Woodworkers Source used Miva's AI-powered search solution, Vexture®, to turn a highly complex, attribute-driven product catalog into an intuitive shopping experience, driving significant, sustainable revenue growth.
Woodworkers Source manages a large and highly technical product catalog, with thousands of wood products defined by attributes such as species, thickness, cut, and finish. In the woodworking industry, customers, ranging from professional craftspeople to weekend hobbyists, use precise but often ambiguous terminology when searching, such as "8 quarter cherry" or "live edge board." Translating this specialized language into accurate product results is critical to conversion.
Traditional keyword-based search tools struggled to interpret these multi-attribute phrases. To compensate, merchants would typically need to manually configure synonyms and rules. That approach is difficult to maintain and impossible to scale for a catalog of this complexity. As a result, Woodworkers Source experienced frequent zero-result searches, abandoned sessions, and missed revenue opportunities. They needed a smarter way to connect high-intent shoppers with the right products, without increasing operational overhead.
Woodworkers Source implemented Vexture®, Miva's native AI-powered search solution, to transform how customers discover products across their catalog. Designed specifically to handle complex, attribute-driven inventories, Vexture interprets non-standard and partial search phrases that previously led to empty results or customer frustration.
Using natural language processing, Vexture decodes industry-specific terms related to lumber species, dimensions, and cuts, ensuring that even ambiguous searches like "walnut slab" or "8 quarter cherry" return relevant, purchasable products. The AI also forgives misspellings and variations in phrasing, virtually eliminating zero-result pages and dramatically reducing search abandonment.
As the system gathered real customer interaction data, Vexture continuously refined its understanding of shopper intent. After a seven-week tuning window, the AI reached a stable performance "sweet spot," where search results consistently aligned with customer expectations. This data-driven approach allowed Woodworkers Source to unlock sustainable performance gains without constant manual adjustments.
Once we turned on Vexture, product discovery got noticeably better. Fewer zero results, less frustration, and a meaningful jump in daily sales.
Mark Stephens |The impact of improved product discovery was both immediate and measurable. By removing friction from the search experience, Woodworkers Source achieved a 29.64% sales lift above their historical baseline, driven by a sharp increase in Average Daily Sales (ADS).
Average daily revenue increased by $3,475 per day, rising from a baseline of $11,727 to $15,202 with Vexture's search feature enabled. These gains were supported by strong volume, with 3,439 orders processed during the measurement period, demonstrating that the lift was not the result of a few outliers but broad-based improvement across the catalog.
Most importantly, the results proved to be durable. Once Vexture completed its learning phase, performance stabilized at a higher level, turning better search accuracy into a predictable and repeatable revenue driver rather than a short-term spike.
By applying AI-driven product discovery to a highly technical catalog, Woodworkers Source transformed complexity into a competitive advantage. Vexture® delivered a nearly 30% sales lift by ensuring every high-intent search led customers to the right product–at scale and without manual effort.