Leveraging Artificial Intelligence for Supply Chain Transformation

In this paper, we Identify and resolve supply chain bottlenecks before they derail your on-time delivery and discuss the importance of using analytics and apply artificial intelligence and machine learning to proactively minimize the effect of disruption.

Minimizing Disruptive Events in the Supply Chain

It’s no surprise that digital transformation tops the list for business enterprises as a high-priority initiative.

Yet, when it comes to the implementation of new technologies that could fuel profit growth, many organizations are trapped by inertia, fearful of breaking an old but familiar model.

In a comprehensive survey of supply chain professionals, conducted in February 2019, 70% of respondents felt that it was important to improve analytics and apply artificial intelligence and machine learning to proactively minimize the effect of disruptive
events along their supply chain.

But in this same group of surveyed professionals, only 29% believed that their organization was using technology to build a competitive advantage.

For companies looking to stand out in this new era, where the winners are able to earn customer loyalty at the lowest possible cost, supply chain visibility is no longer a nice-to-have, but rather a need-to-have.

Table of Contents

WHERE’S MY TRUCK?
Are you delivering on time?
What’s getting in the way of on-time delivery?
How do you fix inefficiencies in your supply chain?

WHAT THE NUMBERS SAY
Accurate data on shipment ETA requires more than GPS
Supply chain evolution starts with greater visibility
Case study: Smithfield Foods

CHOOSING A VISIBILITY PLATFORM
From visibility comes unrivaled business value
Why network size matters
FourKites case study


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