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Fashion & Apparel · B2B Platform

Not Another Tool. A Platform That Owns Your Data Layer.

Most fashion brands stack tools — a webshop here, a CRM there, a PDF catalogue app, a separate analytics dashboard. Each one creates a silo. FIRE is different. It is one platform with one data layer, where every product reads from and writes to the same buyer profile, product record, and order history.

Platform vs. Tools

Why Fashion Brands Need a Platform, Not More Tools

Tools Create Silos

Every standalone tool stores data in its own format, its own database, its own logic. Your Sales App does not know what your portal captured. Your CRM does not know what happened at the trade fair. Silos multiply with every tool you add.

Platforms Create Compound Intelligence

When every interaction — from the portal, the Sales App, the Sales Table, the Showroom — writes to the same buyer profile, intelligence compounds. Season after season, the system knows more. Tools reset. Platforms accumulate.

Tools Require Integration

Connecting five tools means maintaining ten integrations. Each one breaks, drifts, or falls behind. A platform removes the problem entirely: one system, one data model, one API. Zero integration debt.

Platforms Scale with You

Add a new market, a new brand, a new channel — the platform extends. New tools mean new contracts, new integrations, new data silos. A platform grows. A toolstack fragments.

Tools Lose Context

When a buyer browses the portal at 11 PM and then meets your rep at a trade fair, the rep should know what the buyer browsed. With tools, they do not. With a platform, every touchpoint is one continuous conversation.

Platforms Enable AI

AI needs connected data. The Magic Finder, the Co-Pilot, size pattern suggestions, best performer analysis — none of these work on fragmented tool data. They need one unified data layer. That is what a platform provides.

System Architecture

How FIRE Is Built

Three layers. One data model. Every product connected.

Your ERP
System of Record
Integration Layer
FIRE Connect
Middleware 3.0 — Delta imports, real-time sync, flexible scheduling
ERP SyncOrder ResponseStock LevelsPricing
Central Data Hub
FIRE Core
CMS + PIM + DAM — one backend for all product data, buyer profiles, content, and analytics
PIM
DAM
CMS
Analytics
Co-Pilot
GraphQL APISSO / SAMLContent SuitePrivate Cloud
Distribution Layer
Sales App
Sales Table
B2B Portal
Showroom
Remote
Analytics
Inside FIRE Core

What the Central Data Hub Manages for Fashion

Product Information (PIM)

Every style, variant, colourway, size grid, price point, delivery date, and product attribute — managed centrally. Individual size grids per category. Custom attributes per brand. Regional pricing and promotions.

Digital Assets (DAM)

Campaign imagery, product photography, lookbook visuals, and videos — stored, optimised, and distributed. Batch upload, automatic image conversion, tag-based archiving. One library for all products.

Content Management (CMS)

Topics, capsules, lookbooks, intros, landing pages — all managed in one backend. Content is created once and distributed to Sales App, Portal, and Digital Showroom simultaneously. Drag-and-drop editor with live preview.

Buyer & Customer Data

One buyer profile across all channels. Order history, portal browsing, field visit data, size preferences, wishlist items, and interaction timeline. The profile deepens with every touchpoint.

Analytics & Co-Pilot

Dashboards for Sales Management, Marketing, Content, IT, and Leadership. Brand-specific analysis, content performance, best performer highlighting, and order preparation insights — all powered by FIRE Analytics and the AI Co-Pilot.

Permissions & Security

Role-based access control, multi-tenancy, SSO via SAML, WAF protection, 30-second backup intervals, and automated monitoring. Private cloud infrastructure with choice of data centre location.

Stop Stacking Tools. Start Building Intelligence.

One platform. One data layer. Every interaction captured. Every season smarter than the last.

See the Platform Live

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