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Fashion & Apparel · Data Strategy

Your Wholesale Generates Thousands of Data Points.

Every trade fair appointment, every portal session, every showroom visit produces buyer intelligence — product preferences, size tendencies, colourway comparisons, dwell times, reorder patterns. Without a data strategy, all of it vanishes. With FIRE, every interaction becomes structured data that compounds season after season.

What You Should Be Capturing

The Five Layers of Fashion Wholesale Data

Most brands only capture Layer 1. FIRE captures all five — and compounds them.

01
100%

Transaction Data

Orders, quantities, sizes, prices, delivery dates. The basics. Most brands capture this — but it is only 20% of the picture.

Most brands stop here
02
82%

Interaction Data

What was viewed, zoomed, compared, and filtered — before the order. Portal browsing, Sales App flow, Showroom engagement. The intent signals behind the transaction.

03
64%

Content Performance

Which capsules drive orders? Which lookbook styles convert? Watchtime, click-through, and conversion rates for every piece of content. Powered by Co-Pilot insights.

04
46%

Buyer Profile Data

Preferences, size patterns, seasonal carry-over, channel usage, reorder cadence. A profile that deepens across Sales App, Portal, Table, and Showroom.

05
28%

Predictive Data AI

AI-generated: best performers, size pattern suggestions, Magic Finder recommendations, order preparation intelligence. Data that looks forward, not backward.

The Architecture

How Data Flows Through FIRE

Every product captures a different dimension. All flow into one unified buyer profile via GraphQL API.

Sales App

Field visit intelligence — products presented, buyer reactions, size grids, visit notes

30–50 data points per visit

Sales Table

Trade fair data — browsing patterns, colourway comparisons, live order builds

40+ data points per session

B2B Portal

Self-service signals — views, filters, delivery checks, reorders, cart activity 24/7

28+ data points per session

Showroom

Immersive engagement — brand story attention, intro dwell time, comparison-to-order

3-screen immersive capture

Analytics

Pattern recognition — dashboards for Sales, Marketing, Content, Leadership, Co-Pilot

6 stakeholder dashboards

FIRE Connect

Closed loop — orders to ERP, stock back, prices synced, delivery dates updated

0 manual re-entry
All channels → one buyer profile → FIRE Core
The Principles

What Makes a Fashion Data Strategy Work

A data strategy is not a dashboard. It is not a report. It is a deliberate decision about what you capture, how you connect it, and how you use it to make better decisions every season.

Most fashion brands already have data — buried in ERPs, scattered across Excel files, locked inside the memory of sales reps who have been with the company for years. The problem is not a lack of data. The problem is that the data is fragmented, unstructured, and disconnected from the moments where decisions are made.

A real data strategy starts with a simple question: what do we wish we knew about our buyers that we currently do not? The answer almost always includes things like: which styles did buyers look at but not order? Which sizes are consistently adjusted upward in certain markets? Which content actually drives conversion versus which content looks impressive but generates nothing?

FIRE answers these questions by capturing data at the source — at the moment of interaction — across every channel. Not after the fact. Not from a survey. Not from a sales rep's memory three weeks later. In real time, structured, and connected to one buyer profile that deepens with every touchpoint.

Live Buyer Profile

Watch a Buyer Profile Build in Real Time

Every interaction across every channel enriches the same profile. This is what compounding intelligence looks like.

Maison Laurent
Boutique · Paris 6ème
0
Orders
0
Data Points
0
Channels
0
Seasons
Profile Depth
0%
Why It Matters

Data Is the New Competitive Moat in Fashion Wholesale

In consumer retail, the shift happened years ago. Brands that understood their customers — through data, not intuition — won. They personalised. They predicted. They compounded their advantage season after season. The brands that relied on gut feeling and Excel reports fell behind.

Fashion wholesale is going through the same shift right now. The difference is that most wholesale brands have not even started capturing. They still operate on the assumption that what matters is the order — not the thousands of signals that happen before, during, and after the order.

The brands that start capturing now will have an insurmountable advantage in 2–3 years. Not because of the technology — technology can be copied. Because of the data. Data compounds. Intelligence accumulates. Buyer profiles deepen. And none of that can be fast-tracked by a competitor who starts later.

This is not about digital transformation for its own sake. It is about building a data asset that makes your wholesale operation smarter, faster, and more profitable every single season. That is what a data strategy delivers.

The Compounding Effect

Your Data Gets Smarter Every Season

0
Cumulative Data Points After 3 Years
S1
Baseline
0
First orders, first browsing data captured
S2
Patterns
0
Reorder cycles and size trends emerge
S3
Profiles
0
Content performance becomes visible
S4
AI Activates
0
Magic Finder, size patterns, Co-Pilot
S5
Predictive
0
Forward-looking intelligence
S6
Compound
0
Knows buyers better than any human
Every interaction compounds. Every season, the gap between you and non-digital competitors widens.
Data Ownership

Your Data. Your Infrastructure. Your Competitive Advantage.

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 product data, your content performance — 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 — and nothing more. Your data is your moat. We help you build it.

Every Season Without a Data Strategy Is Intelligence Lost Forever

The brands that started capturing early now have years of compounding buyer intelligence. 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

Every buyer interaction across all channels: product views, size selections, comparisons, order quantities, portal browsing, field visit context, content engagement, and dwell time. All structured, all connected to one buyer profile.
In FIRE Core — a private cloud with your choice of data centre location. Your data stays yours. No third-party access. Full data ownership.
Every interaction enriches the buyer profile. After one season, you have a baseline. After two, you have trends. After three, the system knows your buyers better than any individual on your team.
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
Beauty & Cosmetics Footwear Sports & Outdoor 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.
Global Distribution

Intelligence Compounding Across Every Market. Right Now.

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