Data Architecture and AI-Driven Migration for ACO USA
ACO USA manufactures precision drainage and water management solutions across multiple industries. Their catalog had grown without a clear content architecture.
Product data was scattered across legacy spreadsheets, technical files were disconnected from the products they covered, and there was no way to filter by the parameters engineers actually use to specify products. The sales team was fielding questions that the website should have answered on its own.
xfive was brought in to fix the data, not just the website.
Project Scope
xfive consolidated years of fragmented product data into a single system of record. With AI we resolved conflicts across multiple legacy spreadsheets at a scale that would have otherwise significantly stretched the timeline. On top of that, we built filtering and lead capture that match how engineers actually work.
Features
Parameter-Based Filtering for Engineers
Engineers filter by load class, material, outlet configuration, or certification standard, and the system cross-references all selected criteria at once. Combining multiple filters never returns zero results.
Dual-Path Content Architecture
Two entry points into the same catalog, one for engineers working from technical parameters, one for facility managers starting from the application they need to solve for.
AI-Supported Data Migration
ACO USA's product data had accumulated across inconsistent spreadsheets, legacy exports, and static files with conflicting values. xfive used AI to align the data sources and validate import scripts at scale, keeping the project on timeline and within budget.
ZIP-Code Distributor Locator and HubSpot Integration
Buyers find their nearest distributor by ZIP code. Inquiry forms capture what the user was looking at and pass that context into HubSpot so sales reps receive warm, specific leads rather than generic contact requests.