Predictive Fitment Engine for Aftermarket Modifications

Car enthusiasts struggle to determine if aftermarket parts (wheels, suspension, exhausts) will fit their exact vehicle setup without clearance issues. This uncertainty causes purchase hesitation, endless forum questions, and massive return costs for e-commerce retailers.

Modifying cars is a multi-billion dollar industry, but fitment is incredibly complex. A customer wanting new wheels needs to account for wheel diameter, width, offset, tire size, vehicle ride height, and brake caliper clearance. Basic Year/Make/Model dropdowns on e-commerce sites fail miserably here because they don't account for compounding modifications (e.g., 'Will these wheels fit if I also have a 2-inch drop and aftermarket brakes?'). Enthusiasts spend hours scouring forums asking 'Will it rub?' Retailers face huge profit losses from returns because shipping large, heavy items like wheels and exhausts is wildly expensive. An intelligent, crowdsourced, and physics-based fitment engine would solve this.