Outdoor wholesale runs on seasons, weather, and dealer relationships. FIRE digitalises the entire cycle — pre-orders, NOS restocks, fabric preferences, weather-correlated demand — and turns every interaction into intelligence that compounds from season to season.
Your rep writes orders on paper. The buyer browsed fabrics, compared modules, and chose pre-order over NOS. That preference journey is captured nowhere. Next season, you start from zero.
The heatwave hits. Orders spike. You do not know which products sell through fastest, which fabrics peak per region, or how weather correlates with demand. NOS restocking is reactive, not predictive.
You produced lifestyle films, workshop footage, and rain test videos. Did the terrace scene drive more pre-orders than the product grid? Without connecting showroom engagement to orders, the answer is a guess.
Four seasons. Four data layers. Each cycle makes the next one smarter.
Every swatch tap, every comparison, every selection captured. After two seasons, you know which fabrics trend per market, per dealer tier, per season phase.
Sellthrough velocity per product, per fabric, per region. Weather-correlated demand models. Proactive restocking instead of reactive phone calls during heatwaves.
Modular systems sell better when configured on screen. Close rates increase because the buyer sees their terrace, not a catalogue photo. Configuration data informs product development.
Garden centres restock aggressively. Designers configure projects. Online dealers order weekends. The portal data reveals who your dealers actually are, not who you assumed they were.
Showroom engagement correlated with pre-orders. Lifestyle terrace scene: 2.1× lift. Workshop film: 1.8×. Product grid: 1.0×. Budget follows data, not instinct.
Pre-order browsing in February predicts orders in March. NOS velocity in June predicts restocks in July. Collection planning shifts from last year’s orders to real-time demand signals.
An online order form is not digitalisation. It is a website. Digitalisation for outdoor brands means capturing structured data across the entire seasonal cycle: which fabrics dealers browse before pre-ordering, which modules they configure, how weather drives NOS demand, which content converts showroom visits into signed orders.
FIRE captures this intelligence across six channels. The spoga configuration, the showroom terrace scene, the evening NOS restock, the Remote session with the Scandinavian chain — all feeding one intelligence layer that compounds every season.
After three seasons, you know which fabrics trend per market, which modules convert per dealer tier, when NOS peaks hit per region, and which content drives pre-orders. That is not an order form. That is seasonal intelligence.
Fabrics, modules, NOS velocity, weather, dealer behaviour — one data layer, compounding every cycle.
Start Your RoadmapTell 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.
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