AI and real-time location power insights for automotive
By: Richard Hurlock
Our maps and location services are now integrated into Bright Box’s Remoto connected-car platform, enabling enterprises and their customers to track a car’s location and performance in real-time. Remoto’s full stack of AI-enabled tech aggregates telematics data and supports a connected feedback loop for OEMs, dealers, end consumers, and other industry players.
OEMs use Remoto to gain insights into user behavior, dealers access predictive analytics and CRM services, insurance companies can monitor driving behavior, and consumers can interact with vehicle data through mobile apps and dashboards. Chief Product Officer Vitaly Baum explains how it’s all hinged on location.
What are some of the things you’re doing with maps and location data?
We have a list of services that use the car’s location for tracking trips and vehicle data, showing routes on the map, and geofencing. One feature that is quite popular is valet-parking control. When the valet picks up the car, the user can track its location. If the car goes further than 0.3 miles, the user receives a push notification. You can set a geofenced area on the map and track the exit/entrance into the zone. You can also track speeding and vehicle events like “bumps” and towing. This comes in handy when lending the car to friends and family.
Why did you choose our platform for building location services into Remoto?
The ability to customize the presentation of the map and map data for style and branding was critical for us. We’re also really excited that the maps are constantly being improved by the anonymized telemetry data that’s collected through the mobile SDKs — the quality of the maps and coverage around the world is very important. Mapbox also has a great ecosystem of services, such as map matching, geocoding, and navigation.
Can you tell us about how you’re using some of those services?
We use the Maps SDK for Android and iOS platforms to display maps inside our mobile applications. With the Map Matching API, we can beautifully display the user’s trips if there’s a lot of noise pollution from our GNSS sensors. Then we use the Geocoding API to show the addresses of current vehicle locations. This is also used for sharing the location of the vehicle in the case of roadside assistance. We easily migrated from another data provider without any problems so we’re really satisfied with the services.
Any Mapbox features you plan to add or explore in the near future?
The millimeter precision HD Vector Maps are an effective tool for us as we expand in the smart insurance space. We see huge potential in high-frequency maps because this can help recreate the conditions of any road incident. It provides a good input for understanding people’s driving style. We also have plans to integrate parking services for our end users so very accurate, detailed maps are necessary to identify parking locations.
How about in the longterm, what kind of innovation can we expect from Remoto in terms of location?
Last year, we launched an AI-enabled system for OEMs and dealerships — Remoto AI. It’s based on processing 90 terabytes of data from connected car users around the world, and it can evaluate a customer’s lifestyle and recommend accessories, sell cars based on driving style and individual preferences/habits. We’re offering drivers from different categories a tailored set of products and services based on analyses of vehicle telemetry, social networks, and master data. The location of the vehicle is the most important part of this scoring. Based on this data, we’ll be able to provide targeted products to the whole market.
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Bright Box Remoto connected car platform was originally published in Points of interest on Medium, where people are continuing the conversation by highlighting and responding to this story.