No Easter Bunny?

Supply Chain Shaman

Analytical innovation and digital transformation drove step-change capabilities within the office and marketing. There is the need for an analytics strategy that can power outside-in, real-time processes using structured AND unstructured data. Or to move from predictive analytics to prescriptive/cognitive capabilities to sense/learn and act? Traditional demand planning uses great statistical modeling to predict the future using order patterns.

Top 25 Supply Chains of 2018

Material Handling and Logistics

The rankings are based on a composite score based on the opinions of Gartner’s analysts; a group of peer voters (mostly supply chain practitioners, professionals and experts; in the interests of full disclosure, I myself am part of the peer panel); some metrics, including return on assets, inventory growth and revenue growth; and a corporate social responsibility (CSR) component score. So the CSR score too is more of a popularity contest than a consistent metric.

50 expert tips on logistics planning and strategy

6 River Systems

Study the needs of your supply chain in order to make informed predictions. “Many manufacturers practice demand-driven logistics, meaning they are focused on their customers’ buying signals. Reassess your demand forecasting model. “Demand forecasts should predict two outcomes: the expected demand and how much uncertainty there is in that prediction. The need to predict demand is fairly obvious. Think about how your warehouse might look in 2030.