New from Gartner®: "Achieving Logistics AI Success: Build the Digital Foundation First"

Gartner® "Achieving Logistics AI Success: Build the Digital Foundation First" makes a direct case: without clean, unified data, AI in logistics underperforms or fails outright. The report breaks down how logistics leaders gett it right, including how to:

• Assess your organization's readiness to adopt AI in transportation
• Match the right type of AI to the right use case
• Evaluate where your data sits on the logistics data maturity curve

The pressure to prove AI value is real, and the research names the reason so many efforts stall. 40% of logistics leaders say they get limited value from the technology they already own. The systems are in place, but the value isn't coming out, and AI layered on top of that gap will stall as well. 

The prescription is to fix the data first, in house, and then earn the right to apply AI. For a leader already under pressure to deliver, that reads as a multi-year detour.

We see that as a huge opportunity to help. 

The data foundation that Gartner® identifies as a prerequisite is exactly where the right logistics-trained AI can help. Cleaning, normalizing, and unifying messy, fragmented logistics data is the key to building a digital first foundation.

Your TMS, ERP, and WMS don't get replaced or restructured. With the right AI, their output gets better, because the data moving through them gets better.

Download the research and better understand if your data is AI-ready. 

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_{Gartner, Achieving Logistics AI Success: Build the Digital Foundation First, Nathan Lease, Jose Reyes, 28 Jan 2026.}

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