From search to sale: unlocking product discovery and ecommerce performance

Furniture Village had outgrown the native search capabilities within Salesforce Commerce Cloud.

To continue scaling ecommerce performance, the business needed a more sophisticated and flexible solution—one that could keep pace with a large, complex catalogue while improving how customers discover, navigate and buy products.

The challenge was multi-layered. Search relevance needed to improve to better capture and convert high-intent users, while category navigation and filtering required optimisation—particularly as inconsistent indexation was creating SEO challenges. At the same time, there was a clear opportunity to strengthen the conversion journey from product discovery through to checkout.

All of this needed to be delivered without compromising platform performance, stability or data accuracy across multiple integrated systems. Enhancements had to be rolled out through a structured, iterative release cycle that wouldn’t disrupt live trading. And underpinning it all was the need to unlock stronger cross-sell through more intelligent and dynamic product recommendations.

With a December code freeze fast approaching, speed was critical. The priority was clear: deliver a high-impact MVP quickly, ensuring improvements to search performance could be realised during peak trading.

We partnered closely with Constructor to design, configure and deploy a new search experience in under a month. The approach focused on the highest-impact areas of product discovery, while leveraging the existing UI through a server-side integration to minimise complexity and accelerate delivery.

The initial phase centred on rapid MVP delivery. Within weeks, we launched a fully functioning search experience aligned to peak trading deadlines, prioritising core search and merchandising capabilities to drive immediate value.

Working in close collaboration with Constructor, we optimised search relevance and ranking using machine learning models to improve product discovery and personalise results. This partnership also enabled a shared delivery approach, allowing for rapid iteration and continuous refinement following launch.

The improvements to search and discovery were immediate. Users were able to find products faster through more relevant results, while enhanced product listing and filtering reduced friction and improved navigation. Search outputs were better aligned with both merchandising priorities and real customer intent, creating a more intuitive and effective experience.

Alongside the search implementation, we introduced targeted enhancements across the wider ecommerce journey. SEO improvements addressed indexation issues and improved crawl efficiency. Product detail pages were refined with clearer swatch grouping and stronger product recommendations. Add-to-basket and checkout journeys were optimised to support conversion further down the funnel, while enhanced data tracking provided greater visibility across performance.

Following the MVP launch, we continued to iterate and expand the experience through subsequent releases, using real user behaviour and performance data to inform ongoing improvements.