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Home Decor · B2B Platform

One Connected B2B Platform for Home Decor. Not Six Disconnected Tools.

You already have a portal. You have a sales app. You have analytics somewhere. The problem is not the tools — the problem is that none of them share data. The buyer who browsed amber candles on the portal, lingered on speckled matte in the showroom, and pre-ordered Christmas sets via Remote — in your toolstack, that is three disconnected events. In FIRE, that is one compounding buyer profile. After three seasonal cycles, the difference is structural.

The Problem

Tools Do Not Compound Trend Intelligence. Connected Platforms Do.

Your Portal Does Not Know What Your Rep Showed

The buyer browsed amber candles on the portal. Your rep showed speckled ceramics at Ambiente. Remote presented the Christmas range. Three channels, three data silos, one buyer — but no single view of what she actually wants.

Trend Signals Are Split Across Systems

Scent trends from the portal. Glaze preferences from the showroom. Seasonal velocity from trade fairs. In three separate tools, these signals never connect. In one platform, they compound into trend intelligence that shapes collection planning.

A Toolstack Generates Reports. A Platform Generates Intelligence.

Your portal vendor sends a usage report. Your trade fair app sends a session summary. Your ERP sends an order export. Three reports, no connection. A platform generates one intelligence layer that learns from every channel simultaneously.

The Architecture

Six Products. One Trend Intelligence Core. Every Channel Connected.

Every product feeds the same data layer. Every session enriches every other session.

Trend Intelligence CoreAI · Analytics · Buyer Profiles
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B2B Portal
Evening orders, scent filters, mood browsing
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Sales App
Ambiente sessions, seasonal pre-orders
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Sales Table
Vignette engagement, material swaps
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Digital Showroom
Craft film dwell, mood-to-order paths
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Remote
Regional scent trends, market preferences
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Analytics
Velocity curves, seasonal benchmarks
Features

What a Connected B2B Platform Does for Home Decor Wholesale.

One Buyer Profile Across Every Channel

Portal, trade fair, showroom, remote — one buyer, one profile. Every scent preference, every glaze comparison, every seasonal pre-order from every channel. The rep sees the full picture before the next session.

Compounding Trend Intelligence

Scent trends from the portal. Glaze preferences from the showroom. Regional data from Remote. Seasonal velocity from the Sales App. Four channels, one intelligence layer. Every session enriches every prediction.

Mood Vignettes Everywhere

The same Autumn Warmth vignette on the portal, in the Sales App, on the Sales Table, on the Digital Showroom screens, and in the Remote session. Consistent brand experience. One content layer.

Seasonal Pre-Order Across All Channels

Christmas pre-orders from the portal, from Ambiente, from Remote sessions. One pre-order pipeline. One velocity curve. One production planning view that aggregates every channel.

ERP Connected via FIRE Connect

SAP, Microsoft Dynamics, and all major ERPs. Seasonal catalogues, material attributes, pricing, and orders sync in real time. Your ERP handles fulfilment. FIRE handles trend intelligence.

The Data Moat Compounds Every Season

After three seasonal cycles, the platform advantage is structural. Scent velocity curves, seasonal benchmarks, buyer segment models, and cross-category optimisation — all built on connected data a toolstack can never replicate.

Style Intelligence

What Home Decor Brands Discover When Every Channel Feeds One Platform

The Bigger Picture

A Toolstack Generates Six Reports. A Platform Generates One Truth. The Truth Compounds.

The difference between a toolstack and a platform is not the number of features. It is the data layer. In a toolstack, your portal knows the buyer browsed amber candles. Your Sales App knows the rep showed speckled ceramics. Your Remote tool knows the buyer pre-ordered Christmas sets. Three tools, three data points, three systems that never connect. The intelligence is fragmented. The trend signal is invisible.

In FIRE, those three interactions compound into one buyer profile: she prefers amber scents in ceramic vessels, responds to earth-tone moods, pre-orders seasonal collections early, and her cross-category attach rate rises when she enters via a mood vignette. That profile shapes the next portal recommendation, the next rep session plan, and the next seasonal offering. Every channel makes every other channel more intelligent.

After three seasonal cycles, the compound effect becomes a moat. The platform brand has scent velocity curves per market, mood vignette conversion rates per buyer segment, and seasonal production models per channel. The toolstack brand has six separate reports and a quarterly review. The gap widens with every cycle because connected data compounds and disconnected data does not.

The platform is the structure. The connected trend intelligence is the advantage. And the advantage compounds with every season, every channel, and every buyer whose cross-channel journey adds another data point to your collection planning moat.

Core Intelligence

Ten FIRE products. One connected intelligence platform.

Tap any product to explore.

10 FIRE products

Six Products. One Intelligence Layer. Three Cycles to a Data Moat.

Portal, Sales App, Sales Table, Digital Showroom, Remote, and Analytics — all connected.

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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.

Own Your Data. Learn From It. Use It With AI.

Trusted by leading home decor brands across candles, ceramics, wall art, seasonal décor, and decorative accessories worldwide.

FAQ

Frequently Asked Questions

FIRE captures every material variants interaction as structured data. When a buyer explores material variants 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 material variants demand patterns with increasing accuracy — helping home decor 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 custom finishes. Most home decor brands are fully integrated within 20-40 days. The integration is bidirectional — orders, stock levels, and custom finishes 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 home decor — including project-based ordering. This compounding intelligence is what sets FIRE apart.
Typically 20 to 40 days from kickoff to live operation. FIRE has pre-built templates for home decor including material variants, custom finishes, and project-based ordering 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 home decor 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, material variants interactions, order composition, and session timing. For home decor specifically, this includes custom finishes preferences and project-based ordering patterns. This intelligence compounds — each cycle makes predictions sharper and recommendations more actionable. Explore FIRE AI.
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