Finding Luxury SKUs in 60 Seconds—How 9AI Slashed Search Time by 96% for The House of Things
Executive Snapshot
Business Impact at a Glance
“The new visual search lets us wow clients in minutes instead of days.”
The House of Things
Challenge & Objectives
Pain Narrative
THOT curates 30k+ designer SKUs, but clients arrive with mood-board images or vague briefs (“mid-century caramel lounge chair”). Designers had to trawl Magento, open dozens of tabs, and still risk missing hidden gems. Average shortlist took 18 minutes, backlog ballooned, and premium clients lost patience—threatening brand equity and revenue.
Legacy Task Bullets
- •Manually tag visual cues, guess keywords
- •Scroll 100+ product pages per query
- •Update option sheets & quotes by hand
KPI Table
Solution Overview
AI-Powered Visual Search Platform
Service Pillars Engaged
How It Works
The platform ingests every SKU from Magento nightly, generating CLIP embeddings that blend product photography with enriched attributes (category, form factor, material, colour, era).
Designers drop a reference image or description; an agent detects objects, fuses text & vision vectors, applies weighted similarity, and returns top-10 matches plus look-alikes for upsell.
Usage, hits, and feedback loop to fine-tune weights are logged in the lead module for continuous improvement.
Platform Interface Preview
Architecture & Approach
Implementation Strategy
1Discovery & SOP Design
2Deployment & Adoption
3Technical Build
System Architecture Flow
Process Flow
Outcomes & Business Impact
| Metric | Pre-9AI | Post-9AI | Δ Impact |
|---|---|---|---|
| Avg. search time per query | 18 min | 0.8 min | ▼ 96% faster |
| Designer hours on search | 200 h/wk | 20 h/wk | ▼ 90% |
| Monthly labour spend | ₹10L | ₹2.5L | ▼ ₹7.5L |
| Client shortlist accuracy | Subjective | 95% Top-10 match | ▲ Precision |
| Cross-/upsell conversions | 8% | 26% | ▲ 18 pp |
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