FIRE AI is not a chatbot. It is not a search engine with a language model on top. It is a system trained on your wholesale data — your orders, your buyer behaviour, your content performance, your size patterns — that surfaces insights no human could assemble manually. And it gets smarter every season.
Every fashion brand talks about AI. Few have the data infrastructure to make it work. AI needs connected, structured, accumulated data. It needs to know what a buyer browsed on the portal, what the rep showed on the Sales App, what performed in the showroom, and what was ultimately ordered — all in one place.
That is exactly what FIRE provides. Every AI capability described on this page is powered by data that flows through FIRE Core — captured at the moment of interaction, connected to a unified buyer profile, and accumulated over seasons. The AI does not guess. It analyses what actually happened.
Fashion has a unique complexity: the same style in different markets needs different size distributions. AI learns from order history per buyer, per region, per category — and pre-fills grids that match reality, not assumptions.
Which styles should return next season? Which colourways performed in which markets? AI analyses sell-through data alongside order data and content engagement to recommend the strongest carry-over selection.
Traditional cross-selling relies on manual rules. The Magic Finder uses product similarity based on images and attributes — so when a buyer adds a tailored trouser, the system suggests coordinating jackets and shirts that actually match.
Before Pitti, before CIFF, before Première Vision — the Co-Pilot analyses which buyers are confirmed, what they ordered last time, which products are trending, and what your team should prioritise. Walk in prepared, not reactive.
Not all buyers are equal. AI segments by ordering pattern, channel preference, size consistency, reorder frequency, and content engagement. Your sales team knows who needs attention, who is growing, and who is at risk.
You invest heavily in lookbook photography, capsule stories, and campaign films. AI connects content engagement to actual orders — which creative investment drives revenue and which does not. Budget allocation backed by data.
There is a misconception that AI in wholesale means replacing sales reps with algorithms. That is not what FIRE does. The best sales reps have decades of intuition, relationship depth, and market understanding that no system can replicate. What AI does is give them superpowers.
When a rep walks into a showroom appointment, the Co-Pilot has already analysed the buyer's last three seasons. It knows which categories grew, which sizes shifted, which content the buyer engaged with on the portal last week. The rep does not need to remember — the system remembers for them. They can focus on what humans do best: building relationships, reading the room, and closing the deal.
The same applies to marketing teams. They do not need AI to create their lookbooks. They need AI to tell them which lookbooks actually drove orders, which capsule stories held attention, and which creative investments delivered return. The Co-Pilot does not replace creative decisions — it informs them with data that was previously invisible.
This is the difference between AI as a gimmick and AI as a competitive advantage. Gimmick AI generates text and images. Competitive AI analyses your proprietary data and surfaces insights that only exist because you captured the interactions. Every season of captured data makes the AI more valuable. Every season without it is intelligence you can never recover.
FIRE captures the data. The AI turns it into decisions. The longer you capture, the smarter the system gets. Start now — the compounding has already begun for your competitors.
See AI in ActionTrusted by Hugo Boss, Drykorn, LVMH, Bugatti Shoes, Micro Mobility, Mercedes, Binelli Group and 100+ leading brands worldwide.
Tell us about your brand, your current B2B setup, and what you are looking to improve. We will show you exactly how FIRE works for your specific situation.
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