Furniture
Dimensions, materials, configurations, delivery constraints.
CONFIGURATION-HEAVYAgentCart runs the shopping journey the way an AI agent sees it — then shows the first real blocker between discovery and cart.
Find a lightweight black running shoe, size 42, under €130. Add the best match to cart.
Normalize variant labels so the intended size can be selected reliably.
AgentCart does not ask whether your storefront “looks AI-ready.” It executes a purchase journey and exposes where machine action breaks.
The agent finds the product family but may stop before cart because size values are not consistently machine-readable.
18/18 affected variants now pass the prototype machine-readable variant check. No sales-lift claim is implied.
Dimensions, materials, configurations, delivery constraints.
CONFIGURATION-HEAVYGoals, ingredients, shades, routines, product families.
RECOMMENDATION-HEAVYSpecs, generations, accessories and compatibility.
COMPARISON-HEAVYPoint AgentCart at the storefront.
Execute an agent purchase journey.
Surface one merchant-controllable action.
Run the journey again and compare.
Catalog diagnostics, journey traces and evidence stay behind the scenes. The merchant sees what matters now: the biggest blocker, the action, and the verification.
Open AgentCart →Illustrative prototype data only. No live merchant changes are made.