Build real estate mobile apps with Android Automotive OS and Apple CarPlay integrations, leveraging vehicle data via OEM SDKs, GPS modules, and MQTT-based communication for real-time tracking, diagnostics, bookings, and OTA-enabled alerts.
Develop DMS platforms aligned with automotive workflows, integrating OEM systems, parts catalogs, and service tools via standards like Auto/Mate DMS and Reynolds and Reynolds, with VIN-based inventory tracking and service lifecycle management.
Connect systems using automotive data standards like AUTOSAR and ISO 20078, enabling secure vehicle data exchange, unified customer profiles, and real-time service history tracking.
Build fleet systems using telematics protocols like FMS Standard and GPS/OBD integrations, combined with route optimization engines and fuel analytics tailored for commercial vehicle operations.
Implement telematics using OBD-II, CAN bus decoding, and COVESA standards for real-time diagnostics, driver insights, and predictive alerts across connected vehicles.
Use vehicle-specific datasets from ECUs and telematics streams, applying condition-based monitoring models aligned with ISO 13374 to predict failures and optimize service intervals.
Develop ADAS modules using Apollo or Autoware, integrating LiDAR, radar, and camera inputs for perception, planning, and control systems.
Use automotive retail datasets (VIN, trim, mileage) with demand modeling aligned to JATO Dynamics and Black Book to optimize pricing, residual values, and inventory turnover.
Build MaaS platforms integrating transport APIs and standards like GTFS and OCPI to enable multimodal transport, EV charging interoperability, and subscription-based mobility services.
