The Challenge
A car care distributor with 240 products across 11 professional brands needed customers to find the right product for their specific vehicle and task without calling support. Product selection depends on chemistry compatibility, surface material rules, and brand-specific guidance that most customers do not know. The distributor was losing revenue because customers either bought the wrong product (leading to returns and complaints) or abandoned their purchase entirely when they could not determine compatibility. Support staff with specialist product knowledge were a bottleneck that could not scale with demand.
Our Solution
- Product matching using chemistry compatibility rules
- Surface material and vehicle type analysis
- Brand-specific guidance across 11 professional brands
- Educational content linking (how-to guides, application videos)
- Product knowledge graph mapping relationships between 240 items
- Trilingual support (3 languages)
How We Built It
We mapped the entire product catalogue into a knowledge graph that encodes chemistry compatibility, surface safety rules, and brand-specific application guidance. The system walks customers through a structured selection process: identifying their vehicle type, surface material, desired outcome, and any existing products already applied. Each recommendation considers chemical interactions to prevent damage. The system links to educational content (videos, guides) for proper application technique.
Results
140 automated tests with zero false compatibility recommendations. 240 products fully indexed with complete relationship mapping. 11 professional brands with brand-specific guidance rules. Trilingual support serving customers in 3 languages.
What Makes This Different
This is not a search bar. It is a product intelligence system that understands the chemistry and compatibility relationships between hundreds of products. The kind of expertise that would normally require a specialist employee with years of product training. It replaces specialist knowledge with deterministic matching, ensuring every customer gets accurate guidance regardless of when they ask or which staff member would have been available.