes. By analyzing inventory flows, demand patterns, and replenishment decisions, businesses can spot where they are overstocked, understocked, or exposing revenue to unnecessary risk. At Intuendi, we used this approach to help a fast-growing e-commerce retailer reduce stockout rates by 10% while improving protection for high-velocity products.

How can AI strengthen supply chain analysis?

AI can process large volumes of supply chain data faster than manual analysis, helping teams uncover patterns, prioritize actions, and respond more quickly to changing conditions. It is especially useful for forecasting, inventory optimization, and identifying risks before they escalate.