E-COMMERCE
29.4 million products finally visible
The retailer faced a product matching problem. While competitors sold similar items, traditional SKU-based matching failed for home goods with multiple configurations (e.g., sofas in 47 configurations, lamps in 12 finishes). The existing vendor achieved only 15-20% catalog coverage, leaving the remainder invisible.
TinyFish agents match products by comparing attributes—dimensions, materials, style, price range—rather than identical SKUs. Critically, the agents provide explainable reasoning, stating: "Matched because: similar dimensions, same material, comparable price point." This transparency enabled analyst trust and adoption.
"The way a human shopper would find comparable products—not identical matches, but intelligently comparable items based on multiple attributes."