How we created a fleet management app better than the Unicorns.
Brief
In this world of technology, you would have been living under a rock if you have not heard about vehicle renting applications. There are various derivative services that have emerged because of the low entry barrier due to the advancement of technology and everyone is looking to capture a niche market to establish themselves as a big player and then planning to capture the other areas. Vehicle renting has been always been based on the availability of vehicles and some random algorithm from companies which has always been a black box for users. RIDIO wanted to create a transparent booking system for customers based on their specific requirements. All this was done using big data and machine learning to make the process without human involvement and more based on the data that was given as input to the system by users.
Problem
Getting a rented vehicle based on your aggregator’s recommendation is not something we enjoy specifically. As we are paying for services we would like to enjoy the product that we want and not some vehicle that was assigned to you by some random algorithm. People wanted something very personalizes and that make them believe that they got what they were actually looking for.
Challenges
There are many applications that exist in the market in this segment. So we were up for the challenge as we knew that people will compare us with those existing market players. We had to stay alert as people will think that we are blatantly copying the UI/UX or some of the flows from existing players. So many them were difficult to cope up with but you to have standout for making the impact on the market. We had created a team in our office to validate the market and what are the shortcomings that people are facing while using those applications. We had to stand out from those existing application and not reinvent the entire wheel.
Solution
Our team of researchers did a fantastic job of helping us with the shortcomings of existing products and how they can be packaged with our new build product. Our team went with Minimum Viable Product (MVP) to show the few of the early adopters our set of user flow and new feature set and get their feedback. To our surprise, we were pretty overwhelmed about the feedback and about the entire process of feedback looping. Our expertise over the years in the industry has helped us in achieving the awesome flow in the application and its usability. We were pretty sure about the interfaces that we build and the engine that we built for getting the results was a pure genius from our code ninjas. The engine that we made was utilizing the newest form of AI principles and other machine learning secret recipe that we have created in house for helping our clients with the solutions they needed.
Still Confused? or Got an Idea and Need validation.
Book a 30-minute free consultation with us and learn about our iOS development process.
Shoot an Email at startup@helixtech.co
Reach us at +919823245881
Skype ID: /helixtech7
