In this riveting podcast episode, host Madhukar Kumar engages in a deep and enlightening conversation with Scott Booker, the Chief Customer Officer at EasyPark. Together, they embark on a journey to uncover the fascinating story behind EasyPark, from its inception and the intricate process of its creation to the breadth of its operational territories and its exciting plans for future expansion.

Scott Booker generously shares his insights into the inner workings of EasyPark, shedding light on the innovative ways they harness data to fine-tune their services. He also elucidates how cutting-edge AI and mobile technology seamlessly integrate into their approach, paving the way for an exciting future in urban mobility.

Scott also offers thought-provoking commentary on the evolution of parking management, highlighting the potential transformative impact of autonomous vehicles on parking requirements. He paints a vivid picture of the pivotal role that EasyPark envisions playing in the future of city planning, making this episode a must-listen for anyone interested in the ever-evolving urban landscape

Key Quotes:

• “Making it easy was a large part of what we're trying to do. You see it in our reviews, you see it in the feedback we get through customer care, and so forth. We make it so much easier for people to do what they need to do in terms of parking. So, we sort of gravitated in that direction.”
• “What we're trying to do is reduce that flow and congestion that happens on a regular basis in cities so that they can focus on using their investment dollars and so forth to make their cities more livable, more usable for the citizens. And so, part of that is really understanding, using that data, what's happening on an hourly basis, on a daily basis, and a weekly basis.”
• “I have responsibilities for marketing, product, customer care, and analytics So, [in] all of my areas, we'll push and lead in helping [cities] use data to make decisions. I think it's super important in this space. So if I'm on the product side, for instance, I need to understand what the data is telling me about how the app's being used, how many errors are being thrown, what's the A-B test environment look like when we're running multiple tests, because we're always in a constant, kind of mode to improve the conversion of that app. To continue to simplify. There shouldn't be any roadblocks or hindrances, to make it easy to park.”

Time Stamps

(02:45) - Introduction to EasyPark

(03:18) - The Functionality and Benefits of EasyPark

(06:06) - Real-Time Data and Analytics in EasyPark

(21:50) - The Role of AI in EasyPark

(28:39)- Quick Hits

Links

Connect with Scott

Check out EasyPark

Connect with Madhukar

Visit SingleStore