Ofo Distribution Process

1. To answer this question, I will give some background and data about Changning area. Changning area is one of the highly populated area in Shanghai, with many schools, hospitals, offices and public places. Distribution of bikes in this area is quiet simple. The reason is people moving to the same places and sometimes our trucks don’t need to place bicycles.

2. Which techniques do you use to forecast bike usage.

Our company have been focused on using modern technologies such as AI to make simpler and improve the management of bike sharing schemes. We have had achievement in integrating mobile, applications and AI to create a platform that helps operators to deliver an exceptional user experience. “Bike Share Scheme operators have seen how Ofo can simplify their operations with AI-based recommendations that consider millions of criteria and turn data into actionable insights. Ofo makes recommendations for distributing bikes to locations where and when they are needed. That means riders can access bikes when they want them and be sure a dock will be available at the end of their journey”. The distribution process of bikes take place with the support of mobile apps. The trucks are distributing bikes see online where to pick up or drop the bikes. Due to reduced decision making, process goes very smooth. We take compound and ever-changing urban surroundings and make them calm to understand and assist. This improves supervision and makes it easy for operators to provide the best possible experience for riders. “Riders can rely on cycling of the scheme shares and become regular users. It increases alertness and helps cities to benefit from a healthy and riders-oriented schemes bikes. Our goal is to remove friction from using bike share schemes to help operators deliver an exceptional experience of the rider, which in turn drive growth in their schemes.  AI allows them to meet the increasingly demanding expectations of the customers and helps to position the scheme of distribution of bicycles as a more reliable form of transportation than the traditional transportation network. AI allows you to take faster decisions with more precision, optimizing these decisions in real time.  This is why so many schemes throughout the world, the trial of Ofo or have already deployed it. They see the potential for AI to deliver transport services that are reliable and efficient, other applications and services that we use every day”.