Modernizing Today's Parking Payment Solutions

AI-enabled solution and modern interface generates $2MM in new revenue
Challenge
Our client was modernizing their legacy rate engine to become more performant, intuitive and to incorporate modern features requested by the customer. Their current system made rate setting cumbersome. The frequent need for complex rules resulted in calls to the customer service team of the global parking management company. The poor experience led to unnecessary costs, longer cycle times, customer frustration, and the occasional misconfigured rate.
OUTCOMES

The new self-service capability became a differentiator for the global parking management company in the market it serves.  It quickly resulted in the acquisition of incremental parking facility operators and $2M of additional revenue. It has the added benefits of decreasing the volume of support calls, reducing the associated labor costs, and accelerating rate setting. Altogether a huge win for our client and its customers.

Incremental Revenue via Differentiated Offering

Showcasing this new capability at a recent national conference drove the acquisition of incremental parking operators, resulting in $2M of net new projected revenue for the global parking management company.

Lower Cost-to-Serve from Fewer Support Calls

Full self-service rate management cuts the global parking management company’s internal costs by reducing the need for labor dedicated to customer support related to rate setting.

Self Service Capability & Enhanced Scalability

The enhanced rate creation experience and rate simulation feature accelerate rate setting and enable the global parking management company to scale its business faster and more efficiently.

Image of a computer interface showing ability to set different rates throughout a day
The Solution

AI-Tuned Parking Rate Solution with a Modern Interface

Designed a new rules management process for setting rates and added capabilities to the system. While the updates provided a marked improvement relative to their legacy system, user testing feedback indicated it remained too complex for users to understand and interact with directly, so it would require additional training and onboarding time.

In response to this feedback, Dialexa designed and implemented an improved rate management experience with a simplified, natural language interface powered by a Generative AI Large Language Model (“LLM”).

An intuitive, graphical representation of the rules and the ability to create nuanced rates for particular time ranges allows parking facility operators to easily state rules using natural language, see the resulting rates across time, make their desired modifications, and set their rates once perfected.

One crucial area the project was able to address was the integration of the customer’s voice in the ideation or evolution journey, facilitating a deeper understanding and commitment to meeting user needs. The project also created a clear path between new ideas and product development, enhancing transparency and traceability within the innovation pipeline.

Client

A leader in parking management systems

Tags
Industrial
Roles
  • Engagement Manager
  • Engineering Lead
  • Design Lead
  • Senior Designer
  • Senior Engineer
  • Product Manager
  • Engineer
THINKING
  • Digital Product Engineering
  • Generative AI
  • User Experience Design
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