Organizations pursue early AI projects to gauge their potential in supply chain digital transformation. This research helps supply chain leaders responsible for analytics and AI to conduct a due diligence at the onset of an AI project to increase the likelihood of success.
Supply chain analytics leaders without a data science background oftentimes find it hard to vet solution providers and deconstruct their AI capabilities to gauge incremental solution benefits.
Supply chain organizations sometimes underestimate the level of effort and time commitment required to support AI initiatives.
The hype associated with AI can push supply chain leaders to jump into a relationship with a solution provider without a clear understanding of their industry footprint or future roadmap.
Many companies that employ an on-demand transportation management system (TMS) to automate their transportation processes realize double digit savings on their total transportation spend within the first year.