Verkkokauppa.com
Product search
Text matching failed on complex queries in a 50k catalog. Now, LLMs interpret intent to rank products by likelihood to convert.
- 8% improvement in conversion per visitor
- 4% increase in products added to cart
Manual rules failed to match 120k products to diverse buyer journeys. Real-time ML now adapts to intent, serving relevant suggestions.
A major European musical instrument retailer managing a catalog of 120,000 products with price points ranging from €2 to €350,000 for millions of global customers.
A legacy 13-year-old rule-based system required heavy manual intervention and could not account for vastly different customer journeys, ranging from...
“We had a solution that served the company well for many years, but it was time to evolve and align with technological progress. We needed something that could scale with us and deliver maximum value to our customers.”
Online retailer of musical instruments, studio gear, and lighting equipment.
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