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Sports & Outdoor · Data Strategy

Data Strategy for Sports & Outdoor Brands.

Your ERP knows what shipped. It does not know which Gore-Tex membrane the dealer compared, which ski boot flex rating they filtered for, which trail running models they bookmarked but never ordered. That is the 87% of dealer intelligence your current systems miss. FIRE captures every tech-spec comparison, every size-run configuration, every ISPO follow-up — structured as filterable outdoor data that compounds with every season.

The Gap

Your ERP Captures 13% of Dealer Intelligence

Transaction data is only the tip. The interaction data underneath is where AI lives.

What Your ERP Knows
0%
Orders placed
Invoice amounts
Delivery status
×Products browsed
×Tech specs compared
×Certifications filtered
×Activity interest
×Content engagement
×Size-run patterns
×Dealer churn signals
What FIRE Captures
0%
Everything ERP knows
Products browsed per dealer
Tech spec comparisons
Certification filter usage
Activity interest heatmap
Athlete content watchtime
Size velocity per dealer
NOS reorder frequency
Pre-order vs NOS ratio
Churn + demand signals
The Flywheel

How Sports & Outdoor Data Compounds Every Season

Four seasons. Four layers. Each builds on what came before.

Q1
Capture
Portal browsing data ISPO appointment signals Tech spec comparisons Certification filters
Outcome: dealer profiles with tech preference baselines
0data pts
Q2
Pattern
Q1 data + NOS reorder velocity + Activity interest shifts + Content engagement ROI
Outcome: which tech features and activities gain momentum
0data pts
Q3
Predict
Q1+Q2 data + Size curve intelligence + Churn risk scoring + Demand forecasting
Outcome: predictive assortments, pre-filled orders, churn alerts
0data pts
Q4
Compound
Full 4-season history + AI assortment recs + Auto NOS triggers + Product dev signals
Outcome: your data asset is now a strategic moat competitors cannot replicate
0data pts
Data Layers

Five Layers of Sports & Outdoor Data

Transaction Data

Orders, invoices, delivery. What your ERP already captures. The baseline — but only 13% of available dealer intelligence.

Interaction Data

Products browsed, tech specs compared, certifications filtered, size grids explored. The 87% your ERP misses. Captured by Sales App, Portal, Table, and Showroom.

Content Performance Data

Athlete film watchtime, tech deep-dive engagement, sustainability story completion. Which content drives pre-orders? Measured per Showroom session and Remote call.

Dealer Profile Data

Tier, activity focus, certification requirements, tech preferences, size patterns, NOS velocity, pre-order ratio. One profile built across all channels over time.

Predictive Data

AI-generated: demand forecasts, churn risk scores, assortment recommendations, NOS triggers, content ROI predictions. Only possible after 2–4 seasons of structured data.

Market Intelligence

Cross-dealer aggregation: which tech features are trending, which certifications are gaining, which activities are growing. Your private market research built from live interactions.

The Strategic Case

Your Data Asset Grows Every Season. Your Competitor’s Does Not.

In sports and outdoor, product differentiation is technical. A dealer chooses your hardshell over a competitor’s because of membrane performance. But the brands that win long-term are not the ones with the best membrane — they are the ones who know which membrane features matter to which dealer types. That knowledge comes from structured interaction data, not from spreadsheets.

FIRE captures this data as a byproduct of selling. Every ISPO appointment, every portal session, every showroom visit, every remote call writes structured data points to FIRE Core. After one season, you have baselines. After two, you see patterns. After four, your AI outperforms any competitor who is still working from gut feel and post-season surveys.

The data asset is not the platform. The platform is the tool. The data asset is four seasons of structured dealer interaction intelligence that no competitor can replicate without investing the same time. That is your moat.

Own Your Dealer Data. Build Your Intelligence Moat.

Every season without structured data capture is intelligence your competitors may be building and you are not.

Build Your Data Strategy

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

Browsing behaviour, tech spec comparisons, certification filter usage, activity interest, content engagement, size velocity, NOS frequency, and churn signals. The 87% of dealer intelligence your ERP misses.
Basic suggestions after one season. Predictive assortments after two. Full demand forecasting and churn detection after 3–4 seasons of multi-channel data.
You do. Your data lives in your private cloud instance. Full ownership, full export capability, no lock-in.
Typically 20 to 40 days from kickoff to live operation, including ERP integration.
No. The B2B Portal runs in any browser. No app, no download, no account setup.
Yes. FIRE integrates with all major ERP systems including SAP and Microsoft Dynamics.
Also available for
Fashion & Apparel Footwear Food & Beverage Jewellery & Watches
All Industries →
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.
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