How an HVAC Manufacturer Achieved 99% Accuracy in System Matching

Matching indoor and outdoor HVAC components requires sales engineers to account for building size, climate, capacity, product compatibility, inventory, and lead times. Manual verification created a higher risk of configuration errors, delayed orders, and unsuitable replacement recommendations.

CapeStart implemented a constraint programming engine that mathematically validates system compatibility, including the required BTU capacity between selected indoor and outdoor units. The engine connects with inventory and supply chain systems to prioritize in-stock products and account for lead-time constraints.

A Neo4j product graph maps relationships across components, supporting accurate system configurations, compatible replacement parts, and upgrade recommendations. The solution achieved more than 99% matching accuracy and reduced specification and inventory verification time by over 60%. Explore the Solution.