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It rather seems to me that Bird would know where the scooter was being charged, and where it was accumulating value in a fixed location. They can correlate this
by clort 8y ago
It rather seems to me that Bird would know where the scooter was being charged, and where it was accumulating value in a fixed location. They can correlate this information
Bird really need to structure it better, and make it clear that such actions are fraudulent. The people involved need to lose their licence to charge and their user accounts and then they won't have any way to make money or use the scooters.
- icebraining 8y agoIt rather seems to me that Bird would know where the scooter was being charged, and where it was accumulating value in a fixed location. They can correlate this information Then people will use their grandma's backyard to "abandon" them and charge at their house.
- dgzl 8y agoBetter than Grandma, you start a black market scooter trading network with like-minded folks.
- clort 8y agoFrom the companies perspective they have lots of data to analyze. I am not a statistician but I suspect that people who game the system in any way that we can think of will show up at the top of the dataset. The two most important metrics are the highest total earners and the users with the highest average charging fee. They get subjected to extra scrutiny. Plot out where they were getting the scooters from, and who used the scooters last, then if it turns out they are being fraudulent just kick them out or modify the processes so that what they do doesn't work. I suspect in the early days it doesn't really matter, since they will want fully charged scooters and a rumour you can make lots of money to incentivize people to join.
- secabeen 8y agoThey also probably have a shortage of data scientists to do the analysis. The ones they have are probably working on projects that more directly affect the bottom line, rather than eliminating externalities.