Adexa Supply Chain Planning Blog
Attribute-Based Planning for a Green Supply Chain
Adexa solutions deploy attributes to define the characteristics of machines, processes customers and suppliers, in order to mold the solution to a particular environment.
The role of attributes in supply chain planning
Most supply chain professionals and planners think of finished goods when they hear attributes. But attributes are present in every part of the supply chain from suppliers to raw materials, to machinery, products and distribution centers.
S&OP is good, but why not great!
How accurate are your Sales and Operations Planning (S&OP) generated supply plans? Is it accurate enough to be executed without constant user modifications?
Does Your Supply Chain Self-Optimize?
AI and machine learning have had a major impact on how we run our businesses. They have also influenced the way we make decisions in supply chain planning.
Closest Thing to a Crystal Ball – Adexa ML Predictor
Adexa’s Machine Learning Predictor, GENIE©, is designed to predict inefficiencies in the supply chain as well as identifying the main causes of late orders. In its analysis, GENIE© examines not only the internal data but also exogenous data such as weather, season, supplier or customer locations and many others.
Where is the “E” in S&OP (Sales and Operations Planning)?
According to Gartner, there can be no effective sales and operations planning (S&OP) process without an S&OE—Sales and Operations Execution, process. In other words, why make a plan if cannot be executed accurately or cannot be translated into execution?
Seagate Supply Chain Goes Live With Adexa
Adexa’s technology is now deployed for Seagate’s purchasing, production, and distribution planning, across operations expanding over five continents.