Tachain is creating a rating system for both passangers and drivers that would be stored on their blockchain platform. This system would change the course of the transportation model, great ideas from their team. I can say Investors are in great hands.
I think the fact that drivers can rate their passengers as well is a huge for the drivers, should increase their safety overall and stop the ones who run off without paying for example
This kind of feature is available with most taxi services. Most notably Uber. However, I do think it could be done more efficiently. There should be more ways of rating your driver and it should include all kinds of ratings e.g. sense of direction, politeness, timing, cleanliness...
That will ensure an effective mode of transportation in terms of good customer service, so its not just about earning but creating a new breed of professional drivers and i do hope to see the community use it effectively, its really a great opportunity for tachain, as they are the first in the blockchain industry to come up with such and the first to have such concept
Yeah it improves the overall service, it also allows more customisation, people have different needs when it comes to getting a taxi, e.g lift to the station, help doing an old lady do her shopping. Another reason why this is important is because some drivers also have different needs and working schedules, for example they might need to work around taking and picking up their kids from school and some might have day jobs and can only do nights. What we all want is increased flexibility and less rigid requirements, I think through the use of AI and reviews, past data & performance Tachain could develop a financially stable project that offers many benefits and a better service than what is currently on offer.
You're right, flexibility matters a lot in every business and that's something users tend to look for in anything that they intend to get involved in, a rigid brand is bound to fail and i love the fact that they are putting that into consideration through the use of AI because when the data generated is not encouraging, the team can adjust to make the result better