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How generative AI will revolutionize supply chainĀ 

IBM Supply Chain Blog

From demand forecasting to route optimization, inventory management and risk mitigation, the applications of generative AI are limitless. Generative AI, with its ability to autonomously generate solutions to complex problems, will revolutionize every aspect of the supply chain landscape.

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What Is A Pre AND Post-Implementation Case Study: Here Is One For the Cosmetics Industry

Procurement Insights

Savings Potential: 5-10% through route optimization and carrier deals. Corporate Travel and Events: 10% ($7.5 million) Spend Estimate: ~$110 million (5% of indirect spend), for travel and marketing events. Savings Potential: 15-25% by cutting non-essential travel and virtualizing events. utilities).

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The Top 5 Key Supply Chain Capabilities

Skill Dynamics

Volatile markets, as a result of significant geopolitical events, and demand fluctuations, caused by seasonality, can both make demand forecasting a bit more difficult. All of this leads to more effective demand planning which will ultimately benefit the business. There are challenges, however.

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4 Reasons Why You Shouldnā€™t Use TMS from a 3PL

Supply Chain Collaborator

Moreover, these solutions are opaque in terms of data security and redundancy in the event of system disruptions. Want freight and route optimization? Worst of all, there are usually no scorecards or other performance metrics to help the shipper measure and improve on performance. Sorry, one size fits all.

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Any Way the Wind Blows Doesnā€™t Really Matter to TMS Users

Supply Chain Collaborator

Do you even know which event to plan for? Should overall economic activity remain depressed, having a freight and route optimizer is critical to building the most efficient loads and routes , finding backhaul opportunities and planning continuous moves, ensuring the best results are squeezed from each and every transportation dollar.

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The Top 5 Impacts of Artificial Intelligence (AI) in Logistics!

Supply Chain Game Changer

The tech is using data to its full potential to better anticipate events, avoid risks and create solutions. The power of Big Data is allowing logistics companies to forecast highly accurate outlooks and optimize future performance better than ever before.

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How Last Mile Delivery Affects the Supply Chain

The Network Effect

The ability to schedule the order delivery at the point of sale, while considering the cost of delivery and existing delivery routes, requires orchestration with the inbound lead times and outbound route planning. Event management and alerting are also becoming more common for proactive, outbound customer communications.