New research commissioned by ABBYY reveals the major challenges faced by Transport & Logistics (T&L) businesses trying to integrate sophisticated Generative AI (GenAI) technology – prompting the use of other AI to improve outputs.
The survey, conducted by Opinium, revealed that nearly a third (30%) of businesses in the T&L sector lacked an AI policy or governance. Managers also complained that they found training harder than expected (30%) and found it difficult to integrate with business processes (25%).
In response, many business leaders addressed these challenges by combining other technologies, with 36% turning to process intelligence, 27% to RAG, and 25% to AI agents to improve outputs, according to the 2025
ABBYY State of Intelligent Automation Report: GenAI Confessions. More than half (54%) also invested in staff training.
Adding these technologies contributed to 100% of T&L respondents ultimately being happy with their GenAI tools. Half (50%) saw cost savings, while 45% saw outputs more aligned to business goals and the same proportion saw better integration into existing systems.
This is reflected in planned investment in AI for 2026, with the average budget expected to increase by 22%. Goals for GenAI use include reducing boring tasks (21%), collecting and monetising data to unlock new revenue streams, and staying ahead of competitors (both 20%) while the most cited goal was to automate tasks to speed up business processes (38%).