City Furniture Case Study: 92% RPV Growth with AI Product Discovery

City Furniture Sees a 20% Uplift in Conversion Rate with Netcore’s Personalization

Company: City Furniture

About: City Furniture, a Florida-based leader in home furnishings, has been redefining living spaces with a simple mission: to deliver beautiful furnishings at an incredible value—both in-store and online. Launched initially as Waterbed City, the brand has grown into a stylish, value-driven home décor destination with 25 showrooms across the state and a swiftly increasing ecommerce presence.

Industry: Retail, Furniture, Mattresses, Youth Furniture, and Outdoor

Location: Florida

Category: Search & Product discovery

Solutions Used: Vector Search, No-code Merchandising, Browse, Recommendation

The Challenge: Product Discovery Complexity due to a Vast Catalog

City Furniture faced growing complexity in product discovery due to a vast catalog spanning thousands of SKUs across categories. Customers struggled to quickly find relevant products, leading to friction in the buying journey.

At the same time, the merchandising team lacked agility. Launching promotions, updating product displays, or adapting to seasonal trends required heavy reliance on IT, slowing down execution and limiting responsiveness to market demand.

The Solution: A combination of Search, Personalization, and Merchandising Control

Netcore implemented an AI-powered product discovery stack combining search, personalization, and merchandising control within a unified platform.

Key elements included:

AI-driven search and vector search to improve query understanding and deliver highly relevant, intent-based results
Personalization engine to tailor product recommendations and experiences for each shopper
No-code merchandising console enabling business teams to manage search, browse, and promotions independently
Real-time merchandising capabilities to launch campaigns and update storefronts instantly without IT support

This approach removed operational bottlenecks while significantly enhancing discovery quality.

The Impact: Growth in Conversion Rate, RPV, and Add-to-Cart Rate

The transformation delivered strong, measurable business outcomes:

20% increase in conversion rate
2.5x uplift in add-to-cart rate
54.8% higher conversion (vector search A/B test)
92% increase in revenue per visitor (RPV)

Additionally, operational efficiency improved as merchandising teams could execute campaigns faster, reducing turnaround time from days to hours.

The Takeaway

When product discovery is powered by AI and placed in the hands of business users, brands unlock both revenue growth and operational agility.

City Furniture’s success shows that combining semantic search, real-time personalization, and no-code merchandising creates a compounding impact across conversion, engagement, and speed to market.

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