Your ISPO orders run on paper forms. Your showroom appointments are logged in notebooks. Your tech-spec updates go out as PDF attachments that nobody can search. Every handwritten order is a dealer signal permanently lost. Every PDF spec sheet is a comparison that never compounds. FIRE digitalises your entire outdoor distribution — from Gore-Tex membrane data to ski boot flex matrices to trail running size-run grids.
Handwritten order forms for 400 styles across four categories. Size grids, colour matrices, frame sizes — all on paper. Every form needs re-entry. Every form generates zero interaction data.
60-page lookbooks with specs buried on page 47. No filtering. No comparison. The dealer cannot ask “show me all 3-layer, PFC-free, bluesign jackets under 300g” and get an answer.
Softgoods in one spreadsheet, footwear in another, hardgoods in a third. Version conflicts. No connection to stock or pricing. No AI pre-fill. No learning between seasons.
“I need Trail Pro GTX sizes 41–44, 4 pairs each.” Which colour? Regular or wide? The email generates questions, not orders — and zero behavioural data.
ISPO generates the richest dealer interactions of the year. On paper, that data evaporates by the flight home. Next ISPO, every dealer conversation starts from scratch.
You know what was ordered. You do not know what was browsed, which tech specs were compared, which certifications were filtered, or which activities gained interest. Without interaction data, AI is impossible.
Four phases. Parallel workstreams. Your team sells digitally by next ISPO.
Each season adds depth. Each ISPO adds signal. The intelligence gap widens.
Real-time pipeline across ISPO, portal, and field visits. Pre-order velocity per dealer tier. Category performance per activity. No quarterly spreadsheet assembly.
Walk into every ISPO appointment with dealer history: which activities they focus on, which tech features they value, which certifications they require. Co-Pilot suggests the right assortment.
Which athlete stories drive pre-orders? Which tech deep-dives convert? Content engagement from the Showroom tied to sales outcomes. Creative investment measured by ROI.
Which tech features drive orders? Which certifications are dealbreakers? Which activities are gaining interest? Dealer interaction data informs the next collection — not post-season surveys.
One platform instead of five tools. Managed private cloud. ERP integration handled. Transparent monitoring. No middleware spaghetti between ordering, PIM, and analytics.
Strategic overview across channels, markets, and dealer segments. Data asset growth visualised. The compounding intelligence advantage quantified. One source of truth.
Most outdoor brands think of digitalisation as a one-time project: launch a portal, train the reps, go digital at ISPO. But the brands that gain the real advantage treat it differently. They treat digitalisation as the beginning of a data strategy — not the end of an IT project.
After one season, you have baseline data. After two, patterns emerge: which tech features resonate with which dealer types, which activities are growing, which certifications matter most. After four, AI predicts demand, recommends assortments, and detects churn before the season ends. The brands that started digitalising in 2022 now have four seasons of compounding tech-spec intelligence. A competitor starting today needs four seasons to match — and by then, the leaders are eight seasons ahead.
The question is not whether to digitalise. It is how many more ISPOs of dealer intelligence you are willing to lose before you start.
From kickoff to live in 20–40 days. Every season after that gets smarter.
Start Your DigitalisationTrusted 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.
No generic demos. No slide decks. A real walkthrough with your products and your industry configuration.