The Supply Chain Benefits of AI-Powered Decision Making – Inbound Logistics

The key is making logistics decisions data-driven and, when feasible, automated. By removing bias, intuition, process silos, and manual work from the decision-making process, companies can achieve better outcomes in a relatively short period of time. 

The first step in this journey is to take stock of your companys logistics decision-making processes. Identify the decisions that are siloed, or that rely heavily on manual work these are good candidates for digitalization. 

Next, determine whether its better to augment or support the people making those decisions with real-time insights, or to deliver data-driven recommendations that can be manually or automatically accepted.

Finally, keep in mind that these initiatives will require education to enable adoption, and change management to identify the best processes for each business area. Start with the logistics decisions that have the greatest potential value, then explore how you can scale the use of AI across other decisions or business functions. 

As the pioneers of decision intelligence are showing, the benefits to be gained are significant. More importantly, building intelligent and efficient supply chain ecosystems today helps us prepare for a better, more sustainable future.

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