Software for selling, servicing and tracking vehicles

Regulations shaping automotive software

In India, public transport and commercial vehicles must carry vehicle location tracking devices with emergency buttons that meet the AIS-140 standard, connected to state monitoring backends, which defines data formats and alert handling for telematics platforms. Vehicle registration, permits and fitness data come from government systems such as Vahan, and dealer software must handle registration and insurance steps at the point of sale.

For connected vehicles sold in many international markets, UN regulations R155 and R156 require manufacturers to manage cybersecurity and software updates across the vehicle lifecycle, supported by standards such as ISO/SAE 21434. Location and driving data about owners is personal data under laws such as the DPDP Act and the GDPR. This is general information, not legal advice.

• Support AIS-140 data formats and emergency alerts for tracking devices.
• Sign and verify every over-the-air software update.
• Get owner consent before sharing driving or location data with partners.
• Log access to vehicle and customer records.
• Plan for security patches across the full vehicle life.

Integration challenges in automotive

Dealers work across many systems: OEM dealer portals for orders, warranty and incentives, electronic parts catalogs, finance and insurance partners at the point of sale, government registration, accounting and their own CRM. Multi-brand dealer groups multiply this, since each manufacturer has different portals and data formats, and managers struggle to see group-wide performance.

Telematics adds device diversity. Fleet operators often run devices from several vendors, each with its own protocol and data quality. An integration layer that normalizes vehicle, trip and alert data, with adapters for each OEM system and device type, lets new brands or devices be added without rewriting the applications on top.

Data ownership deserves attention too. Contracts with manufacturers and device vendors often limit how dealer and telematics data may be used or exported, so check those terms before designing analytics. Building on clean, owned data also makes it far easier to switch vendors or add new brands later.

• Normalize vehicle, trip and alert data from every device vendor.
• Map each manufacturer portal's data into one dealer data model.
• Sync bookings and invoices with accounting automatically.
• Track data sharing permissions per partner.

Where AI fits in automotive

Telematics and service history can predict when a vehicle needs attention, turning generic reminders into timely, specific service invitations. Parts demand forecasting helps dealers and distributors stock the right items, photo-based damage assessment speeds insurance claims and used car evaluation, and price estimation models help used car businesses buy and sell at sensible prices. Service retention is usually the quickest win.

Driver behavior scoring from acceleration, braking and speeding data supports fleet safety programs and usage-based insurance. As with any AI that affects money or safety, keep explanations visible, review edge cases manually and monitor models as vehicle mixes and road conditions change.