Case Study: Motor City achieves more accurate automotive parts pricing with Priceva

Motor City integrates Priceva in 1 month to price 30,000 automotive parts more accurately

Motor City, a seller of used and new automotive parts from Japan, faced the challenge of manually pricing its vast assortment of over 28,000 products. This process was slow, prone to human error, and lacked reliable external market data, risking inaccurate pricing and lost margins. The company needed to automate the collection of detailed competitor information and integrate it directly into its own pricing system.

Priceva provided a solution via API integration, serving as an external market data layer for Motor City's internal pricing engine. The implementation took about one month and resulted in faster, more accurate pricing and a more objective view of the market. Priceva's solution reduced manual work and the influence of human error, giving Motor City deeper control over its assortment and pricing decisions.

Motor City