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AI Solutions and Digital Supply Chains

Supply Chain Management and Analytics

mismatched and missing data between different sources. In addition to traditionally used historical data, it is now possible to include impacts of the hourly or daily changes in weather, promotions, store footfall, customer inventory, and point-of-sale data. uncertainty regarding future demand. 1) UNCERTAINTY.

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Complex costs of transportation

Supply Chain Movement

To anticipate and respond to high customer demand, a modern Transportation Management System (TMS) needs to optimize inventory allocation. By consolidating at the source, several shipments can be combined into one, thereby reducing the number of shipments even before the shipments arrive at the Logistics Service Provider (LSP).