5,200 Stores Turn to AI Voice | Fast Five Shorts

This Omni Talk Retail Fast Five segment, sponsored by the A&M Consumer and Retail Group, Mirakl, Ocampo Capital, Infios, Quorso, and Veloq, looks at independent convenience stores deploying AI-powered voice insights across 5,200 locations.
Chris Walton and Anne Mezzenga, joined by Jenn Hahn, break down how real-time AI analytics are transforming store operations, workforce monitoring, and frontline decision-making.
⏩ Tune in for the full episode here.
#ConvenienceStore #RetailAI #VoiceAnalytics #StoreOperations #RetailInnovation #OmniTalk
00:00 - Untitled
00:28 - The Impact of AI on Retail Customer Interaction
01:12 - Balancing Technology and Employee Privacy
03:45 - The Impact of Privacy on Convenience Store Operations
05:36 - Privacy Concerns in Retail Environments
06:35 - Coaching and Development Opportunities in Customer Interaction
08:17 - The Challenges of Convenience Store Management
Independent convenience stores are deploying AI powered voice insights across 5200 locations through a partnership between the Strategic alliance for Affiliated Store Owners of America and In Store AI.
Speaker AAccording to C Store Dive, the technology captures interactions between cashiers and customers and feeds that data into dashboards where team members can monitor how employees greet customers, mention loyalty programs and attempt to upsell.
Speaker AJagar Patel, VP of SAA SOA usa, said, quote, by capturing and analyzing the everyday conversations at the counter In Store AI gives our retail members clear transparency into what's working and what isn't.
Speaker AEnd quote.
Speaker AThe rollout began this month and will continue through the year with implementation support, best practice playbooks and access to insights for leaders at basic various organizational levels.
Speaker AChris, I'm going to go to you first on this one.
Speaker AYou remember we interviewed J. Bleszinski, the founder of In Store AI back at max a few years ago.
Speaker AWe were really impressed by the technology and so I congrats to Jay.
Speaker AThis is a big, big announcement for you and the team.
Speaker ABut Chris, I wonder what your thought is now in 2026, how should operators balance the operational benefits of this technology with the potential employee privacy concerns, if any?
Speaker BYeah, I mean this was a really tricky, tricky question in today's environment.
Speaker BBut it's also one, you know, to your point, when I was super pumped when we interviewed him because this concept is near and dear to my heart.
Speaker BAnd so for that I'm going to tell you a little story like so when I was a district manager at Target, there was a big push to have our stores and our cashiers specifically to sell red cards.
Speaker BAnd getting compliance for that was really tough.
Speaker BAnd so I ended up coming up with this system where I created a spreadsheet and I required all of my managers of the cashiers to send it to me every evening to update me on how their cashiers were performing in terms of selling red cards.
Speaker BAnd you know what?
Speaker BIt worked.
Speaker BBut at the end of the day, it worked so well that we actually were like became one of the best selling region best sellers of red cards in the entire west coast coast region of Target.
Speaker BLike, that's how well it worked.
Speaker BBut the thing is, for me, I took no satisfaction in that because it was incredibly time consuming and a huge pain in the butt for me.
Speaker BBut most importantly for my stores, I didn't want them having to waste time recapping data for me that's completely inefficient.
Speaker BSo a system like this that could monitor it in real time to understand like did the cashier Offer a red card to that person.
Speaker BDid somebody sign up off that offer?
Speaker BAll that.
Speaker BAll that data should now be coordinated and could be analyzed as an executive or as the managerial staff in the store to help improve things.
Speaker BSo, so for that reason, I love this, and that's just one example.
Speaker BBut you can go into all kinds of different things, like upsells, like you talked about.
Speaker BBut, you know, the question is the privacy.
Speaker BBut I don't think that's.
Speaker BI don't think that's as big of a concern as the media would like us to believe.
Speaker BI mean, first of all, their employees, they're not shoppers, and you already have cameras trained on the cashiers anyway.
Speaker BSo this is just a further step in compliance, which also probably helps you, at the end of the day, pick up on some other things too, which could be, you know, illegal activities, which wasn't talked about in the article.
Speaker BYou know, that they're letting their friends come by and their friends are like, hey, can you give me a deal on this?
Speaker BYou know, don't.
Speaker BDon't swipe the yogurt today brand, you know, whatever it is.
Speaker BBut, like, that stuff happens too.
Speaker BSo, so, yeah, so, net.
Speaker BNet.
Speaker BI like this.
Speaker BI'm, I'm less concerned about it from a privacy standpoint and think it has real legs here in the long run.
Speaker AYeah, I, I, Especially in a convenience store.
Speaker AI mean, cameras are core to a convenience store, especially with their lean labor that they already have.
Speaker ALike, things are already being tracked.
Speaker ASo I, I don't buy the privacy component to this.
Speaker AAnd I actually think this is something that's a win across the board for everyone.
Speaker AAnd think about your, your cashier working at the convenience store by themselves.
Speaker ALike, no one's there to track their progress, to incentivize them, to reward them, to be like, yes, you did a great job.
Speaker ALook at all the stuff that you accomplished, you know, while you were working there and continue to promote, you know, esteem among your staff that's working in these stores most of the time, independently.
Speaker AThen I think you look at all of the data that you now are able to provide both your retail partners, the owners of the convenience stores and, and the brands that are running these promotions.
Speaker AAnd that's one of the things that Jay told us back when we interviewed him at nax, was that, you know, now they can give concrete information and say, no, you know, Gatorade.
Speaker AIt wasn't.
Speaker AThe problem isn't that we're not asking people.
Speaker AWe are asking people.
Speaker AThey just, the offer is not good enough or we have to rethink how we're approaching this.
Speaker AAnd they've never had that data.
Speaker AIt's all been based on, you know, the Gatorades had all the power in this up to this point because they're like, you're not performing.
Speaker ABut now they can both be be looking at the same data and really figuring out how to solve these problems together.
Speaker ASo I, I think this is a really great move.
Speaker AI'm hopeful we see more C store retailers and other retailers exploring this type of technology as we kind of continue out and the workforce changes so much.
Speaker AAnd Jen, I'd love to have you wrap us up on thoughts here with that changing workforce and also answering your kind of thoughts about the privacy element of this and what, what employees should expect.
Speaker CI agree with both of you.
Speaker CI think privacy concerns aren't a real issue when they're in the store.
Speaker CClocked in.
Speaker CRight.
Speaker CLike, we're not monitoring their conversations outside of the store.
Speaker CWhen it comes to privacy concerns, things people are talking about and employees are talking about is more, what can I put on social media and what can't I like, like, where do I represent this brand and where am I?
Speaker CJust a human speaking my mind.
Speaker CSo in this case, I don't see that being an issue.
Speaker CThey're in the store, they're clocked in.
Speaker CI think it's fair game.
Speaker CI see the implementation of this as long as it's geared towards.
Speaker CThis is a coaching and development opportunity for you.
Speaker CI see it being a win win if it's pushing too much on.
Speaker CWe need to upsell.
Speaker CWe need to upsell.
Speaker CAnd it's causing these cashiers to have inauthentic conversations like, hey, I got to mention Gatorade.
Speaker CYou're buying coffee and donuts.
Speaker CYou want to Gatorade with that?
Speaker CI don't know.
Speaker CLike, could it have some negative implications?
Speaker CMaybe.
Speaker CBut I think really the opportunity here is how to coach and develop even the most basic things.
Speaker CIt was mentioned, like greeting the customer.
Speaker CYou don't know how many or we do, right as consumers and customers, how many people miss the art of just starting a conversation and the way that that actually builds loyalty in a lot cheaper fashion than a loyalty program.
Speaker CSo if the person at 711 says, hey, how are you today?
Speaker CI saw you're getting a donut.
Speaker CCan I interest you in coffee?
Speaker CThat's a real opportunity.
Speaker CAnd I think if this is used as a coaching and development tool and if the leadership uses it in that way, there are huge opportunities here.
Speaker CIt's a cool technology.
Speaker CIt's almost like smart house and all of technology.
Speaker CRight.
Speaker CIt's really cool unless it goes too far.
Speaker CBut I think there's a lot of upside.
Speaker AYeah.
Speaker AAnd I think you call it a really important point of the, the wins here too, and that's the customer.
Speaker AI mean, who's expecting to have a positive experience when you go into a convenience store?
Speaker APretty much no one.
Speaker ASo this, this really enables that, even just saying hello and greeting somebody.
Speaker ABut Chris, close us out here with your thoughts.
Speaker BYeah, I think I love how Jen said, like, it should be used first and foremost as like a training tool, you know.
Speaker BAnd I think of the other element of training too are there are things that stores have to comply with from a regulation standpoint as well.
Speaker BSo, like, you know, I think convenience stores, I think of alcohol, tobacco sales.
Speaker BLike, are your, are your employees asking to see IDs, for example, and training them and coaching them if they're not, like, that's valuable, valuable data points for retailers, you know, in the long run.
Speaker BAnd, and the other point I make too is like, you're dead on, like convenience store industry, man.
Speaker BThey're rushing after AI.
Speaker BAnd you can see why because they're, they're, they're resource constrained in their stores.
Speaker BI mean, if I use that district manager example at Target, it's exponentially more difficult as a district manager for a convenience store because you're operating even more of them and they're spread out even more across a region.
Speaker BSo, yeah, 100%, this is a great idea.





