Logility, an AI-driven supply chain management leader, has officially published the results from its Supply Chain Horizons 2025 Market Report: Navigating the Digital Transformation and GenAI Journey in Supply Chain, which provides insights from 500 supply chain executives across the U.S., U.K., DACH, Australia, and India.
Representing companies with a minimum of $500 million in annual revenue, these respondents claim that organizations are still struggling to convert investment into impact in the context of GenAI.
More on that would reveal how the research, which was markedly conducted alongside an independent specialist in market research for the technology sector, Vanson Bourne, effectively explores how organizations use GenAI, where they are seeing results, and what’s standing in the way of transformation.
As for the results, they reveal how 97% of respondents say they are using some form of GenAI, but at the same time, no more than 33% are applying it to supply chain-specific use cases.
Similarly, while 63% of respondents claim their operations are fully optimized with modern technologies, foundational performance metrics showcase that forecast accuracy is currently at just 48%, on-time-in-full (OTIF) settles at 52%, and gross margin sits at 18%.
“The past no longer has to define the future,” said Allan Dow, President of Logility. “However, leaders must close the gap between vision and execution, especially when it comes to unlocking GenAI’s transformative potential.”
Talk about the whole report on a slightly deeper level, we begin from a piece of data claiming that, even though 71% of organizations have fully funded transformation initiatives, 57% deem data quality as a barrier to AI adoption, and 35% struggle to build a business case for AI technology investment.
Next up, we must dig into the lagging reality of cloud adoption. You see, if we go by Logility’s report, 52% say their on-premise platforms hinder progress, whereas on the other hand, only 38% plan to migrate to the cloud within a year.
Another intriguing trend uncovered by this report relates to substandard execution of GenAI priorities. These priorities are currently understood to include transportation/logistics (39%), risk management (34%), and inventory optimization (31%). Having said so, only 18% are using GenAI for order fulfillment and 20% for scenario planning.
Hold on, we still have a few bits left to unpack, considering we haven’t yet touched upon how data security (43%) and lack of trust in GenAI outputs (40%) remain major adoption hurdles.
Rounding up highlights would be a finding which says that, despite the challenges, GenAI’s workforce promise as strong as ever. This translates to 99% of respondents spotting potential to ease labor shortages, 56% saying it accelerates onboarding, and only 20% expecting it to reduce workforce size.
“Trying to execute new supply chain technologies in old ways is a recipe for failure,” said Dow. “The window for creating competitive advantage is still open—but not for long. With the right tools, a little courage, and a lot of heart, supply chain leaders who embrace GenAI and rethink their processes will be able to define the future—not just react to it.”