Modern Homeware: From Shopify Plus to Agent Ready

The Challenge

For high-ticket furniture items, customers often agonize over dimensions, materials, and “will it fit?” questions. Increasingly, they are turning to advanced interior design AIs to plan their spaces.

This brand’s Shopify Plus store was beautiful for humans but opaque to these agents. The product descriptions lacked the structured technical data (precise dims, material density, assembly complexity) that agents need to confidently recommend a sofa.

The Solution

We deployed a full agentic commerce stack on top of their Shopify Plus instance — protocol integration, AI discoverability optimization, and MCP tool definitions:

1. AI-Specific Data Enrichment: We used our “Agentic Readiness” audit to identify missing data points. We then automated the enrichment of 4,000 SKUs with agent-critical details (e.g., “pet-friendly rating”, “robot vacuum clearance height”).
2. Contextual Recommendations: We set up a Model Context Protocol (MCP) server that allowed design agents to query the catalog with semantic constraints (“Find a beige sectional under $3k that fits a 12ft wall and ships by Tuesday”).
3. Visualization Hooks: We exposed 3D asset links in the UCP manifest, allowing spatial computing agents to project items into user floor plans efficiently.

The Results

The “Agent Ready” catalog transformed their acquisition funnel:

• 22% increase in new customer acquisition, primarily driven by “high-intent” referrals from design platforms.
• $4,200 AOV for agent-assisted carts (35% higher than direct web).
• 30% reduction in returns, because agents could verify dimension compatibility before the purchase on behalf of the user.

“We stopped trying to outspend competitors on ads and started outsmarting them on data. ForkPoint made our catalog the smartest in the room.”

— Chief Marketing Officer