AI-powered aftersales CRM does not send better bulk messages. It eliminates bulk entirely—shifting from broadcast to conversation. The right customer gets the right message, on the right channel, at the right moment. Here is how that looks across core use cases for Indian dealerships.
Service reminders
Manual: CRM executive calls or messages everyone whose vehicle is 4–5 months old or last service 6+ months ago. AI: The system monitors the DMS for each vehicle's service interval, identifies the optimal window per customer, and initiates contact via the channel with the highest response rate—voice for older customers, WhatsApp for younger—at the time they are most likely to respond.
Insurance renewals and at-risk recovery
Manual: Monthly report of expiring policies, bulk outreach, rarely more than one follow-up. AI: Multi-touch sequence—45 days, 21 days, 7 days, 3 days—with offers calibrated to loyalty tier and vehicle value. For at-risk customers, predictive models flag early churn signals and trigger interventions before they switch to a local garage. Relatim delivers this with OEM DMS integration and regional language support. Try Relatim or contact us.