[inkaudio]

There are number of tech companies directly competing in this space:

https://standard.ai/

https://grabango.com/

https://www.getzippin.com/

https://www.v7labs.com/retail

https://www.getzippin.com/

There are competitive options, if you’re in retail you do not have to give Amazon all your “retail data” or use their tech.

[Animats]

Do any of those companies actually have a live customer? Not a demo store, a real paying customer with more than one location live?

Standard.ai apparently has a demo store in SF, although it's been closed due to the coronavirus epidemic.

Grabango - one installation in test at a Giant Eagle store.

Getzippin - one installation in test at a Lojas Americanas store. Their site gives the impression that it's really about getting people to install their phone app, so they can be spied upon.

v7labs - we're AI, we don't need installations.

[HUSSTECH]

https://www.thirdeyelabs.com/ - real customers - real money - multiple-sites Plus they beat Amazon to this concept by a good few months. https://www.thirdeyelabs.com/news. Granted all the focus/attention in this space is in the US. But it is happening elsewhere too.

[onefuncman]

Qualcomm's spinout Gimbal went broke once so far trying to bring this tech to market, but they're still muddling along.

[Animats]

Found a Grabango video.[1] They did a test for NCR.

[1] https://vimeo.com/352588185

[arcadeparade]

Reminds me of this old IBM ad: https://www.youtube.com/watch?v=wzFhBGKU6HA

[tmilard]

Yes, IBM "thinks" the future. Other companies build them.

Conclusion : ideas are worthless, Execution is key

[pixmin]

https://www.pixevia.com

At PIXEVIA we develop the technology and run a fully working convenience store in Europe.

[jeffleft]

Another one: https://www.accelrobotics.com/

[Animats]

That store looks like a render.

There are some fully automated stores the size of shipping containers in Beijing, but they're mostly demos, too.

I don't think anybody really has this working well enough to deploy. It has that machine learning "we got to 95%" look. This is something that's easy to almost do, and the last 5% is really tough.

[ehsankia]

nit: You posted getzippin twice

I do love how the very first banner video standard.ai shows is how one person passes an item to another. I'm curious to see all the edge cases Amazon Go ran into over the year or two they ran. I can see a lot of messy cases like that coming up.

[thundergolfer]

Another one is https://black.ai/

All the way down in Australia.

[Animats]

They're so cool they don't even have a demo or a video But they can do a large-scale store installation in just days, they claim.

[aetherspawn]

I knew the founder of this one in high school.

[mzanchi]

From Brazil, Beholder: https://beholder.tech/en/

Although not yet doing automatic checkout, but most of the technology needed for it is there.

[asymptotically2]

There are also existing cashierless stores in China.

https://www.youtube.com/watch?v=0QKrHi-G9WQ

[amelius]

What are the false-positive/negative rates of this technology?

What if I grab two items with one hand, and then put one back? Will the system correctly track this?

[dokem]

I think there is an argument to be made of an acceptable increase in false negatives as the cost can be recouped through the efficiency of the system. Not to mention that a system like this should also cut down on theft.

[freepor]

But Amazon is going to be the easiest to integrate, which is where Amazon will start, then use the data advantage to improve their product further.