We believe that knowing the location, behavior and environmental situation of your users is valuable in so many applications. Embed MOVE into your own app and know when your users are where, how they behave and in which context they act.
The timeline shows you the movement of your users.
Get route history and driving behavior for car trips.
Create and manage POIs and trigger location-based actions.
Porsche Insurance customers can reduce their premiums by up to 20% using the Smart Driver App, promoting safer and more mindful driving habits.
Emergency Service
CZ-based insurer Kooperativa (VIG) integrates Automatic Impact Detection (AID) and an emergency button into their telematics app, ensuring swift assistance during emergencies
Eco-Driving
Generali encourages eco-friendly mobility by rewarding customers for safe driving and sustainable choices, such as biking or using public transport.
Risk Prevention
The Smart Driver App from Porsche Insurance warns drivers ahead of risks, such as severe weather conditions, enhancing safety and preparedness on the road.
UBI
The MOVE Score app provides a privacy-first risk score to insurance companies without requiring them to develop their own app.
MOVE FEATURES
Mode of Transport
Mode of Transport
Detection and differentiation of several mobility modes, e.g. vehicle, public transport, cycling and walking.
Driving Behavior
Driving Behavior
Car trips are assessed according to their level of risk, including distracted driving, speeding and eco-driving.
POI Management
POI Management
Points of interest (POIs) can trigger events or actions, such as geo-marketing, informations, or alerts.
Marketing Automation
Marketing Automation
Based on location, user behavior and environmental information, you can set attributes, create segments and design customer journeys.
AID – Automatic Impact Detection
AID – Automatic Impact Detection
Accidents are automatically detected and reported, and emergencies can be manually triggered.
Weather Forecasting
Weather Forecasting
Severe weather conditions can serve as a basis for alerts and initiate customer journeys.
Eco-friendly Mobility
Eco-friendly Mobility
A vehicle’s ecological impact depends on mileage and driving behavior. The MOVE SDK calculates CO2 emissions per trip and overall, showing how smoother driving can significantly reduce emissions.
AppSaver™ – User Satisfaction
AppSaver™ – User Satisfaction
Incorrect smartphone settings or missing permissions are common causes of customer complaints. AppSaver detects these issues and offers simple, step-by-step solutions, ensuring the app functions smoothly.
MOVE
Platform
The MOVE platform consists of two main components, MOVE SDK and MOVE Backend. The software development kit is available for Android and iOS and can be integrated into existing apps or used as part of a new application. The backend makes the data collected by the MOVE SDK available via APIs as well as a web interface.
MOVE TIMELINE
The data prepared in the MOVE backend can be retrieved via an API and displayed as a timeline. The data can be transferred to your application, displayed on the user’s smartphone, or retrieved as a timeline via a web service.
Mobility detection
When mobility is detected, the MOVE SDK on the smartphone starts recording the corresponding data.
Analytics
The data is forwarded to the MOVE backend. A machine learning algorithm determines the modes of transportation.
Driving behavior
Car trips are analyzed in more depth and evaluated according to their safety. This includes, in particular, smartphone distraction.
Driving style
Adherence to speed limits, braking, acceleration and cornering behavior are also evaluated.
Modes of transportation
General mobility behavior is also recorded. This includes cycling, walking and the use of public transport.
TRIP IS BEING EVALUATED
79%
3%
12%
34%
CAR
12:00-12:11 (11 min.)
FROM: 500 W 2nd St, Austin, TX 78701, United States
TO: 2600 E 13th St, Austin, TX 78702, United States
4
min.
2
min.
6 min. | 55%
CAR
12:00-12:11 (11
min.)
FROM: 500 W 2nd St, Austin, TX 78701, United States
TO: 2600 E 13th St, Austin, TX 78702, United States
4min.
2min.
6 min. | 55%
IDLE
12:11-12:16 (5 min.)
WALKING
12:16-12:25 (9 min.)
IDLE
12:11-12:16 (5 min.)
SHORT TRIP DRIVERS
Segment for people who:
have performed the event trip
with a distance of less than 1,000m
at least 4 times within the past 10 days
Trigger
in Short Trip Drivers
Time Window
Wait until any day between 5:00 PM and 8:00 PM in the user’s time zone
Only send if customer meets 1 condition
Short Trips Message
MARKETING AUTOMATION
Design specific customer segments in minutes
Event data from the timeline is made available at an API, where it can be transferred to a CRM system or a marketing automation platform. We optionally offer a pre-integrated solution in cooperation with customer.io. Using attributes and segments, you can easily and flexibly design fantastic customer journeys.
Build beautiful customer journeys
Define a trigger for your campaign
Add additional attributes
Send notifications or apply another action
Get insights of your campaign success
Check your campaign results in real time and optimize it to reach your conversion goals.
MOVE FUNCTIONS
Driving recognition
After the SDK has been set up and its services started, it automatically activates itself in the background and collects the required data completely autonomously and without any user interaction, even when the app has been closed. The GPS and IMU data are recorded at high frequency to best analyze the user’s method of transportation and driving behavior. This includes events such as phone distractions, speeding, and acceleration, cornering, and braking behavior.
Battery management
It is essential to keep the power consumption of the app as low as possible. That’s why every SDK instance running on a smartphone learns the individual activities of its user and personalizes its lifecycle in the background as a result.
Artificial Intelligence and Machine Learning
Our statistical models are able to interpret a user’s behavior in an optimal way. For example, MOVE recognizes whether a route was traveled by car, bicycle, public transportation or on foot. If it is a car trip, driving style and behavior can be interpreted and evaluated. Relevant positions are also learned, e.g. the user’s place of residence or workplace.
Predictive Analytics
Our objective is to identify risks and warn the user at the right time. For this purpose, we use predictive analytics for temporal and spatial forecasting, i.e. when a person will be where. In combination with, for example, weather data, we can provide warnings of possible dangers in the future. To do this, we use time series analysis, (density-based) clustering methods and the modeling of stochastic processes (probabilistic modeling), among other things.
IoT – Internet of Things
External devices help us to better understand the environment. This enables us to recognize whether a user is driving their own vehicle and to detect emergencies such as a car accident or fall. The MOVE app communicates with these devices – such as MOVE eCall or MOVE wristband – via Bluetooth and interprets the information from their sensors. We offer the MOVE emergency platform as a web service or via API for emergency response centers.
MOVE APIs
Via the MOVE APIs, the SDK makes all recorded and enriched data available. The core is the Timeline API, through which analyzed journeys and seamless user movement data are transferred. Other APIs provide SDK functions such as points of interest, support user communication and error analysis (e.g. optimization of permissions and battery settings at the user), and offer additional services (e.g. emergency service, address resolution). User data is kept secure and GDPR compliant, certified according to ISO 27001.
WANT TO TRY IT OUT?
Experience the MOVE SDK
in our pilot app.
Are you a developer and want to start
building on the SDK right away?