The Smart Forecaster
Pursuing best practices in demand planning,
forecasting and inventory optimization
We are often asked what the difference is between these two important performance metrics for inventory planning. While they are both important for measuring how successful a business is in meeting demand, their meaning is very different. If not understood and incorporated into the strategic inventory planning process, inventory will be inefficiently allocated resulting in lower customer service and higher carrying costs. We’ve illustrated the difference in this 4 minute recording using Microsoft Excel.
Smart Operational Analytics automatically calculates historical service levels & fill rates across any item. To see how you calculate these and other operational metrics including inventory turns, supplier performance, and more register below to watch a five minute demonstration. The demo will show how our cloud platform continuously calculates and reports these metrics across thousands of items helping you identify opportunities for service level improvement and inventory reduction.
Ensure inventory policy matches business strategy. Various team members can create their own scenarios, perhaps dividing the work by product line or sales territory. One decision maker can then merge these scenarios into a consensus plan.
Pulling all the data together on the cloud lets you automatically refresh the data every day and always see the full picture. Then you can run analytics to calculate multiple cost and performance metrics and how those metrics would change if you changed key drivers, such as supplier lead times.
This short note is about one way your business can develop a plan to adjust to one of the likely fallouts from the virus: sudden increases in the time it takes to get inventory replenishment from suppliers. Supply chains around the world are being disrupted. If this happens to you, how can you react in a systematic way?