Problem

Mobi AI was facing a challenge in effectively communicating their AI routing platform features in a way that improved the driving experience of their customers. They needed to create an intuitive voice-controlled and powered AI assistant that could suggest and even predict needs of users while en route using routing algorithms, real-time data and inventory metrics. Mobi's routing platform was designed to offer human-centric intelligent mapping and planning technology. The company's platform utilizes artificial intelligence and machine learning tools to provide data integration, intermodal routing, multi-activity planning, customer profiling, execution monitoring, and inventory or fleet management services, enabling automotive, mobility, hospitality, and travel companies to improve their existing mobile products and to strengthen their customer experience.

Solution

We created an AI assistant for CAVs/EVs that was voice-controlled and used innovative VUI and routing algorithms to enhance the driving experience of Mobi AI's customers. Our team utilized artificial intelligence and machine learning tools to provide data integration, intermodal routing, multi-activity planning, customer profiling, execution monitoring, and inventory and fleet management services.

The team deployed an animated prototype derived from a research and workshopping process geared toward EV and CAV companies. The result was a visual narrative that provided the ability to envision their backend product (AI-driven data-mapping and Intelligent Point of Interest selection and recommendation) in an array of different front-end scenarios that would appeal to various B2B customers and their users. The result was an additional client partnership deal, as well as visual material to pitch to several different companies across transportation, urban planning, and others incorporating Mobility as a Service (MaaS) operations and technologies.

Read more about the multimodal routing system here.

Team

Team Member #1 - Product Designer
- Oversaw the ideation of new voice interactions and language and itinerary inferences
- Led design of the user-facing (driver) voice interaction with the AI assistant
Team Member #2 - User Researcher
- Oversaw the user stories, user researcher and qualitative research processes
- Conducted interviews based on user interaction, needs, and suggested features based on learnings
Team Member #3 - Data Scientist
- Analyzed real-time data and inventory metrics to improve routing algorithms
- Derived data backed solution for the execution monitoring system based on human behavior, user interaction, and responsiveness learnings
Team Member #4 - Software Engineer
- Oversaw the creation and implementation of the platform
- Built the voice-controlled VUI system using machine learning tools

AI: Personal Mobility Assistant for CAVs/EVs