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> Could AI identify long lines outside of restaurants Google already gives you the hours that restaurants are busiest, so they basically have this info
by ubercore 8y ago
> Could AI identify long lines outside of restaurants
Google already gives you the hours that restaurants are busiest, so they basically have this info
- stcredzero 8y agoI've seen that part of the Google listing, which is part of the reason why I made the suggestion. Google shouldn't just go by raw traffic, however. Traffic means different things at different times to different kinds of venues. High traffic at the DMV doesn't mean it's an awesome place. A line of 20 people means one thing to a sit down restaurant and something very different to a Boba tea place. I suspect that AI applied here would be highly useful.
- ubercore 8y agoRight but if you're talking about restaurants, where people want to be (rather than the DMV where they have to be), I don't see why busyness isn't essentially the same as looking at lines outside.
- stcredzero 8y agoA line of 20 outside a sit down restaurant that isn't even open means one thing if it's 30 minutes before it opens, another if it's already open. A line of 10 in front of a Boba tea place means something very different than a line of 10 in front of a sit down restaurant. Busyness wouldn't just be used as a measure of busyness. It could be used as a proxy for other qualities. Another example: There are restaurants that have ample waiting areas and others that have none. Those in the waiting area wouldn't necessarily mean the same thing to a customer's experience than the same people seated at a table. Likewise for people standing outside vs. waiting inside. At a very basic level, throughput (Little's Law) should also be taken into account. My point is there would be value in such proxy measures, if some AI were used for interpretation.