The Smart Forecaster
Pursuing best practices in demand planning, forecasting and inventory optimization
What is to blame for having too much of the stuff you don’t need and not enough of the stuff you do need? Demand and supply variability are often blamed. These problems are significant and seems impossible to overcome leaving many organizations to simply accept misallocated stock as a cost of doing business. However, the real problem it isn’t simply late supplier deliveries and unpredictable demand. These are supply chain planning “facts of life” and it’s how your company addresses them that counts. Watch Greg Hartunian’s vlog to hear his thoughts and what you can do about it.
Smart Inventory Planning and Optimization automatically calculates the stocking policy that yields the best return for your business considering holding costs, ordering costs, and stock outs. To see it in action, register below to watch a 12 minute demonstration.
Physics at the quantum level is quite weird – not at all like what we experience in our usual macroscopic life. Among the oddities are “superposition”, “entanglement”, and “quantum foam.” Weird as these phenomena are, I cannot help seeing analogs in the supposedly different world of supply chain management.
An inventory professional who is responsible for 10,000 items has 10,000 things to stress over every day. Double that for someone responsible for 20,000 items. In the crush of business, routine decisions often take second place to fire-fighting: dealing with supplier hiccups, straightening out paperwork mistakes, recovering from that collision between a truck and the loading dock.
Consider what is meant by “demand management”, “demand planning”, and “forecasting”. These terms imply certain standard functionality for collaboration, statistical analysis, and reporting to support a professional demand planning process. However, in most ERP systems, “demand management” running MRP and reconciling demand and supply for the purpose of placing orders