Fit remains the make-or-break factor in digital adoption. No matter how advanced the render or workflow, if a garment doesn’t fit as expected, trust in digital systems quickly erodes.

This spotlight explores where digital fit is already credible, and where it still breaks down. We’ll unpack why fit remains one of the industry’s hardest challenges, what digital tools can reveal that physical fittings often miss, and where fabric behaviour, avatars, and interpretation continue to undermine confidence in practice.

Ultimately, we'll ask what truly changes — for design, development, and the consumer — when digital fit becomes reliable at scale.

More specifically:

• Where do teams genuinely trust digital fit today and where does that trust still break down?

• What does digital fit reveal that physical fittings consistently miss? Where does that insight actually change decisions?

• Where does fabric behavior most often undermine digital fit? Why is this still so hard to resolve in practice?

• What does an avatar actually need to be good at for fit decisions to hold up in the real world?

• Why do some digital fit workflows accelerate decision-making while others stall it?

• Where do teams struggle most to interpret digital fit outputs and why does that gap persist?

• How can the industry align on fit expectations without flattening brand-specific fit DNA?

• If digital fit becomes credible at scale, what actually changes and for whom?