The Smart Forecaster
Pursuing best practices in demand planning,
forecasting and inventory optimization
Improve Forecast Accuracy, Eliminate Excess Inventory, & Maximize Service Levels
In this video tutorial Dr. Thomas Willemain, co–Founder and SVP Research at Smart Software, presents Regression Analysis, a specialized statistical modeling technique to identify and harness leading indicators to achieve more accurate forecasts. Regression analysis is a statistical procedure to estimate the relationship between a response variable and one or more predictor variables. Housing starts, for example, might be a good leading indicator of vinyl siding demand. Tom explains how and when to use regression analysis and works through a practical example.
Smart Software’s Channel Sales Director and Enterprise Solution Engineer, to present three sessions at this year’s Microsoft Dynamics Community Summit North America event in Orlando, FL.
Smart Software, will lead a 30-minute webinar as part of the WERC Solutions Partner Program. The presentation will focus on how a leading Electric Utility implemented Smart Inventory Planning and Optimization (Smart IP&O) as part of the company’s strategic supply chain optimization (SCO) initiative.
The supply chain has become the blame game for almost any industrial or retail problem. Shortages on lead time variability, bad forecasts, and problems with bad data are facts of life, yet inventory-carrying organizations are often caught by surprise when any of these difficulties arise. So, again, who is to blame for the supply chain chaos? Keep reading this blog and we will try to show you how to prevent product shortages and overstocking.