How long does it take to go live with FIRE?

Typically 20 to 40 days from kickoff to live operation, including ERP integration.

Can FIRE handle our product and variant complexity?

Yes. Brands with 3,000+ SKUs and deep complex catalogues use FIRE daily. Product families, formats, variants — all structured as filterable attributes.

Do our buyers need to install any software?

No. The B2B Portal runs in any browser. No app, no download, no account setup.

Does FIRE integrate with our existing ERP?

Yes. FIRE integrates with all major ERP systems including SAP and Microsoft Dynamics.

Comparison

FIRE vs Generic B2B Platforms: Purpose-Built vs Assembled.

Generic B2B platforms serve every industry. FIRE was built for one mission: turn wholesale interactions into compounding intelligence. The difference is not features on a checklist. It is architecture. A generic platform connects tools. FIRE connects touchpoints into one intelligence layer. That distinction determines whether AI is a promise or a reality.

The Difference

Generic Platforms Digitise Processes. FIRE Generates Intelligence.

Generic Platform

One Size Fits All

Architecture

Modules bolted together. Portal from one codebase. App from another. Analytics added later. Data bridges between modules, not shared by default.

Data

Data stored per module. Portal data in portal database. App data in app database. Creating a unified buyer profile requires custom integration work.

AI is a feature, added to a module. It works on the data that module sees. Cross-touchpoint predictions require data that the architecture does not unify by default.

Showroom

Not included. Showroom, table, and remote are not part of the platform. Physical and digital remain separate worlds with separate data.

Content

Separate DAM or PIM integration. Content lives outside the platform. Distribution to touchpoints is manual or semi-automated through connectors.

FIRE

Purpose-Built

Architecture

One data layer from day one. Every product built on the same foundation. Portal, App, Showroom, Table, Remote — all share one core. No bridges needed.

Data

One buyer profile across every touchpoint. Portal session + showroom visit + field interaction = one unified view. No integration required between products.

AI is a consequence of the architecture. When all touchpoints share one data layer, AI has access to everything. Predictions emerge naturally after three cycles.

Showroom

Built in. Showroom screens, Sales Table, Remote sessions — all part of the platform. Physical and digital interactions generate the same structured data.

Content

Content Suite built into the platform. Upload once, distribute everywhere. Portal, showroom, app, remote — all fed from one library. Always current.

The Architecture Gap

A Feature Checklist Hides the Architecture Beneath.

Shared vs Bridged

A shared data layer means every product reads from the same source. A bridged architecture means modules pass data through connectors. Both can list the same features. The difference is speed, consistency, and whether AI can work.

AI by Design vs AI by Add-On

When AI is designed into the architecture, it has access to every signal from every touchpoint. When AI is added to a module, it sees only what that module captures. Same checkbox. Fundamentally different capability.

Compound vs Accumulate

On FIRE, every interaction makes the platform smarter across all touchpoints. On a generic platform, data accumulates per module but does not compound across the system. Intelligence requires connection, not collection.

Full Comparison

Feature List Looks Similar. Architecture Does Not.

Generic

FIRE

Data architecture

Per module

Shared core

Buyer profile

Per channel

Cross-touchpoint

Physical touchpoints

Not included

Showroom, Table, Remote

Content management

External DAM/PIM

Built-in Content Suite

AI foundation

Module-level only

Cross-platform, 3 cycles

Appointment booking

Third-party tool

FIRE Meet, integrated

Data ownership

Check the terms

Your data, exclusively

Compound intelligence

Data accumulates

Intelligence compounds

Due Diligence

Five Questions That Reveal Whether a Platform Is Real.

Do all products share one data layer or are they connected through integrations?

Shared = platform. Bridged = tools bundled together. This single question separates real platforms from assembled products.

Does AI see data from every touchpoint or only from the module it sits in?

Cross-touchpoint AI requires cross-touchpoint data. If AI only sees portal data, it cannot predict from showroom behaviour.

Are showroom, table, and remote interactions captured as structured data?

If the platform only covers the digital portal, your most valuable interactions — physical appointments — generate zero intelligence.

Is AI trained on my data only, or on all customers' data?

Shared AI models dilute your competitive advantage. Your buyer behaviour should train a model that serves only you.

Does adding a new touchpoint require a new integration project?

On a real platform, adding a product is like plugging into an existing foundation. If every addition requires integration work, it is a tool stack, not a platform.

FAQ

Frequently Asked Questions

Which generic platforms are you comparing against?

This comparison applies to any B2B platform that assembles modules through integrations rather than building on a shared data layer. Specific vendor names are less relevant than the architectural question: shared core or bridged modules? Ask the five questions above and the answer becomes clear.

Can a generic platform become a real platform over time?

Theoretically yes, but architecture is very difficult to change after launch. A platform built as bridged modules carries that architectural debt forward. Migrating to a shared data layer typically requires a fundamental rebuild. The architecture decision is made once, early, and it determines everything after.

What if a generic platform has more features than FIRE?

Feature count is not the differentiator. Architecture is. A generic platform might have 200 features across 10 modules. But if those modules do not share one data layer, the features cannot generate cross-touchpoint intelligence. FIRE has fewer modules but they compound into something no feature list can replicate.

Is FIRE only for fashion brands?

FIRE was born in fashion and lifestyle but the architecture serves any B2B wholesale vertical. The core value proposition — connected touchpoints, structured data capture, AI from three cycles — applies to FMCG, food and beverage, consumer electronics, and any industry where brands sell through wholesale channels.

How do I evaluate platforms objectively?

Ask the five questions in the checklist above. Request a live demo that shows cross-touchpoint data flow, not just individual module features. Ask to see a unified buyer profile that spans portal, showroom, and field. Ask where AI gets its data from. The answers reveal the architecture.

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

Discovery Call
Your products, channels, and systems.

Custom Demo
Platform configured for your industry.

Go Live
Connected to your ERP in 20–40 days.