Home & Furniture

Your catalog says "sectional sofa, gray." Your customer typed "cozy couch for movie nights in a small apartment."

Beam enriches every furniture listing with style context, space intelligence, and lifestyle vocabulary — so buyers find pieces that fit their life, not just their search bar.

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RAW CATALOG DATA
L-shape sectional sofa product photo
title:L-Shape Sectional Sofa
color:Gray
material:Polyester blend
style:null
fits:null
AI-ENRICHED KNOWLEDGE
L-shape sectional sofa — enriched
title:Modern L-Shape Sectional Sofa — Charcoal Gray
category:Sofas > Sectionals > L-Shape
style:Modern minimalist, Scandinavian-influenced, clean lines
fits:Small-to-medium living rooms, studio apartments, open floor plans
lifestyle:Movie nights, pet-friendly fabric, easy to clean

Enrichment

What Beam adds for Home & Furniture

Three layers of AI analysis turn every listing into a rich knowledge node — structured, contextual, and discoverable.

Layer 01

Design Intelligence

Beam classifies every piece by aesthetic, material quality, color palette, and design movement — because "gray sofa" tells you nothing about whether it fits your living room.

Style: mid-century modern, farmhouse, industrial, japandi
Color palette: warm neutrals, moody darks, coastal whites
Material: performance fabric, top-grain leather, bouclé
Design DNA: tapered legs, track arms, channel tufting
Layer 02

Space & Fit Context

Beam understands that furniture lives in rooms, not in a vacuum. Every piece gets tagged with the spaces, layouts, and room sizes it actually works in.

Room fit: studio apartment, open-plan living, formal lounge
Scale: apartment-sized, oversized comfort, space-saving
Configuration: reversible chaise, modular, wall-hugger
Doorway check: passes through 30" doorframe, legs detach
Layer 03

Lifestyle Vocabulary

Real people search with real words. Beam generates the phrases your customers actually type — not the industry jargon your merchandisers use.

"Apartment-friendly" — fits small spaces
"Pet-proof" — durable, stain-resistant fabric
"Kid-safe" — rounded corners, washable covers
"Looks expensive but isn't" — premium aesthetic, budget price

Search

Same query. Wildly different results.

See what happens when search understands intent, not just keywords.

mid-century modern furniture for a small living room on a budget
traditional-search.com
Keyword Matching

Living Room Furniture Set

Generic bundle, no style info, wrong price range

Keyword match

Small Side Table — Modern

Matched "small" and "modern" — not what they meant

Keyword match

Century Rug — 8x10

Matched on "century" — too big, wrong category

Keyword match
powered by Beam
Intent Understanding

Walnut-Leg Sofa — Olive Green, Apartment-Sized

Style: mid-century, Scale: small living room, Under $800

Intent match

Tapered-Leg Coffee Table — Walnut Finish

Pairs with: MCM sofas, fits 10x12 rooms, $199

Style match

Spindle-Back Accent Chair — Mustard

Mid-century icon, compact footprint, budget-friendly

Context match

Benefits

Why Home & Furniture teams choose Beam

From enrichment to discovery, Beam solves the problems that keep your products invisible.

01

Style-Based Discovery

Your customer knows they want "japandi" but your catalog calls it "minimalist wood." Beam bridges the gap between design trends and product descriptions so style searches actually work.

02

Room-Builder Recommendations

Beam doesn't just find a sofa — it finds the coffee table, rug, and lamp that go with it. Complete-the-room logic driven by style cohesion, scale, and color palette.

03

Space-Aware Search

"Will it fit?" is the question that kills furniture conversions. Beam tags every piece with room sizes, doorway clearances, and layout compatibility so buyers shop with confidence.

04

Interior Design AI Compatibility

When AI design tools recommend "a statement chair for an awkward corner," your enriched catalog is what they draw from. No style data, no recommendation.

Make every piece discoverable. Every room searchable.

Join furniture brands already using Beam to turn flat product data into rich, design-aware catalog knowledge.

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