Rezolve CEO Sees Growing Competition Over Control of AI Shopping
PYMNTS Podcast · 2026-04-06 · 25 min
Substance score
46 / 100
Five dimensions, 20 points each
What our scoring noted
Our reviewer’s read on each dimension, with quotes from the episode.
Insight Density
There are a handful of non-obvious observations - particularly the infrastructure-load consequence of agents querying 500 retailers simultaneously instead of 1-2, and the merchant-side gatekeeper concept - but much of the 25 minutes is speculative vision-casting, self-promotion, and high-level platitudes with no operational texture.
the implications of that are that every e-commerce platform on the planet needs to scale up to manage that load. That load and the internet itself needs to scale up to manage that load.
we have built agent infrastructure for the merchant to talk to agents, to control the narrative with the agents that are coming into their site
Originality
The merchant-side agentic gatekeeper framing is a modestly fresh angle on a well-worn topic, but the core thesis - 'e-commerce is dead, agentic is next, blockchain will carry it' - is a recycled provocateur take that circulates widely and is asserted without first-principles reasoning or evidence.
E-commerce as we know it is dead. It's over. That interface is finished.
The new system is agentic, the new agentic system sits on the blockchain, the new payment systems is stable coins.
Guest Caliber
Wagner has genuine practitioner credentials - digitizing newspapers in 1984, a cloud commerce platform predating Salesforce - and is an active founder/CEO, not a career speaker; however, in this episode he performs almost entirely as a promoter of his own vision rather than sharing the kind of hard-won operational detail that justifies high caliber scores.
I was one of the pioneers in um in online enterprise e-commerce with with Bender in 1998, which was a cloud-based commerce stack before we were thinking of cloud-based anything
Salesforce started in 1999, we started in 1998
Specificity & Evidence
The episode is nearly devoid of real data: no customer names, no revenue or conversion metrics, no timelines, and no case study detail; the few specific references (Walmart/OpenAI, ChatGPT/Stripe) are name-drops without substance, and 'amazing momentum' and '500 stores' are illustrative, not evidential.
We've seen it recently with Walmart kicking out OpenAI and many, many other examples you would all know.
just because they did a deal with Stripe, I think ChatGPT, and they did, you know, we'll pay, we'll pay you
Conversational Craft
Webster earns partial credit for her concrete 'toaster problem' challenge and for pressing on why new payment credentials are needed when tokenized ones already exist; however she lets the guest's repeated unsubstantiated claims ('we're the only ones,' 'amazing momentum,' blockchain as the answer) pass unchallenged and closes with generic congratulations.
So so so why so why do you think there needs to be new payment credentials when consumers have payment credentials that are tokenized, and these tokens can carry intelligence around identity and preferences?
the toaster problem, you know, failed on two, on two things. One, it didn't return the brand that I wanted to buy. And two, I couldn't buy it.
Conversation analysis
Computed from the transcript - who did the talking, and the verbal tics along the way.
Filler words
Episode notes
Rezolve AI Founder and CEO Dan Wagner says agentic commerce needs guardrails around inventory, identity and payments.
Full transcript
25 minTranscribed and scored by The B2B Podcast Index.
1 00:00:06,320 - > 00:00:10,000 Narrator: This is Monday Conversation, a PYMNTS podcast. 2 00:00:10,000 - > 00:00:13,039 Karen Webster sits down with the visionaries behind the 3 00:00:13,039 - > 00:00:16,239 trends for the stories shaping what's next in payments and 4 00:00:16,239 - > 00:00:17,120 commerce. 5 00:00:17,120 - > 00:00:22,239 In this episode, Payments CEO Karen Webster sits down with 6 00:00:22,239 - > 00:00:27,760 Rezolve Ai Founder and CEO Dan Wagner to talk about how Agentic 7 00:00:27,760 - > 00:00:32,079 Commerce meets guardrails around inventory, identity, and 8 00:00:32,079 - > 00:00:32,960 payments. 9 00:00:38,079 - > 00:00:41,520 Karen Webster: Dan Wagner is the founder and CEO of Rezolve, a 10 00:00:41,520 - > 00:00:44,799 company focused on bringing AI-driven commerce directly into 11 00:00:44,799 - > 00:00:46,399 the consumer experience. 12 00:00:46,399 - > 00:00:50,560 Long known as a bold and sometimes controversial voice in 13 00:00:50,560 - > 00:00:54,000 technology, Dan has built a career at the intersection of 14 00:00:54,000 - > 00:00:57,920 data, digital transformation, and disruptive business models. 15 00:00:57,920 - > 00:01:02,240 From his early work in data analytics back in 1984 to his 16 00:01:02,240 - > 00:01:06,159 current focus on embedding AI into the fabric of commerce, 17 00:01:06,159 - > 00:01:09,599 he's consistently pushed the idea that technology shouldn't 18 00:01:09,599 - > 00:01:13,200 just inform decisions, it should also execute them. 19 00:01:13,200 - > 00:01:16,400 So today we're going to explore what that means in the age of 20 00:01:16,400 - > 00:01:17,680 agentic AI. 21 00:01:17,680 - > 00:01:22,000 If software can act, transact, and make decisions on behalf of 22 00:01:22,000 - > 00:01:25,760 consumers and businesses, how does that really reshape 23 00:01:25,760 - > 00:01:28,400 commerce, control, and trust? 24 00:01:28,400 - > 00:01:30,400 Hey Dan, it's great to see you. 25 00:01:30,400 - > 00:01:34,079 I'm looking forward to getting caught up on all the great 26 00:01:34,079 - > 00:01:37,920 things you're doing with the Resolve and in particular your 27 00:01:37,920 - > 00:01:42,799 points of view on the future of commerce when agents are at the 28 00:01:42,799 - > 00:01:43,280 controls. 29 00:01:43,280 - > 00:01:44,879 So thanks for taking the time. 30 00:01:45,359 - > 00:01:46,640 Dan Wagner: Thank you very much for having me. 31 00:01:46,640 - > 00:01:47,760 It's a pleasure. 32 00:01:48,400 - > 00:01:50,319 Karen Webster: So let's start with a little context. 33 00:01:50,319 - > 00:01:56,799 You've spent a long time really trying to reshape how people 34 00:01:56,799 - > 00:02:02,239 interact with commerce and data from your very, very early days 35 00:02:02,239 - > 00:02:03,680 in 1984. 36 00:02:03,680 - > 00:02:08,719 That was that was sort of groundbreaking with MAID MAID. 37 00:02:08,719 - > 00:02:16,879 I mean, to start us off, in your view, what's changed the 38 00:02:16,879 - > 00:02:18,719 most over that period of time? 39 00:02:18,719 - > 00:02:20,639 What keeps breaking? 40 00:02:20,639 - > 00:02:25,599 And now with Agentic, whether you think commerce and 41 00:02:25,599 - > 00:02:29,599 innovations related to commerce is really different. 42 00:02:31,680 - > 00:02:34,639 Dan Wagner: Well, so when I started, uh people didn't have 43 00:02:34,639 - > 00:02:35,280 computers. 44 00:02:35,280 - > 00:02:39,039 So the IBM PC was being introduced on the year that I 45 00:02:39,039 - > 00:02:42,159 started my first information business or my online business. 46 00:02:42,159 - > 00:02:45,199 And so what's happened in that period, you know, from the the 47 00:02:45,199 - > 00:02:49,919 the early days of technology making things easier, uh from 48 00:02:49,919 - > 00:02:54,000 you know, having in my case, having to go to a library. 49 00:02:54,000 - > 00:02:57,840 Uh and in 1984, I started digitizing newspapers so you 50 00:02:57,840 - > 00:03:01,120 could interrogate a newspaper and get an article instead of 51 00:03:01,120 - > 00:03:03,840 having to go to the library to get it physically. 52 00:03:03,840 - > 00:03:09,439 Um, that seems like an age ago, and it was, um, to then being 53 00:03:09,439 - > 00:03:14,400 able to search anything on the internet 10, 15 years later, and 54 00:03:14,400 - > 00:03:19,039 then being able to buy anything without leaving your home. 55 00:03:19,039 - > 00:03:25,280 Um, these generational changes in in the way in which we 56 00:03:25,280 - > 00:03:28,879 interact with the world around us uh has happened in a in a 57 00:03:28,879 - > 00:03:31,120 fairly contracted period of time. 58 00:03:31,120 - > 00:03:36,479 But what's happening now is in a whole new scale of 59 00:03:36,479 - > 00:03:39,120 extraordinary potential. 60 00:03:39,120 - > 00:03:45,199 I've never seen anything quite so exhilarating uh as what's 61 00:03:45,199 - > 00:03:47,439 happening with generative AI. 62 00:03:47,439 - > 00:03:51,520 And of course, people like me were very much involved in its 63 00:03:51,520 - > 00:03:55,840 nascent development, you know, from concept-based retrieval 64 00:03:55,840 - > 00:03:59,439 technologies in the 90s, uh, where, you know, to predictive 65 00:03:59,439 - > 00:03:59,919 typing. 66 00:03:59,919 - > 00:04:04,000 This is all part of the grounding of uh what's known as 67 00:04:04,000 - > 00:04:06,879 Gen AI, where the perception is you're having a conversation 68 00:04:06,879 - > 00:04:10,080 with a computer when what you're actually doing is talking to a 69 00:04:10,080 - > 00:04:13,759 probabilistic mathematical algorithm that is guessing the 70 00:04:13,759 - > 00:04:16,399 next word, the next word, the next word to make a sentence and 71 00:04:16,399 - > 00:04:20,319 the next sentence to create the impression of a conversation. 72 00:04:20,319 - > 00:04:23,279 But for all intents and purposes, it is a conversation 73 00:04:23,279 - > 00:04:25,120 because that's how we communicate. 74 00:04:25,120 - > 00:04:32,160 I think that the the implications of that are much 75 00:04:32,160 - > 00:04:35,920 greater than simply the convenience of conversing with 76 00:04:35,920 - > 00:04:39,279 computers in the way that we converse with human beings. 77 00:04:39,279 - > 00:04:46,319 Uh and I have a view around how this is going to affect our how 78 00:04:46,319 - > 00:04:54,800 this is going to uh uh uh expose itself to us in changing 79 00:04:54,800 - > 00:04:57,759 the way we interact with the internet as we know it or 80 00:04:57,759 - > 00:04:58,879 digital channels. 81 00:04:58,879 - > 00:05:02,560 Uh and I believe it's going to be all agentic, and it's gonna 82 00:05:02,560 - > 00:05:07,279 be agentic, and what I mean by that is a consumer to an agent 83 00:05:07,279 - > 00:05:09,360 or an agent to an agent. 84 00:05:09,360 - > 00:05:17,199 So to give you the example, I go www maces.com and I have a 85 00:05:17,199 - > 00:05:22,160 conversation with an agent, a technology, a piece of 86 00:05:22,160 - > 00:05:26,720 technology that represents Maces as the best salesperson for 87 00:05:26,720 - > 00:05:30,000 Macy's that you could possibly meet if you were to walk into 88 00:05:30,000 - > 00:05:31,279 Macy's tomorrow. 89 00:05:31,279 - > 00:05:34,240 And they would walk you around the store, get whatever you need 90 00:05:34,240 - > 00:05:36,639 because they know everything about every product. 91 00:05:36,639 - > 00:05:40,399 That's the kind of uh thing that we're delivering to 92 00:05:40,399 - > 00:05:41,199 customers. 93 00:05:41,759 - > 00:05:44,240 Karen Webster: But but but but but but but Dan, that assumes 94 00:05:44,240 - > 00:05:49,040 that you're going to www.maces.com, which a lot of 95 00:05:49,040 - > 00:05:52,959 people don't start their journey at the merchant, they start 96 00:05:52,959 - > 00:05:56,639 their journey at the prompt with one of the AI models, which is 97 00:05:56,639 - > 00:06:00,000 so that's the second, so that's the second uh that's the second 98 00:06:00,000 - > 00:06:02,079 one, Carol, which is agent to agent. 99 00:06:02,160 - > 00:06:04,560 Dan Wagner: So the second scenario is that Dan Wagner 100 00:06:04,560 - > 00:06:07,759 doesn't go to Macy's.com instead of going to Macy's and saying, 101 00:06:07,759 - > 00:06:10,480 hey, I'm looking to buy a gift for my wife, you know, I don't 102 00:06:10,480 - > 00:06:12,639 want to spend more than a couple hundred bucks and I don't know 103 00:06:12,639 - > 00:06:15,920 what to get, and being presented with lots of different products 104 00:06:15,920 - > 00:06:17,759 from different departments instead of me going department 105 00:06:17,759 - > 00:06:20,560 to department, the way we do it at the moment is not really the 106 00:06:20,560 - > 00:06:23,360 way you shop online, you know, the way you shop in physical 107 00:06:23,360 - > 00:06:24,319 stores is different. 108 00:06:24,319 - > 00:06:28,879 Uh, we're gonna replicate through generative AI, and we 109 00:06:28,879 - > 00:06:31,360 are doing that, a much richer experience. 110 00:06:31,360 - > 00:06:33,759 But in answer to your point, you're absolutely right. 111 00:06:33,759 - > 00:06:37,920 The other way is that I go to ChatGPT or I go to Gemini or I 112 00:06:37,920 - > 00:06:41,759 go to Siri or I go to Copilot or something, and I say, Hey, I'm 113 00:06:41,759 - > 00:06:42,800 looking for a gift for my wife. 114 00:06:42,800 - > 00:06:44,959 I don't want to spend more than 200 bucks, you know, I'm not 115 00:06:44,959 - > 00:06:45,680 quite sure what to get. 116 00:06:45,680 - > 00:06:46,800 What do you recommend? 117 00:06:46,800 - > 00:06:48,560 Now, what happens? 118 00:06:48,560 - > 00:06:53,360 It's not happening yet exactly, it's started starting down, but 119 00:06:53,360 - > 00:06:57,600 what will happen is OpenAI or one of these agents, one of 120 00:06:57,600 - > 00:07:02,720 these uh interfaces will fire off hundreds of agents to 121 00:07:02,720 - > 00:07:07,439 hundreds of retail stores in a blink of an eye and interrogate 122 00:07:07,439 - > 00:07:10,800 all of them and then assimilate all the results and then come to 123 00:07:10,800 - > 00:07:12,879 me and say, hey, there's lots of things that you can buy, your 124 00:07:12,879 - > 00:07:15,839 wife that is under 200 bucks, from these things to these 125 00:07:15,839 - > 00:07:16,000 things. 126 00:07:16,000 - > 00:07:18,399 Or how can I help you navigate that down? 127 00:07:18,399 - > 00:07:23,199 Uh uh and eventually I will end up buying something from a 128 00:07:23,199 - > 00:07:24,000 retailer. 129 00:07:24,000 - > 00:07:28,000 Okay, so there's two things that that that implication that 130 00:07:28,000 - > 00:07:28,800 implies. 131 00:07:28,800 - > 00:07:31,920 The first is that you and I, if I said I've got to go and buy a 132 00:07:31,920 - > 00:07:36,240 pair of trainers, I'd go WWFootLocker and WW Nike, I go 133 00:07:36,240 - > 00:07:40,639 to one or two stores, maybe via Google or whatever, and then I'd 134 00:07:40,639 - > 00:07:43,680 end up selecting a pair of shoes and buying them, right? 135 00:07:43,680 - > 00:07:46,879 But the future is gonna be that I'm gonna go to ChatGBT or 136 00:07:46,879 - > 00:07:50,639 Gemini and it's gonna interrogate 500 stores. 137 00:07:50,639 - > 00:07:54,160 Every time I ask for something, instead of it being two or 138 00:07:54,160 - > 00:07:57,199 three, it's gonna be 500 in real time. 139 00:07:57,199 - > 00:08:00,879 The implications of that are that every e-commerce platform 140 00:08:00,879 - > 00:08:04,560 on the planet needs to scale up to manage that load. 141 00:08:04,560 - > 00:08:08,240 That load and the internet itself needs to scale up to 142 00:08:08,240 - > 00:08:08,879 manage that load. 143 00:08:08,879 - > 00:08:09,920 Is the infrastructure there? 144 00:08:09,920 - > 00:08:10,879 I don't think so. 145 00:08:10,879 - > 00:08:12,959 So we're investing in an infrastructure in the 146 00:08:12,959 - > 00:08:13,680 blockchain. 147 00:08:13,680 - > 00:08:17,680 I I think that there is gonna be dramatic shifts here that a 148 00:08:17,680 - > 00:08:19,360 lot of people don't fully appreciate. 149 00:08:19,360 - > 00:08:23,040 Even people in my industry who are talking, talk, agentic, 150 00:08:23,040 - > 00:08:25,759 blah, blah, they don't even have a clue of what the implications 151 00:08:25,759 - > 00:08:26,800 of this will be. 152 00:08:27,279 - > 00:08:30,319 Karen Webster: So I agree that that is the future, and we've 153 00:08:30,319 - > 00:08:35,759 seen some of the early evidence that you know the version one 154 00:08:35,759 - > 00:08:39,519 pilots of of what you described, the true eugenic experience, 155 00:08:39,519 - > 00:08:43,679 haven't necessarily delivered the outcomes that everyone's 156 00:08:43,679 - > 00:08:46,240 hopes and expectations thought they would deliver. 157 00:08:46,240 - > 00:08:48,399 I wrote a piece on this a couple of weeks ago. 158 00:08:48,399 - > 00:08:52,080 I called it my toaster problem, where I did exactly what you 159 00:08:52,080 - > 00:08:55,759 what you suggested, but I I knew the toaster I wanted to buy, 160 00:08:55,759 - > 00:08:59,519 but I was sort of testing the models to see whether they would 161 00:08:59,519 - > 00:09:03,360 actually return the brand of toaster that I wanted. 162 00:09:03,360 - > 00:09:08,720 I wanted to see how extensive the agent search would get, and 163 00:09:08,720 - > 00:09:12,879 then what would happen once I was given a selection of things 164 00:09:12,879 - > 00:09:13,360 to buy. 165 00:09:13,360 - > 00:09:18,000 And the toaster problem, you know, failed on two, on two 166 00:09:18,000 - > 00:09:18,240 things. 167 00:09:18,240 - > 00:09:20,240 One, it didn't return the brand that I wanted to buy. 168 00:09:20,240 - > 00:09:21,360 And two, I couldn't buy it. 169 00:09:21,360 - > 00:09:25,200 I couldn't buy a toaster from the agent. 170 00:09:25,919 - > 00:09:26,159 Dan Wagner: Yeah. 171 00:09:26,480 - > 00:09:30,480 Karen Webster: And so now, you know, there's the number one 172 00:09:30,480 - > 00:09:32,639 thing that people are doing with these models is search and 173 00:09:32,639 - > 00:09:33,120 discovery. 174 00:09:33,120 - > 00:09:35,759 Like your example, I'm I need to buy a birthday present, an 175 00:09:35,759 - > 00:09:37,519 anniversary present, a baby present. 176 00:09:37,519 - > 00:09:40,720 Tell me what you know the hot items are. 177 00:09:40,720 - > 00:09:45,519 But it's a it's a smart search function today. 178 00:09:45,519 - > 00:09:50,639 It's not a commerce transaction because you can't complete it. 179 00:09:50,639 - > 00:09:56,720 So how far away are we from solving my toaster problem and 180 00:09:56,720 - > 00:10:01,840 your query to buy your wife's birthday present from actually 181 00:10:01,840 - > 00:10:05,120 happening in your view, based on what you know now, and based on 182 00:10:05,120 - > 00:10:08,480 where you think we are from an infrastructure protocol, 183 00:10:08,480 - > 00:10:10,799 merchant readiness, et cetera, perspective? 184 00:10:11,440 - > 00:10:13,840 Dan Wagner: I think we're not we're not particularly close. 185 00:10:13,840 - > 00:10:20,399 I think that there is a fundamental disconnect between 186 00:10:20,399 - > 00:10:27,519 the hallucinations that these models are inherently uh pushing 187 00:10:27,519 - > 00:10:35,360 out and the concern from retailers to open the doors to 188 00:10:35,360 - > 00:10:39,440 their warehouses to these agents to run amok and represent their 189 00:10:39,440 - > 00:10:42,720 products to their customers, to these end customers without any 190 00:10:42,720 - > 00:10:43,919 control or constraint. 191 00:10:43,919 - > 00:10:46,960 What we're doing, and I think we're the only ones, I honestly 192 00:10:46,960 - > 00:10:49,279 think we're the only ones in the market doing this, right? 193 00:10:49,279 - > 00:10:52,799 Is that we are we have built agent infrastructure for the 194 00:10:52,799 - > 00:10:57,600 merchant to talk to agents, to control the narrative with the 195 00:10:57,600 - > 00:10:59,759 agents that are coming into their site. 196 00:10:59,759 - > 00:11:03,600 Uh, so that when the agent comes in, instead of the agent 197 00:11:03,600 - > 00:11:08,240 coming in from Chat GPT, taking everything off the shelves and 198 00:11:08,240 - > 00:11:12,799 misrepresenting it to me, the customer, the agent comes into 199 00:11:12,799 - > 00:11:15,919 the retail site and says, I'm looking for a pair of trainers 200 00:11:15,919 - > 00:11:17,360 size 10 in white. 201 00:11:17,360 - > 00:11:21,279 And we and the and the agent on our side says, Whoa, whoa, who 202 00:11:21,279 - > 00:11:22,159 are you talking to? 203 00:11:22,159 - > 00:11:25,279 Why do you want the what trainer do you want? 204 00:11:25,279 - > 00:11:28,399 What's the what is the query that was asked of you to come to 205 00:11:28,399 - > 00:11:31,759 the conclusion that it's a trainer size 10? 206 00:11:31,759 - > 00:11:38,159 You know, because the problem is that these other engines make 207 00:11:38,159 - > 00:11:39,600 mistakes, terrible mistakes. 208 00:11:39,600 - > 00:11:42,399 We've seen it recently with Walmart kicking out OpenAI and 209 00:11:42,399 - > 00:11:43,919 many, many other examples you would all know. 210 00:11:43,919 - > 00:11:46,639 And the reason for that is that the old the architecture of 211 00:11:46,639 - > 00:11:49,360 these technologies are not fit for purpose for this particular 212 00:11:49,360 - > 00:11:49,759 role. 213 00:11:49,759 - > 00:11:52,559 And we spent 10 years perfecting it so that it is. 214 00:11:52,559 - > 00:11:54,559 And so we want to be the gatekeeper. 215 00:11:54,559 - > 00:11:58,240 The best person to sell trainers to a consumer is the 216 00:11:58,240 - > 00:12:01,200 brand owner, Nike, or Footlocker, who've got great 217 00:12:01,200 - > 00:12:04,480 knowledge about the products, but not ChatGPT, who's a 218 00:12:04,480 - > 00:12:05,279 generalist. 219 00:12:05,279 - > 00:12:09,200 And especially when you've got this fundamental problem with 220 00:12:09,200 - > 00:12:11,679 the technology making mistakes, hallucinating. 221 00:12:13,039 - > 00:12:14,320 Karen Webster: I I agree with that. 222 00:12:14,320 - > 00:12:18,960 And and you know, we we've seen somewhat of this movie in real 223 00:12:18,960 - > 00:12:20,879 life today with Google Shopping, right? 224 00:12:20,879 - > 00:12:24,320 So you go into a search bar, you do you know, Google, I want 225 00:12:24,320 - > 00:12:30,720 to buy you know, pair of black kitten heel suede, size 35, give 226 00:12:30,720 - > 00:12:35,120 me the selection, and then you click through to a site, and you 227 00:12:35,120 - > 00:12:37,840 know, if you're lucky, you actually see that there's 228 00:12:37,840 - > 00:12:39,679 inventory in your size. 229 00:12:39,679 - > 00:12:43,200 Often you don't, because it's not real-time inventory 230 00:12:43,200 - > 00:12:43,679 management. 231 00:12:43,679 - > 00:12:46,559 You just go to the product page and then you go from there. 232 00:12:46,559 - > 00:12:54,639 But but what does the agentic future, in your view, as you see 233 00:12:54,639 - > 00:12:59,120 it and as you're solving for it, do that creates the brand 234 00:12:59,120 - > 00:13:03,840 affinity, sort of the merchant, you know, the merchant um 235 00:13:03,840 - > 00:13:07,200 relationship with the consumer, but also gives the consumer the 236 00:13:07,200 - > 00:13:09,440 optionality that they obviously want when they're sitting down 237 00:13:09,440 - > 00:13:10,399 at the prompt. 238 00:13:11,039 - > 00:13:13,279 Dan Wagner: So that's a very good question. 239 00:13:13,279 - > 00:13:18,080 Right now, Perplexity, OpenAI, Gemini, and others are pushing 240 00:13:18,080 - > 00:13:22,399 their standards to retail and say, open your doors and accept 241 00:13:22,399 - > 00:13:26,559 this uh uh standard so that we can come in and really, yeah, we 242 00:13:26,559 - > 00:13:29,440 can pull all your products off the shelves with live inventory 243 00:13:29,440 - > 00:13:30,240 data and everything else. 244 00:13:30,240 - > 00:13:34,639 And a lot of readers are going, no, not doing that, because you 245 00:13:34,639 - > 00:13:36,480 don't know my products, and you're I don't you're not gonna 246 00:13:36,480 - > 00:13:37,919 disaggregate me from my customers. 247 00:13:37,919 - > 00:13:39,679 But that's actually the wrong answer. 248 00:13:39,679 - > 00:13:42,720 Because the right answer is the consumer doesn't want to deal, 249 00:13:42,720 - > 00:13:45,519 like you said, the consumer wants to go to Chat GPT and ask 250 00:13:45,519 - > 00:13:45,919 the question. 251 00:13:45,919 - > 00:13:48,559 And the consumer really wants to end up completing the order 252 00:13:48,559 - > 00:13:51,200 through chat, they don't want to end up going to a site, they 253 00:13:51,200 - > 00:13:53,120 want to be able to complete that order there, right? 254 00:13:53,120 - > 00:13:56,559 But in order for that to happen, where it meets the 255 00:13:56,559 - > 00:14:00,240 objectives that the merchant has of knowing its customers, 256 00:14:00,240 - > 00:14:02,879 serving its customers, putting the right products in front of 257 00:14:02,879 - > 00:14:05,600 its customers, which it knows better than anybody else, is to 258 00:14:05,600 - > 00:14:08,960 have an energetic interface on their side that controls the 259 00:14:08,960 - > 00:14:09,519 narrative. 260 00:14:09,519 - > 00:14:11,039 That's what we do, right? 261 00:14:11,039 - > 00:14:13,600 And that's but we're the only ones right now, and it's too 262 00:14:13,600 - > 00:14:14,399 early stage. 263 00:14:14,399 - > 00:14:18,480 It needs to be common practice. 264 00:14:18,480 - > 00:14:23,360 And you know, obviously, we'd like to be the only supplier, 265 00:14:23,360 - > 00:14:24,879 but it's not going to be that way, right? 266 00:14:24,879 - > 00:14:29,679 That each merchant has the infrastructure to support the 267 00:14:29,679 - > 00:14:33,200 agents that are coming in, control the narrative and allow 268 00:14:33,200 - > 00:14:36,720 that transaction to take place, knowing who the end customer is, 269 00:14:36,720 - > 00:14:39,440 that that end customer is a regular customer, a premium 270 00:14:39,440 - > 00:14:42,399 customer, has loyalty, doesn't have loyalty, you know, likes 271 00:14:42,399 - > 00:14:45,039 this kind of room, not that kind of room, whatever it is, all 272 00:14:45,039 - > 00:14:48,240 the things that the merchant knows about their customers or 273 00:14:48,240 - > 00:14:50,879 knows about that type of customer that may be appropriate 274 00:14:50,879 - > 00:14:54,720 for this other type of customer that ChatGBT and Gemini do not 275 00:14:54,720 - > 00:14:54,960 know. 276 00:14:54,960 - > 00:14:58,080 They cannot, they might think they can stand in front of 277 00:14:58,080 - > 00:15:01,519 everything, but they can't represent the merchant properly. 278 00:15:01,519 - > 00:15:02,799 So the merchant needs to be. 279 00:15:02,799 - > 00:15:05,440 I think that's partly why you're seeing such amazing 280 00:15:05,440 - > 00:15:09,200 momentum in our business, because we talk sense to the 281 00:15:09,200 - > 00:15:09,679 merchants. 282 00:15:09,679 - > 00:15:11,600 We say, look, we're going to solve this for you. 283 00:15:11,600 - > 00:15:14,399 You need to be visible to those guys, but you need to control 284 00:15:14,399 - > 00:15:14,960 the narrative. 285 00:15:14,960 - > 00:15:18,480 And that's sort of that is how the future of agenda commerce 286 00:15:18,480 - > 00:15:19,440 will play out. 287 00:15:19,440 - > 00:15:23,200 A symbiotic relationship between the merchant and the 288 00:15:23,200 - > 00:15:26,879 front end of Chat GPT or Gemini or whoever it is. 289 00:15:27,200 - > 00:15:27,440 Karen Webster: Right. 290 00:15:27,440 - > 00:15:30,559 I mean, the merchant wants to remain the merchant of record. 291 00:15:30,559 - > 00:15:35,440 They don't want to be anonymized as part of these 292 00:15:35,440 - > 00:15:37,360 platforms and the aggregated platforms. 293 00:15:37,759 - > 00:15:40,480 Dan Wagner: I I don't think that that swap is being promoted by 294 00:15:40,480 - > 00:15:41,200 the other players. 295 00:15:41,200 - > 00:15:43,120 I don't think they're trying to be the merchant of record. 296 00:15:43,120 - > 00:15:45,360 And if they are, that's never going to work, right? 297 00:15:45,360 - > 00:15:49,440 But I think that they want to have access to insert the order 298 00:15:49,440 - > 00:15:52,720 into the retailer's site on behalf of their customers, you 299 00:15:52,720 - > 00:15:54,480 know, just because they did a deal with Stripe, I think 300 00:15:54,480 - > 00:15:57,519 ChatGPT, and they did, you know, we'll pay, we'll pay you, we'll 301 00:15:57,519 - > 00:16:01,440 sort it out, we'll push the order into your systems, you 302 00:16:01,440 - > 00:16:03,120 know, you then deliver it to the customer. 303 00:16:03,120 - > 00:16:05,679 I think the merchants are going, whoa, hold on a sec. 304 00:16:05,679 - > 00:16:08,559 You know, we know our customers, we don't want to just 305 00:16:08,559 - > 00:16:11,679 have these orders come to us that ultimately might be having 306 00:16:11,679 - > 00:16:14,799 to be refunded or replaced because it was sold incorrectly. 307 00:16:14,799 - > 00:16:16,960 We don't want that overhead. 308 00:16:16,960 - > 00:16:20,399 And we don't want to lose connection with our end 309 00:16:20,399 - > 00:16:20,960 customer. 310 00:16:20,960 - > 00:16:22,960 We want to maintain that experience. 311 00:16:23,279 - > 00:16:25,200 Karen Webster: I think it depends on the business model. 312 00:16:25,200 - > 00:16:32,720 You know, are these models a marketplace or are they simply 313 00:16:32,720 - > 00:16:34,000 another commerce channel? 314 00:16:34,000 - > 00:16:38,000 And I think that's we don't know the answer really at this 315 00:16:38,000 - > 00:16:41,200 point, because if you think about the potential for what you 316 00:16:41,200 - > 00:16:46,320 described, Agentic is a completely different way of 317 00:16:46,320 - > 00:16:50,960 enabling commerce, um, whether it's completely fulfilled in the 318 00:16:50,960 - > 00:16:54,720 in the virtual digital world or whether it's started in the 319 00:16:54,720 - > 00:16:58,000 virtual world, digital world, and fulfilled in the physical 320 00:16:58,000 - > 00:16:58,399 world. 321 00:16:58,399 - > 00:17:01,840 But but it but the way we're talking about it today, it's 322 00:17:01,840 - > 00:17:04,559 almost as if it's another digital channel. 323 00:17:04,559 - > 00:17:07,920 And I think that's short, I think that's shortchanging its 324 00:17:07,920 - > 00:17:08,480 potential. 325 00:17:09,119 - > 00:17:11,119 Dan Wagner: You're absolutely right, Karen. 326 00:17:11,119 - > 00:17:13,279 You are a thousand percent right. 327 00:17:13,279 - > 00:17:15,599 And it is absolutely equivalent to the file. 328 00:17:15,599 - > 00:17:16,720 I keep saying it. 329 00:17:16,720 - > 00:17:19,039 E-commerce as we know it is dead. 330 00:17:19,039 - > 00:17:20,240 It's over. 331 00:17:20,240 - > 00:17:22,960 That interface is finished. 332 00:17:22,960 - > 00:17:27,279 That experience that we have of searching a search box and 333 00:17:27,279 - > 00:17:30,240 navigating with a left-hand chat set of categories and getting 334 00:17:30,240 - > 00:17:32,000 40 items and 40s and going through a check. 335 00:17:32,000 - > 00:17:34,480 That's finished, that's never going to be the case again. 336 00:17:34,480 - > 00:17:38,559 That's like mail order, telephone mail order, mail-in, 337 00:17:38,559 - > 00:17:39,359 mail order, right? 338 00:17:39,359 - > 00:17:42,240 Where you get a catalog and you look through it and you pull 339 00:17:42,240 - > 00:17:44,960 out a coupon and you send it back in the mail, which you 340 00:17:44,960 - > 00:17:46,559 probably won't remember, you're too young. 341 00:17:46,559 - > 00:17:50,400 And it was around and very prevalent in the 50s and 60s. 342 00:17:50,400 - > 00:17:54,240 And now we have a situation where e-commerce is over. 343 00:17:54,240 - > 00:17:56,480 Nobody's going to shop that way anymore. 344 00:17:56,480 - > 00:17:58,640 The new way needs a new system. 345 00:17:58,640 - > 00:18:02,720 The new system is agentic, the new agentic system sits on the 346 00:18:02,720 - > 00:18:05,920 blockchain, the new payment systems is stable coins. 347 00:18:05,920 - > 00:18:11,039 The infrastructure has to accommodate volume of activity 348 00:18:11,039 - > 00:18:14,640 that is hundreds and hundreds of times greater than what we're 349 00:18:14,640 - > 00:18:15,359 seeing today. 350 00:18:15,359 - > 00:18:19,519 Because agents don't go one by one, they go everywhere 351 00:18:19,519 - > 00:18:20,079 instantly. 352 00:18:20,079 - > 00:18:24,400 And so volume is going to go through the roof, interaction is 353 00:18:24,400 - > 00:18:26,880 going to probably remain the same, but the activity behind 354 00:18:26,880 - > 00:18:31,359 the scenes are going to be massively more uh uh uh uh um 355 00:18:31,359 - > 00:18:32,000 intense. 356 00:18:32,000 - > 00:18:35,359 And the infrastructure that we have today doesn't support that. 357 00:18:37,279 - > 00:18:40,240 Karen Webster: So, Dan, what's on the critical path as you 358 00:18:40,240 - > 00:18:45,440 envision agentic as this next evolution of commerce? 359 00:18:45,440 - > 00:18:47,519 What needs to go right? 360 00:18:47,519 - > 00:18:54,480 And what could stand in the way of that going right, in your 361 00:18:54,480 - > 00:18:55,039 view? 362 00:18:55,599 - > 00:18:57,920 Dan Wagner: Well, I I don't think I think that there needs 363 00:18:57,920 - > 00:19:01,200 to be a new payment infrastructure in place that 364 00:19:01,200 - > 00:19:02,319 replaces the existing one. 365 00:19:02,319 - > 00:19:04,799 And of course, we've introduced Resolve Pay, and we believe 366 00:19:04,799 - > 00:19:05,359 that is it. 367 00:19:05,359 - > 00:19:08,240 Okay, so I'm doubling down big time on that. 368 00:19:08,240 - > 00:19:10,799 I've got an infrastructure sitting behind it in the 369 00:19:10,799 - > 00:19:13,279 blockchain, stablecoin payments, and so on. 370 00:19:13,279 - > 00:19:16,640 And and although it's not uh in the public domain yet, a very 371 00:19:16,640 - > 00:19:20,960 innovative and very cool way to onboard millions and millions of 372 00:19:20,960 - > 00:19:24,480 consumers in a very elegant way, which is not there today by 373 00:19:24,480 - > 00:19:25,200 anybody else, right? 374 00:19:25,519 - > 00:19:28,160 Karen Webster: So so so why so why do you think there needs to 375 00:19:28,160 - > 00:19:32,400 be new payment credentials when consumers have payment 376 00:19:32,400 - > 00:19:37,519 credentials that are tokenized, and these tokens can carry 377 00:19:37,519 - > 00:19:40,079 intelligence around identity and preferences? 378 00:19:40,559 - > 00:19:41,759 Dan Wagner: You can't no, that's possible. 379 00:19:41,759 - > 00:19:42,640 You can do that. 380 00:19:42,640 - > 00:19:48,160 It does, but it's it's a it it it's it's old tech. 381 00:19:48,160 - > 00:19:51,200 It's it's sitting on old rails. 382 00:19:51,200 - > 00:19:57,200 And uh the the end payment is the volume of end payments isn't 383 00:19:57,200 - > 00:20:00,000 going to go up massively unless you're using micropayments, 384 00:20:00,000 - > 00:20:04,480 which of course uh um a gen tick payment infrastructure can 385 00:20:04,480 - > 00:20:07,759 support uh and stable coins can support, but traditional 386 00:20:07,759 - > 00:20:10,400 currencies, uh fiat currencies can't, because you can't pay 387 00:20:10,400 - > 00:20:11,920 with a fraction of a penny somewhere. 388 00:20:11,920 - > 00:20:15,359 So the old roles aren't designed for the new era. 389 00:20:15,359 - > 00:20:16,720 Will they be around for a while? 390 00:20:16,720 - > 00:20:17,839 Yes, they'll be around for 20 years. 391 00:20:17,839 - > 00:20:21,039 I don't think they're gonna go as quickly as e-commerce will 392 00:20:21,039 - > 00:20:21,359 go. 393 00:20:21,359 - > 00:20:24,880 Um, but I think that the uh I think that one of those, one of 394 00:20:24,880 - > 00:20:27,759 the tenants is payment is a payment infrastructure designed 395 00:20:27,759 - > 00:20:31,440 for the next phase, and the other is a commerce 396 00:20:31,440 - > 00:20:33,200 infrastructure that's designed for the next phase. 397 00:20:33,200 - > 00:20:36,880 And our commerce infrastructure is not designed today for the 398 00:20:36,880 - > 00:20:37,759 next phase. 399 00:20:37,759 - > 00:20:39,839 So we we are trying to change that. 400 00:20:39,839 - > 00:20:44,960 And remember, I was one of the pioneers in um in online 401 00:20:44,960 - > 00:20:48,640 enterprise e-commerce with with Bender in 1998, which was a 402 00:20:48,640 - > 00:20:51,359 cloud-based commerce stack before we were thinking of 403 00:20:51,359 - > 00:20:52,240 cloud-based anything. 404 00:20:52,240 - > 00:20:52,960 Yeah, yeah. 405 00:20:52,960 - > 00:20:55,920 Uh that was way that was way before people were thinking 406 00:20:55,920 - > 00:20:56,640 about cloud. 407 00:20:56,640 - > 00:21:00,480 It was, in fact, uh Salesforce started in 1999, we started in 408 00:21:00,480 - > 00:21:01,039 1998. 409 00:21:01,039 - > 00:21:04,480 So we're all kind of right at the lead of that SaaS 410 00:21:04,480 - > 00:21:05,039 revolution. 411 00:21:05,039 - > 00:21:08,160 And here we are now at the lead of the agentic revolution, and 412 00:21:08,160 - > 00:21:13,119 it is, I mean, infinitely bigger an opportunity, infinitely 413 00:21:13,119 - > 00:21:16,079 bigger um uh a transition. 414 00:21:16,079 - > 00:21:20,559 And it's it's super exciting because the retailers that get 415 00:21:20,559 - > 00:21:23,839 it right, just as they did in the dot-com era, the retailers 416 00:21:23,839 - > 00:21:26,640 that get it right will run away with this. 417 00:21:26,640 - > 00:21:30,400 Because if they can this, if they can represent their 418 00:21:30,400 - > 00:21:32,960 products properly through the channels that people are going 419 00:21:32,960 - > 00:21:38,400 to go to naturally, Siri and Google, Gemini and Chat GBT and 420 00:21:38,400 - > 00:21:42,799 what have you, uh, and Alexa or whatever, uh, and if they can 421 00:21:42,799 - > 00:21:45,920 represent their products there properly, non hallucinatory and 422 00:21:45,920 - > 00:21:51,119 you know, not not conflate, and they can manage the agent volume 423 00:21:51,119 - > 00:21:54,160 that's going to come to their sites, interrogating their sites 424 00:21:54,160 - > 00:21:56,799 and answer them in an intelligent way, manage them in 425 00:21:56,799 - > 00:21:58,079 an intelligent way, will win. 426 00:21:58,079 - > 00:21:59,359 They'll win. 427 00:22:00,319 - > 00:22:02,640 Karen Webster: Who's leaning in from the merchant perspective? 428 00:22:02,640 - > 00:22:05,519 You don't have to give names, but are the enterprise 429 00:22:05,519 - > 00:22:07,440 middle-tier merchants? 430 00:22:07,440 - > 00:22:13,440 Who really says, yes, I get this, I understand it. 431 00:22:13,440 - > 00:22:17,119 I want to be part of the first wave. 432 00:22:17,519 - > 00:22:19,759 Dan Wagner: Well, I think everybody who's coming to us, 433 00:22:19,759 - > 00:22:22,319 and we've seen this, yeah, I'm sure you know, under 434 00:22:22,319 - > 00:22:23,680 unbelievable momentum. 435 00:22:23,680 - > 00:22:26,640 And I built businesses, as you know, through my career. 436 00:22:26,640 - > 00:22:28,000 I've never seen anything like this. 437 00:22:28,000 - > 00:22:30,000 This is, you know, extraordinary. 438 00:22:30,000 - > 00:22:32,000 I mean, it's gratifying, but extraordinary. 439 00:22:32,000 - > 00:22:35,839 I think that a lot of these retailers want to be with the 440 00:22:35,839 - > 00:22:40,799 company that's holding the the beacon, showing the way, right? 441 00:22:40,799 - > 00:22:42,000 We're showing the way. 442 00:22:42,000 - > 00:22:43,839 We're saying this is how it's going to be, but I don't think 443 00:22:43,839 - > 00:22:44,960 anyone's talking like us. 444 00:22:44,960 - > 00:22:48,640 There isn't anyone out there who is setting out a path. 445 00:22:48,640 - > 00:22:51,200 There's a lot of kind of, oh, the stablecoin, you know, we're 446 00:22:51,200 - > 00:22:52,400 gonna there's oh agentic. 447 00:22:52,400 - > 00:22:54,480 I don't think anyone's actually, they're just throwing 448 00:22:54,480 - > 00:22:55,200 these names around. 449 00:22:55,200 - > 00:22:59,039 I don't think there's a real clarity around what I've been 450 00:22:59,039 - > 00:22:59,519 saying to you. 451 00:22:59,519 - > 00:23:02,319 I think I'm telling you exactly how it's gonna be, and there's 452 00:23:02,319 - > 00:23:05,519 nobody out there who's saying it anything else, right? 453 00:23:05,519 - > 00:23:08,319 They're just talking agentic, who's really saying we're doing 454 00:23:08,319 - > 00:23:11,839 this or that to meet the market demand. 455 00:23:11,839 - > 00:23:14,240 This is how it's gonna go, because I don't think anyone's 456 00:23:14,240 - > 00:23:18,160 being bold enough to stand by their convictions in this. 457 00:23:18,160 - > 00:23:21,359 I think there's a lot of noise out there, and that's fine 458 00:23:21,359 - > 00:23:24,319 because it typically happens in these situations that you get 459 00:23:24,319 - > 00:23:25,599 this kind of dynamic. 460 00:23:25,599 - > 00:23:31,440 But um we do believe that we know exactly what's happening, 461 00:23:31,440 - > 00:23:34,640 and we do believe what needs to be done, and we're doubling down 462 00:23:34,640 - > 00:23:38,319 on making sure that we take advantage of that knowledge. 463 00:23:38,319 - > 00:23:42,480 Uh, and I think that the market, even if we're wrong, I 464 00:23:42,480 - > 00:23:45,599 don't think we are, of course, but even if we're wrong, the 465 00:23:45,599 - > 00:23:50,720 merchant base that we're signing up want to believe us, want to 466 00:23:50,720 - > 00:23:53,599 be with us because they so I think the answer to your 467 00:23:53,599 - > 00:23:54,960 question is slightly caveated. 468 00:23:54,960 - > 00:23:58,079 It's I don't think that the retailers who are who are with 469 00:23:58,079 - > 00:24:00,559 us today are all into this. 470 00:24:00,559 - > 00:24:02,559 I think they're just all into our vision. 471 00:24:02,559 - > 00:24:06,160 I think they're all into the fact that they need somebody to 472 00:24:06,160 - > 00:24:08,160 give them a guide to this because they don't know which 473 00:24:08,160 - > 00:24:08,799 way to turn. 474 00:24:08,799 - > 00:24:13,039 And we're the only ones who have a very clear, credible path 475 00:24:13,039 - > 00:24:14,559 to navigate through this. 476 00:24:14,880 - > 00:24:17,039 Karen Webster: Well, listen, Dan, I hope we have the chance 477 00:24:17,039 - > 00:24:18,079 to uh to chat again. 478 00:24:18,079 - > 00:24:20,559 Congratulations on all the great work that you've done at 479 00:24:20,559 - > 00:24:23,119 Resolve and you know look forward to staying in touch. 480 00:24:23,200 - > 00:24:26,640 It is a very dynamic, active, and very interesting space. 481 00:24:27,119 - > 00:24:29,039 Dan Wagner: Karen, thank you very much for inviting me to be 482 00:24:29,039 - > 00:24:31,759 on this call and very much to be part of this conversation. 483 00:24:31,759 - > 00:24:33,440 And I look forward to speaking with you again. 484 00:24:33,759 - > 00:24:34,559 Karen Webster: Thank you, me too. 485 00:24:34,559 - > 00:24:35,279 Bye-bye now. 486 00:24:35,599 - > 00:24:36,400 Dan Wagner: Okay, bye. 487 00:24:40,480 - > 00:24:43,759 Narrator: That's it for this episode of the PYMNTS Podcast: 488 00:24:43,759 - > 00:24:45,680 The Thinking Behind the Doing. 489 00:24:45,680 - > 00:24:49,359 Conversations with the leaders transforming payments, commerce, 490 00:24:49,359 - > 00:24:50,799 and the digital economy. 491 00:24:50,799 - > 00:24:54,240 Be sure to follow us on Spotify and Apple Podcasts. 492 00:24:54,240 - > 00:24:58,799 You can also catch every episode at PYMNTS.com/ podcasts. 493 00:24:59,839 - > 00:25:01,599 Thanks for listening.
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