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Outdoor & Lifestyle · FIRE B2B Platform

B2B Platform for Outdoor & Lifestyle Brands.

Disconnected tools lose seasonal intelligence. A platform captures it. When the fabric browsed at spoga+gafa connects to the NOS restock in July, which connects to the weather-demand correlation, which connects to content ROI — that is when outdoor wholesale becomes data-driven.

The Problem

Why Disconnected Tools Fail for Seasonal Brands

Pre-Order Data Does Not Reach Production

February browsing patterns predict July bestsellers. But if the Sales App and the Portal feed different systems, your production team plans from last year’s orders. The browsing signal never arrives.

Showroom Engagement Disconnected from Orders

The dealer lingered on the terrace lifestyle scene and watched the rain test. That engagement data lives in the showroom system. The order lives in the ERP. Without connection, content ROI is unmeasurable.

Weather Correlation Needs Connected Data

Heatwaves drive NOS spikes. But correlating temperature with order volume requires portal data, weather APIs, and regional dealer data in one system. Three spreadsheets cannot compute this.

The Architecture

How Six Products Connect Through One Seasonal Data Layer

Sales App
spoga+gafa
Sales Table
Terrace planning
B2B Portal
Pre-Order + NOS
FIRE Core
Fabrics · Modules · Weather Specs · Dealer Profiles
Seasonal Pricing · NOS Stock · Content Library
GraphQL API
Showroom
Golden Hour
Remote
International
Analytics
AI + Co-Pilot
Platform Proof

What Happens When Everything Connects

The Bigger Picture

A Platform Is Not Six Products. It Is Six Products That Share One Seasonal Truth.

You can buy a Sales App. You can buy a B2B Portal. You can buy a Digital Showroom. But if they do not share one data layer, the fabric browsed at spoga+gafa does not connect to the NOS restock in July, which does not connect to the weather spike, which does not connect to the content engagement that drove the pre-order.

FIRE is one platform. One data model. One dealer profile. When a garden centre browses fabrics at spoga+gafa, that preference appears when they log into the portal, informs the showroom scene routing, feeds the AI prediction model, and shapes the NOS allocation for their region.

The platform is the tool. The connected seasonal data is the asset. And the asset compounds every season.

Six Products. One Seasonal Data Layer. Every Interaction Connected.

The platform is the tool. The seasonal intelligence is the moat.

See the Platform
Get Started

Talk to Our Team

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.

What Happens Next

1
Discovery Call
Your products, channels, and systems.
2
Custom Demo
Platform configured for your industry.
3
Go Live
Connected to your ERP in 20–40 days.

Own Your Data. Learn From It. Use It With AI.

Trusted by Hugo Boss, Drykorn, LVMH, Bugatti Shoes, Micro Mobility, Mercedes, Binelli Group and 100+ leading brands worldwide.

FAQ

Frequently Asked Questions

FIRE captures every adventure gear sizing interaction as structured data. When a buyer explores adventure gear sizing options on the B2B Portal or Sales App, each selection is logged, analysed, and fed into the AI layer. Over three sales cycles, FIRE predicts adventure gear sizing demand patterns with increasing accuracy — helping outdoor & lifestyle brands optimise production allocation and reduce dead stock by 15-25%. See FIRE Analytics.
Yes. FIRE Connect integrates with 250+ systems including SAP, Microsoft Dynamics, Oracle, and industry-specific solutions for sustainability data. Most outdoor & lifestyle brands are fully integrated within 20-40 days. The integration is bidirectional — orders, stock levels, and sustainability data data flow seamlessly between FIRE and your existing infrastructure. Learn about FIRE Connect.
Most B2B platforms digitise transactions. FIRE captures intelligence. Every buyer interaction across Portal, Sales App, Digital Showroom, and Remote feeds one unified data layer. After three cycles, the AI predicts buyer behaviour, flags churn risk, and recommends assortment adjustments specific to outdoor & lifestyle — including retailer segmentation. This compounding intelligence is what sets FIRE apart.
Typically 20 to 40 days from kickoff to live operation. FIRE has pre-built templates for outdoor & lifestyle including adventure gear sizing, sustainability data, and retailer segmentation workflows. The implementation team, based at our headquarters in Wollerau near Zurich, handles ERP integration, data migration, and buyer onboarding. First structured data flows within the first week.
Absolutely. FIRE supports multi-language, multi-currency, and region-specific pricing — essential for outdoor & lifestyle brands operating across Germany, Austria, Switzerland, and wider European markets. Data is hosted on AWS — with optional Swiss or European hosting available — fully GDPR and Swiss data protection compliant. Our Zurich team supports brands in German, English, and French. Contact us.
FIRE captures six categories of structured data per buyer session: product views, search behaviour, comparison patterns, adventure gear sizing interactions, order composition, and session timing. For outdoor & lifestyle specifically, this includes sustainability data preferences and retailer segmentation patterns. This intelligence compounds — each cycle makes predictions sharper and recommendations more actionable. Explore FIRE AI.
Also available for
Beauty & Cosmetics Fashion & Apparel Food & Beverage Sports Equipment
All Industries →
Global Distribution

Intelligence Compounding Across Every Market. Right Now.

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