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Home Decor · Wholesale Digitalisation

Digitalise Your Home Decor Wholesale.

Most home decor brands think digitalisation means putting the catalogue online and accepting orders through a portal. That is the first 5%. The remaining 95% is capturing the intelligence that happens around the order — the scent preferences, the glaze comparisons, the seasonal timing, the cross-category exploration, and the buyer segment behaviour that shapes your next collection. Without structured digital capture, 96% of this intelligence decays within one seasonal cycle.

The Problem

A Digital Catalogue Is Not Digitalisation. It Is a PDF With a Login.

Your PDF Catalogue Generates Zero Trend Intelligence

You email the Autumn lookbook to 200 retailers. You know who opened the email. You do not know who browsed amber candles for 38 seconds, compared three vessel finishes, and downloaded the sustainability spec. The PDF is a broadcast. A platform is a conversation.

Trade Fair Intelligence Decays to Zero by Monday

Your team saw speckled matte trending at Ambiente. By the planning meeting in March, that observation is an anecdote, not a data point. 80% of trade fair intelligence evaporates within 72 hours. Without digital capture, every fair is a fresh start.

Seasonal Cycles Without Data Ownership Are Cycles Lost

Every seasonal cycle without structured digital capture is a cycle of trend intelligence you will never recover. A competitor who started capturing two cycles ago has benchmarks, velocity curves, and AI training data. You have spreadsheets and instinct.

The Intelligence Gap

100% of Trend Intelligence Captured. 4% Survives Without Digital Structure. 100% Survives With FIRE.

Trend Intelligence Survival RatePer Seasonal Cycle
Without FIRE
Trade fair
-80%
Showroom
-70%
Phone/email
-95%
📉 4% of trend intelligence survives the season
With FIRE
Portal + App
100%
Showroom + Table
100%
Remote + Meet
100%
📈 100% captured, structured, and compounding season-on-season
Features

What True Home Decor Wholesale Digitalisation Looks Like.

Every Channel Digitally Captured

Portal orders, trade fair sessions, showroom visits, remote presentations. Every buyer interaction structured as trend intelligence. Not just orders. The browsing, the filtering, the comparing, the considering. All of it.

Scent & Material Intelligence Preserved

The scent the buyer browsed, the glaze she compared, the vessel she rejected — preserved as structured data. Not as a rep’s memory that fades by Monday. Intelligence that feeds analytics and AI prediction.

Seasonal Benchmarks That Compound

Every seasonal cycle builds on the last. Christmas pre-order curves vs prior year. Spring velocity benchmarks per buyer segment. The intelligence does not reset. It compounds.

Buyer Profiles That Learn

Every interaction enriches the buyer profile. The gift shop buyer who pre-orders Christmas every July. The department store buyer who needs range planning data in Q1. Profiles that learn, not contacts that age.

ERP Integration in 20–40 Days

FIRE Connect integrates with SAP, Microsoft Dynamics, and all major ERPs and PIMs. Catalogues, pricing, stock, and orders sync in real time. Your ERP handles fulfilment. FIRE handles intelligence.

AI-Ready From Day One

The data FIRE captures is structured for AI from the first session. After three seasonal cycles, FIRE AI starts predicting scent trends, scoring glaze velocity, and modelling seasonal peaks. The foundation is built from day one.

Style Intelligence

What Home Decor Brands Discover When They Digitalise Beyond the Catalogue

The Bigger Picture

A PDF With a Login Is Not Digitalisation. A Platform That Captures Trend Intelligence Is.

Most home decor brands define digitalisation as “our catalogue is now online.” They have a portal with a login, a product grid, and an order form. That is the first 5%. The other 95% — the trend intelligence that happens around the order — remains analogue. The scent the buyer browsed but did not order. The glaze she compared but rejected. The seasonal range she explored but deferred. That intelligence evaporates. Every season, 96% of it is lost.

FIRE digitalises the intelligence, not just the catalogue. Every portal browsing session, every trade fair interaction, every showroom visit, every remote presentation — structured as six types of trend data that persist, compound, and eventually power AI prediction. Digitalisation is not about the order. It is about the intelligence around the order.

The competitive gap is clear. A brand that has digitally captured three seasonal cycles has scent velocity curves, glaze benchmarks, seasonal timing models, and buyer segment predictions. A brand that has digitally captured zero cycles — regardless of how long they have been in business — starts from zero. Time in market does not create a data moat. Structured digital capture does.

The platform is the digitalisation tool. The structured trend intelligence is the outcome. And the outcome compounds with every season, every session, and every buyer interaction that would otherwise have been a handwritten note discarded by Monday.

Core Intelligence

Ten FIRE products. One connected intelligence platform.

Tap any product to explore.

10 FIRE products

Every Season Without Structured Digital Capture Is Trend Intelligence Lost Forever.

Scent data. Glaze intelligence. Seasonal curves. Buyer profiles. Start capturing now.

Start Digitalising
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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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