Artificial Intelligence in the Footwear Sector: How are companies deploying AI?

JUST RELEASED! Read the latest World Footwear Innovation Paper on artificial intelligence in the footwear sector and learn more about where and how companies are implementing it, including three real case studies from Portugal's FAIST project
Artificial intelligence (AI) is moving quickly from a “nice to have” to a practical tool for footwear businesses facing tighter margins and rising sustainability expectations. This innovation paper explains what AI is, how it works in simple terms and where it fits across the value chain. It also addresses common barriers to adoption, from data quality and integration to skills and change management, so readers can identify realistic opportunities.
The report then shows what AI looks like in practice through three FAIST case studies. Olifel focuses on AI-assisted planning and scheduling, aiming to shorten planning cycles and improve schedule adherence by linking decisions to shop-floor execution. In the second case study, ISI pairs AI-enabled planning with circular manufacturing to strengthen operational control and environmental performance. Lastly, MIND brings AI into product engineering and cut-room efficiency, using CAD/CAM upgrades, AI-assisted nesting and 3D printing to reduce time to sample and improve cutting effectiveness.
Taken together, the evidence points to measurable gains when AI is deployed with clear objectives and a disciplined approach. Starting with available data, embedding insights into daily workflows and tracking a small set of indicators such as lead time, schedule adherence, work-in-process, defects and energy can translate into tangible improvements in productivity and resilience.
For companies looking to move from experimentation to results, this paper offers a grounded reference and practical lessons on how to begin, what to prioritise and how to evaluate impact.
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Contents
SummaryIntroduction
How AI Works
AI in the Footwear Industry
Key TakeawaysReferences


















