Agentic Commerce: The $1 Trillion Retail Revolution Coming by 2030

Here are a few highlights of the exciting research publishing this week on Corsight.com. We have a report on the impact of growing demand for vintage and luxury clothing on the fashion resale market. A preview of planned consumer spending surrounding the upcoming FIFA World Cup matches. A trend report on e-commerce and beauty, an AI playbook for retail executives, and a free report on the growth and size of the agentic commerce market. With more on that, here's Deborah.

and how to? In the thought process around scaling. So where is the industry? What are the kind of different Arrows that I can put into the quiver, if you will. And then what does the bullseye ultimately look like? And I think the timing was. incredibly interesting with some of what Jensen just spoke about from NVIDIA. And this idea that almost the the chip companies ended up being kind of the the AI factory and which is something I've always thought you would need ultimately.

And I like to think about it in that way. And then having the large language models is kind of the the reasoning engines, right? They're they're kind of doing all the the throughput. And then companies like Resolve will be the commerce operating engines or platforms. or systems, however you want to look at it. And so it it really helped kind of frame up a lot of what we went through in this report, which is incredibly dense. So I'm gonna try and just tackle one piece of it.

And you know, with a little bit of background to to make this worth your time.

One of the biggest challenges we faced as an organization was thinking about the true kind of longer term agentic commerce market size. So we had sized it up in like twenty six, but looking ahead of twenty thirty, I would say that a lot of what we're seeing is progressing faster than what we at Corsite had. expected. And as a result, right, this number is probably a little over a trillion versus some numbers in the market that are as low as like three hundred or four hundred.

you know, and we're just talking US domestically. And so that's a that's a big number. And I think that when you start to look at what can enable that and why, that really starts to help us think differently. And so Some of our conversations and some of our consulting projects recently have been focused on demand forecasting, inventory allocation, right, pricing, promotion. And I I think that you've got, at least in our world, I mean, there's always a lot of change, but

With with GLP one as an overlay and right the number of people who've been on, you know, uh let's say a prescription or a compound.

and and what that curve is, you know, kind of continuing to grow. So you're talking about twenty percent of the US population and we're seeing a huge change in right sizing profiles, right? I mean there there have been a lot of conversations about, right, the money that airlines have saved because people weigh less and all kinds of other conversations around this topic. But when we think about it for

Apparel, footwear, accessories, FMCG, food, drug, masks. They are different problems to solve. So in

apparel footwear accessories, it's size. For the most part, size and maybe even fabrication. And then for let's call it non apparel or non discretionary, the challenge is people are just eating really differently. And n it's not just a quantity, right? There's huge focus on protein and

you know, many, many other aspects of of the diet and calcium and whatnot. So I I think that this like the whole kind of agenda commerce kind of operating systems combined with this significant change in the consumer preferences, desires. you know, that that kind of in lockstep is leading to I think more companies thinking about their commerce journey in a new way. And we we had this grey chart

Uh kind of consumers are embracing Gen AI for shopping. And when we surveyed people, 60% of consumers would like to or have already used Gen AI to shop.

And so if you think about it, right, if you're using an agent on a website, right, you're like, is this periwinkle or lavender, right? What it what's the color? What's the fabrication? And you know, if it's Uh let's call it if it's if it's ninety nylon and ten elastic right, like these kinds of questions around the garment itself will help you, the consumer, make a better decision and ultimately lead and it's not ultimately like

immediately lead to lower returns. The other interesting there are many interesting stats in this report, but twenty nine percent of consumers are more likely to shop on a website with an AI chatbot. Once again, I Personally, I find that I'm just getting used to having an easier journey, less friction, however you want to to kind of think about that. Four percent though people have actually completed a purchase inside of like a large language model, which

considering the amount of work we've done in in live streaming, live shopping, live commerce, and where where that market has kind of progressed too, I think it's it's it's evolving quickly. But the idea that it's four percent makes makes complete sense to me for for better or worse. And I do think that there are three three challenges that we face. So

Trust and control, right? Consumers worry about wrong purchases, privacy, fraud, and loss of control when agents transact autonomously. I mean, who wouldn't be? That's common sense that you'd be. worried about that. Number two, I think from both the retailer and the consumer perspective, the integration and friction and checkout. So we saw some of the L O Ms scale back on instant checkout. indicating friction was higher than expected.

We've tested the function in which a number of use cases required human intervention or just didn't work. And true inertia. So users still need time to get used to transactions with AI engines. And some of the questions that we're getting is just kind of like how does this play out over time? I mean, I think we we continue to see this get easier, we continue to see more adoption. And that's why I think we're comfortable with this AI inspired uh agentic, you know

inspired, mediated, orchestrated to be kind of over a trillion dollars by the time we get to twenty thirty, which is not that far away at the end of the day. So please read the report. It is a good one.

And we hope to see you all very soon. Please reach out with any questions and of course any topics that you would like us to cover. Thanks. And uh we'll try and do more of these kind of quick updates just to make sure that our thoughts are in your hands. Thank you.

Visit us at Corsite dot com to learn about all the ways we can support your success. Have a wonderful week.