Applying Conversational & Generative AI in Shared Mobility

Bojan Jukić
goUrban

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The rise of AI, and particularly the advancements in conversational and generative AI like ChatGPT, has significantly eased many aspects of our daily lives. A recent announcement by OpenAI, introducing an App Store for ChatGPT, heralds a new era of opportunities for creating customized GPT applications.

The shared mobility sector, however, appears to have only scratched the surface of what is possible with this technology. To understand its potential impact, we’ve linked the main profitability challenges faced by shared mobility operators with the innovative solutions that conversational AI could offer.

Current State of AI in Shared Mobility

AI has become an integral part of shared mobility, driving improvements in efficiency, safety, and user experience. Operators have turned to AI to enhance various facets of their services:

Image Recognition

Companies like Fantasmo (aquired by Tier Mobility) are leading the way in employing AI to verify correct parking of scooters and assess any damages, which helps in maintaining order and reducing unnecessary costs.

Know Your Customer

AI-powered services such as Veriff and Onfido are being used to accurately and quickly verify ID cards and driving licenses, streamlining the user onboarding process and enhancing security.

User Demand Prediction

Companies like Zoba are investing in AI to analyze vast amounts of data to predict where vehicles will be in demand, allowing for strategic relocation and better fleet management.

Dynamic Pricing

AI enables real-time dynamic pricing strategies, adjusting the cost of vehicle rentals based on current demand to maximize profitability.

This glimpse into the current landscape shows how AI is reshaping shared mobility. However, the full potential of AI, particularly conversational and generative AI, remains largely untapped in this domain.

Increasing Revenues through AI

At goUrban, we’re navigating an exhilarating era of innovation and transformation. In the fast-paced environment of our daily operations, it is all too easy to become immersed in the immediate tasks at hand, which often leaves little room for the kind of blue-sky thinking that fuels real progress. Recognizing this, we’ve carved out a space for imagination and strategic brainstorming, dedicated to uncovering highly effective strategies for scaling our business.

In our commitment to continuous improvement and growth, we’ve held a series of internal think tanks, bringing together the creative minds within our team to identify opportunities that promise to be more than just incremental advancements — they’re potential game-changers. We’re eager to expand this collaborative spirit beyond the walls of goUrban, which is why we’re sharing these emerging topics with you.

Our hope is that by putting these insights out into the community, we can spark a wider conversation and co-create a future where innovation thrives. Join us in this dialogue and let us explore the vast potential of shared mobility together.

How could Conversational & Generative AI be useful for our industry?

Incorporating both conversational and generative AI into the shared mobility industry could lead to a significant evolution in how services interact with users and manage operations. Here is how these technologies could be beneficial:

User Retention
Through conversational AI, shared mobility services can provide personalized interactions, remember preferences, and offer tailored promotions that can make users feel valued and more likely to remain loyal. AI can proactively reach out to users with reminders, offers, and mobility solutions that suit their patterns, potentially allowing companies to substantially increase LTV vs. CAC.

Quality of Customer Support
Conversational AI can be instrumental in maintaining a high standard of customer support. By handling routine inquiries and troubleshooting common issues, AI can ensure quick and consistent responses, improving the overall customer experience. Additionally, AI can guide customer support agents by providing them with relevant information during interactions, thereby reducing training time and making their responses more effective.

Instant Feedback
In situations where users face errors or confusion, conversational AI can provide instant, understandable feedback. Instead of generic error codes, users can receive tailored messages that explain issues in simple terms and offer solutions, significantly enhancing user experience and reducing frustration.

City Tenders
Conversational AI can aggregate and present vehicle information efficiently to city officials, ensuring compliance with regulations. When city officials request data, AI can instantly provide comprehensive reports on vehicle usage, compliance, and other relevant metrics, aiding in transparent and informed decision-making.

Maintenance
For the maintenance aspect, conversational AI can predict the need for spare parts and facilitate quick ordering, making inventory management more efficient. Mechanics can receive step-by-step instructions for repairs and maintenance, reducing downtime for vehicles and ensuring quick turnarounds.

Operational Alerts
AI can monitor fleet status in real-time and send alerts for critical events, such as when vehicles require maintenance or when inventory is low in high-demand areas. This enables fleet operators to act quickly and keep the service running smoothly. Additionally, smooth and individual instructions for actions on operational events for fleet managers can make sure to increase efficiency of the fleet.

Data Analytics and Reporting
- Insight Generation:
Conversational AI can assist operators in querying complex data sets using natural language, simplifying the process of gaining actionable insights.
- Narrative Reporting: Generative AI can convert raw data into narrative reports that are easier to understand, facilitating decision-making at all levels of the organization.

By leveraging these AI capabilities, shared mobility services can enhance operational efficiency, improve user satisfaction, and gain a competitive edge in the market. These technologies offer a more intuitive and responsive approach to managing a shared mobility platform, which can lead to a higher quality of service and operational excellence.

Follow us

We’re on the lookout for partners, collaborators, and visionaries who share our passion for shared mobility. Whether you’re a fleet operator eager to optimize your operations or a city planner seeking sustainable mobility solutions, your insights and expertise are invaluable to us. Together, we can unlock new possibilities and drive transformation that resonates across cities and communities worldwide.

Reach out to us today and discuss the potential of AI in shared mobility.

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Bojan Jukić
goUrban
Editor for

Working with a brilliant team of engineers, scientists and business people to create an operating system for shared mobility.