Remove 2030 Remove Data Management Remove Examples Remove Inventory
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Overcoming The Barriers to Use Channel Data

Supply Chain Shaman

However, two decades later, there is still no technology solution to enable demand visibility or help companies use channel data to translate demand into an inventory, replenishment, or manufacturing strategy. The decline in inventory turns uses cash. Insights from market data to drive bi-directional orchestration.

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Five Trends That Excite Me!

Supply Chain Shaman

There are many examples in the market. EDI is too cumbersome, and SAP Ariba’s focus, despite the marketing hype, is primarily on managing indirect spending. Master data management and standards are the bane of B2B connectivity. Data today does not move at the speed of business. It only responds.

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Achieve the Environmentally Sustainable Supply Chain Consumers Demand

Logility

With artificial intelligence (AI), you can more accurately forecast demand and optimize inventory through deeper insight that detects shortages, disruptions, and other challenges while allowing you to quickly simulate and evaluate different scenarios. For example, BMW creates its cars from 85% recycled materials.