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Footwear · Data Strategy

Every Size Grid Your Buyer Fills Is Intelligence.

A single footwear order contains more data than most brands realise — size distributions, width preferences, colourway choices, reorder timing, assortment selections. Without a data strategy, all of it evaporates after the order. With FIRE, every interaction becomes structured intelligence that compounds season after season.

Hidden in Every Order

One Footwear Order Contains 47 Data Points. You Capture 6.

13%
What You Capture Today
6 of 47 data points
Style ordered
Colourway
Size quantities
Width (if applicable)
Price
Delivery date
Styles browsed but not ordered
Colourways compared
Time spent per model
Size adjustments from AI suggestion
Content watched / skipped
... +35 more invisible signals
100%
What FIRE Captures
47 of 47 data points
Style ordered + browsed + skipped
Colourway comparison + winner
Size grid: AI suggestion → buyer adjustment
Width preference per category
Dwell time per model (seconds)
Assortment package selected
Content watchtime + drop-off
Filter sequence applied
NOS reorder timing + frequency
Portal session time + device
Channel (Sales App / Table / Portal / Showroom)
Cross-channel profile accumulation
The Five Layers

What a Complete Footwear Data Strategy Captures

1. Transaction Data

Orders, quantities, sizes, prices, delivery dates, widths. The basics — what was bought, when, how much. Most footwear brands capture this via ERP. But it is only 13% of the intelligence available.

2. Interaction Data

What was browsed, zoomed, compared, and filtered — before the order. Portal sessions at midnight, Sales App presentations, Showroom dwell time. The intent signals behind the transaction.

3. Size-Run Intelligence

Not just what sizes were ordered — but how the AI suggested, how the buyer adjusted, which sizes consistently shift upward in which markets, and which categories have different curves. The data that transforms production planning.

4. Content Performance

Which capsule intro drives trail boot orders? Which material innovation video holds attention? Which lookbook converts for sport specialists? Content engagement tied directly to selling outcomes.

5. Assortment Performance

Which pre-built assortment drives the highest sell-through? Which retailer segments over-order or under-order specific categories? The data that turns assortment planning from guesswork to science.

6. Predictive Intelligence

AI-generated: best performer identification, size curve shifts, reorder timing predictions, Magic Finder recommendations, Co-Pilot order preparation. Data that looks forward, not backward.

Size Intelligence Over Time

How Size-Run Data Compounds Across Seasons

Same buyer, same category. Watch the system learn.

Season 1
Baseline
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Manual entry. No history. Buyer guesses quantities.
Season 2
Patterns
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AI detects: this buyer skews 41–43. Pre-fill accuracy 68%.
Season 3
Prediction
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AI pre-fills with 85% accuracy. Buyer only adjusts 2 sizes. Shift to 42 detected.
Season 4
Intelligence
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AI pre-fills with 92% accuracy. Predicts 42 will overtake 41 next season. Production adjusted.
The Architecture

How Data Flows Through FIRE

Six channels feed one profile. The last step is where intelligence begins.

Channel 1
Sales App
Field visits, Micam, GDS
38 pts / visit
Channel 2
Sales Table
Touch ordering, trade fairs
52 pts / session
Channel 3
B2B Portal
24/7 self-service
24 pts / session
Destination
FIRE Core
Unified buyer profile
0 pts / day
Channel 4
Showroom
3-screen immersive
64 pts / session
Channel 5
Remote & Meet
Virtual selling
30 pts / session
Channel 6
ERP Connect
Closed loop sync
18 pts / sync
Output
AI Intelligence
Co-Pilot, Magic Finder, Size AI
Every season smarter
Data Ownership

Your Size Data Is a Strategic Asset. Own It.

Size-run intelligence is the most valuable data in footwear wholesale. It tells you what to produce, how much, in which sizes, for which markets. After four seasons, it predicts demand shifts before your production planner sees them. After six, it is the single most important competitive asset in your business.

FIRE does not monetise your data. We do not aggregate it across customers. We do not sell insights to third parties. Your buyer intelligence, your size patterns, your assortment performance, your content metrics — it stays in your private cloud, under your control, accessible only to your team.

This is not a philosophical position. It is an architectural one. FIRE Core runs on private cloud infrastructure with your choice of data centre location. Role-based access control ensures every team member sees exactly what they should. Your data is your moat. We help you build it.

The brands that start capturing size-run data now will have an insurmountable advantage in 2–3 years. Not because of the technology — technology can be licensed in a week. Because of the data. Six seasons of accumulated size intelligence cannot be fast-tracked by a competitor who starts later. Every season without a data strategy is intelligence lost forever.

Every Season Without a Data Strategy Is Size Intelligence Lost Forever

The brands that started capturing early now have years of compounding size-run data. The gap widens every season.

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

FIRE captures every size runs interaction as structured data. When a buyer explores size runs 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 size runs demand patterns with increasing accuracy — helping footwear 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 last specifications. Most footwear brands are fully integrated within 20-40 days. The integration is bidirectional — orders, stock levels, and last specifications 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 footwear — including seasonal drops. This compounding intelligence is what sets FIRE apart.
Typically 20 to 40 days from kickoff to live operation. FIRE has pre-built templates for footwear including size runs, last specifications, and seasonal drops 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 footwear 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, size runs interactions, order composition, and session timing. For footwear specifically, this includes last specifications preferences and seasonal drops patterns. This intelligence compounds — each cycle makes predictions sharper and recommendations more actionable. Explore FIRE AI.
Also available for
Fashion & Apparel Sports & Outdoor Beauty & Cosmetics Jewellery & Watches
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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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