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Home Decor · FIRE Sales App

FIRE Sales App for Home Decor.

Your rep has 20 minutes with a gift shop buyer at Ambiente. She wants to see the Autumn candle range, compare vessel finishes, check the Christmas pre-order window, and place an order — all before her next appointment. Your rep opens the Sales App: full seasonal catalogue, mood vignettes, scent filters, live pricing, offline ordering. The order is confirmed before the buyer leaves the booth. And 80% of the session intelligence that would have evaporated with handwritten notes is now structured data.

The Problem

Paper Catalogues at Ambiente. Handwritten Notes at Maison & Objet. In 2026.

Your Catalogue Cannot Show a Mood

Home decor sells on mood coordination — candle, vase, cushion, and print as one story. A paper catalogue shows them on separate pages. The rep describes the mood. The buyer imagines. The competitor on the next stand shows it on screen.

Seasonal Windows Are Measured in Days

Christmas pre-orders need to close by July. Your rep at Christmasworld has a 3-day window to capture commitments. Without an app that shows the full seasonal range with live pricing and instant ordering, those 3 days produce notes, not orders.

80% of Booth Intelligence Evaporates by Monday

Which scents did the buyer respond to? Which vessel finishes caught their eye? Which seasonal range got the strongest reaction from gift shops vs department stores? By Monday, 80% of this intelligence is gone. Handwritten notes capture orders, not trends.

A Real Ambiente Session

20 Minutes. One Gift Shop Buyer. What Your Rep Sees in the Sales App.

Not a demo. A real trade fair session where the rep presents moods, filters scents, builds the order, and captures intelligence.

FIRE Sales App · Ambiente · Hall 11.0Session active
1
Rep opens Autumn Warmth mood vignette
Buyer sees candles, stoneware, dried botanicals, and linen coordinated on screen. Not separate pages. One story.
Mood: autumn · Segment: gift shop · Session start
2
Scent filter: amber family · Vessel: ceramic vs glass
Buyer compares hand-poured soy in amber glass against matte ceramic vessel. Selects ceramic. Asks about burn time.
Scent: amber · Vessel: ceramic selected, glass rejected · Spec requested
3
Cross-category: adds speckled vase + linen napkins from Autumn mood
Sales App suggests matching items from the same mood. Buyer adds vase, considers napkins, skips. 2 categories in cart.
Cross-category: candles + ceramics · Suggestion: 1 accepted, 1 skipped
4
Switches to Christmas Luxe · Pre-order window open
Gift candle sets, metallic accessories, advent collections. Buyer pre-orders 6 SKUs for Christmas. Exclusive early-access pricing applied.
Season: Christmas · Pre-order: 6 SKUs · Exclusive tier · Delivery: W38
5
Order confirmed · 2 seasons · 3 categories · 14 items
20 minutes. Autumn + Christmas. Candles + ceramics + accessories. Offline order synced to ERP when WiFi resumes. Full session intelligence structured.
Full session: 2 seasons, 3 categories, 14 items, 4 scent filters, 2 moods, 20 min, buyer profile enriched
Session20 min
Categories3
Scent filters4
Seasons ordered2
Sales App Features

Six Things Your Rep Cannot Do With a Paper Catalogue. And Can Do Tomorrow.

Present by Mood Vignette

Autumn Warmth. Coastal Summer. Christmas Luxe. The rep presents coordinated stories — candle, vase, textile, and print together. Cross-category ordering happens naturally because the buyer sees the mood, not a product list.

Seasonal Pre-Order on the Spot

Christmas collection with live pricing and exclusive early-access tiers. Spring Refresh with new colourways. The buyer pre-orders at the booth, not via email follow-up three weeks later. Pre-order velocity captured per seasonal range.

Scent & Material Filters

Amber, vanilla, citrus, fig. Ceramic, glass, concrete, brass. The rep filters by scent family and vessel material on screen. The buyer sees the range narrow to exactly what they want. Every filter a trend signal.

Segment-Adaptive Pricing

Gift shop MOQs and curated edits. Department store volume tiers. Online marketplace pricing structures. The app adapts the experience per buyer segment. One tool, five commercial models.

Offline Ordering at Any Fair

Full catalogue cached. Orders placed without WiFi. Session data syncs when connectivity resumes. At Ambiente, Christmasworld, or Maison & Objet — your rep never depends on fair WiFi to close an order.

Session Intelligence Capture

Which moods the rep presented, which scents the buyer reacted to, which seasonal ranges got immediate commitment. After one Ambiente cycle, your team knows which trends drive orders by segment. After two, you plan the booth around data.

Style Intelligence

What Your Reps Discover When Every Booth Session Becomes Data

The Bigger Picture

The Rep Who Presents a Mood Outsells the Rep Who Presents a Catalogue. The Data Proves It.

At Ambiente, your rep has 20 minutes with a gift shop buyer from Brighton and 15 minutes with a department store buyer from Stuttgart. The Brighton buyer wants curated seasonal edits — a candle, a vase, a print, coordinated as a gift display. The Stuttgart buyer wants the full autumn range with volume pricing and planogram compatibility. A paper catalogue serves neither properly. A Sales App configured for mood-based presenting with segment-adaptive pricing serves both.

The cross-category impact is immediate. Reps who present by mood vignette — showing the candle alongside the matching vase and textiles — close orders spanning 2.4 categories on average. Reps who present by product category close at 1.1. That 1.3-category gap is not a presentation style preference. It is the difference between selling a candle and selling an atmosphere. The margin difference compounds across every session, every fair, every season.

The intelligence layer is the second advantage. Every Ambiente session generates structured data: which moods the buyer responded to, which scent families they filtered, which vessel finishes they compared, and which seasonal ranges got immediate commitment vs which required follow-up. After one trade fair cycle, your booth planning shifts from creative instinct to evidence. After two cycles, you know which moods to lead with for gift shops, which to show department stores, and which to reserve for online marketplace buyers.

The seasonal timing matters. Christmas represents 38% of home decor revenue. The reps who have the Christmas collection in the Sales App at Christmasworld in June capture pre-orders 4 weeks before competitors who send PDF lookbooks in August. That 4-week gap translates directly into shelf space: the buyer who pre-orders in June reserves display space for your products. The buyer who receives a PDF in August has already allocated that space to a competitor.

The Sales App is the tool. The session intelligence is the asset. And the asset compounds with every fair, every field visit, and every seasonal cycle.

Core Intelligence

Ten FIRE products. One connected intelligence platform.

Tap any product to explore.

10 FIRE products

Your Next Ambiente Does Not Have to End With Handwritten Notes.

Mood presenting. Seasonal pre-orders. Offline ordering. Every session captured as trend intelligence.

See the Sales App
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.

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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