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by jpatokal
3093 days ago
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Seems like a lot of work to get a supposed 10% agent efficiency gain, and the article is silent on whether this translates to improved customer satisfaction. If anything, it seems like this would further exacerbate the tendency of high-volume scripted support to be unable to deal with anything that's not the common case. Most ML in support implementations I've seen, including the one in my team [1], focus more on providing solutions directly to the user so they never need to talk to an agent in the first place, which (if successful) provides far large efficiency & user satisfaction gains. [1] https://youtu.be/bFHk2wUaCCs |
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I posted a ticket saying i was overcharged unfairly for a trip, and a bot resolved the issue and sent a reply apologising for the incovenience and hoping i use uber again soon.
I demanded to speak to a human, but got the same automated reply again!
Boooooo!