AI in logistics is enabling organizations to optimize routes, improve warehouse operations, predict equipment failures, and enhance customer experiences. But as AI adoption accelerates, a critical question remains:
If you're an engineering, technology, digital, or AI leader within a logistics or transportation organization, we invite you to participate.
Complete the 10-minute assessment to receive:
Your responses are confidential and will only be used to generate aggregated industry insights.
Many logistics companies have experimented with AI, but far fewer have built the engineering foundations needed to deploy, scale, and maintain AI solutions in production. Data quality, system integration, governance, engineering practices, and operational adoption all play a critical role in determining whether AI delivers measurable business value.
To help answer this question, we've launched the AI Engineering Maturity Index: one of the first industry benchmarks focused specifically on AI engineering maturity in logistics.
Developed in collaboration with Russ Felker, a technology leader with more than 30 years of experience driving technology transformation in the logistics and transportation industry, the assessment provides engineering and technology leaders with a practical framework for evaluating their AI readiness.
Understanding your AI engineering maturity helps you identify strengths, uncover capability gaps, and prioritize investments that accelerate successful AI adoption.
The assessment evaluates five critical dimensions:
Together, these areas determine how effectively an organization can build, deploy, and scale AI solutions.
