US dealerships face significant challenges in adopting artificial intelligence (AI) and predictive data technologies, according to a survey commissioned by AI-powered inventory management specialist Lotlinx.
The survey, which included responses from over 2,500 dealerships across the US, highlights a gap in the industry’s ability to exploit advanced technologies to enhance operational efficiency and profitability.
The survey reveals that 78% of dealerships are unsure about how to use predictive data effectively, pointing to a widespread knowledge gap that hampers progress. Only 5% of dealers currently employ AI and predictive analytics for maintenance or for inventory management and pricing optimisation.
It found that while 21.36% of dealerships use AI for customer relationship management (CRM) and lead scoring, the majority fail to maximise its potential for improving customer engagement or operational efficiency.
Dealers cite challenges such as integration with existing systems (19%), staff training and adoption (18%), and data quality or accuracy concerns (21%) as key reasons for the slow implementation of predictive analytics.
These obstacles have left many dealerships reliant on traditional methods of decision-making, often based on historical trends or intuition rather than data-driven insights.
Looking ahead, there is some optimism, as 80% of dealers expressed intentions to invest in AI technologies in 2025.
Len Short, executive chairman of Lotlinx, stressed the importance of bridging the gap, stating: “These survey results reveal a stark reality, as many dealers are struggling to leverage predictive analytics effectively. There is a clear need for education and partnerships with experienced providers to help dealerships modernise and thrive in a competitive market.”
