FIRE Analytics gives every stakeholder — Sales Management, Marketing, Content, IT, Leadership — a dashboard designed for their decisions. The Co-Pilot layer adds AI: best performer identification, size pattern predictions, assortment recommendations, and content performance scoring. All powered by data from every channel.
Your ERP knows what was shipped. It does not know what was browsed, compared, or abandoned. The size 42 that sold out in 3 days — was that because demand was high or because you under-produced? Without browsing data, you cannot tell.
Your Head of Sales and your Content Manager have fundamentally different questions. Yet they receive the same quarterly export. Relevance drops, usage drops, and decisions stay gut-driven.
You invest in campaign shoots, capsule videos, and material innovation stories. Which content actually drives orders? Which capsule intro holds attention? Without analytics tied to selling data, creative investment is a guess.
Market A orders heavy on 41–43 this season. Next season it shifts to 42–44. Without trend data across multiple seasons, your production planning is always one step behind the curve.
You built a sport specialist assortment of 40 styles. But which styles actually perform? Which size-runs match reality? Which accounts would benefit from a different mix? Without analytics, assortments are set by instinct, not evidence.
By the time the quarterly report is assembled from five different sources, the season has moved on. Footwear operates in tight windows — Micam, GDS, delivery deadlines. Analytics must be real-time or they are irrelevant.
Dashboards show data. The Co-Pilot interprets it. For footwear, that means: which models are best performers by category and market. Which size-runs are shifting — and in which direction. Which assortment packages drive the highest sell-through. Which capsule intros actually lead to orders. And which buyers are growing, declining, or at risk.
Before Micam, the Co-Pilot prepares your team: it analyses which buyers are confirmed, what they ordered last season, which models are trending, and what the recommended assortment should include. Your reps walk into the trade fair with a data-backed plan, not a blank page. After the fair, the Co-Pilot analyses every session and surfaces insights for the next season.
The more seasons of data you accumulate, the more precise the Co-Pilot becomes. By season three, it knows your size curves better than your production planner. By season five, it predicts demand shifts before your sales team sees them. That is the compounding advantage — and it only exists because every interaction across every channel feeds the same intelligence layer.
Products presented, size grids filled, buyer reactions, order values, visit outcomes. Every trade fair appointment and field visit generates 30–50 structured data points.
Browsing patterns, size grid interactions, NOS reorders, cart abandonments. The portal captures demand signals 24/7 — including size preferences at midnight.
Brand story watchtime, product dwell time, colourway comparisons, session duration. The richest data source in footwear wholesale.
Same data capture as in-person. Every remote session enriches buyer profiles and extends analytics coverage to accounts you never see physically.
Order values, stock levels, delivery status, size-run sell-through. The financial backbone. Delta imports keep everything current.
Best performers, size pattern shifts, assortment recommendations, content scoring. AI that turns historical data into next-season decisions.
FIRE Analytics gives every stakeholder the view they need. The Co-Pilot turns size data into production decisions. Updated every second.
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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.
No generic demos. No slide decks. A real walkthrough with your products and your industry configuration.