Ridge CEO Sean Frank: AI has 'totally solved' inventory planning, static ad factories run 24/7, and consumer spending is ripping despite the vibes

Ridge CEO Sean Frank: AI has 'totally solved' inventory planning, static ad factories run 24/7, and consumer spending is ripping despite the vibes

Sean Frank runs Ridge, a direct-to-consumer accessories brand best known for its minimalist wallets. The wallet business alone clears $100M+ annually, but Frank says growth is now coming from everywhere else — a travel line, phone cases, and a wedding rings business that he claims handles roughly 10% of all men's wedding rings sold in America. The tech accessories line, just twelve months old, is already tracking toward $100M a year. His stated target is $1B in annual revenue within three to four years.

AI in operations

The most concrete AI claim Frank makes is on inventory planning. Demand forecasting — historically a team-heavy, bankruptcy-risk problem — is, in his words, "totally solved." His setup is straightforward: clean data warehouse, Shopify and Amazon sales data piped in, pointed at a model like Codex. The system handles forecasting across channels, with human adjustments only for one-off variables like promotional calendars that differ year over year. Frank says Ridge is not a heavy software buyer — IT spend runs well under 1% of revenue — but this stack of commodity infrastructure plus LLM has replaced what used to require large dedicated teams.

“Inventory planning and buying is a solved problem... AI has totally solved that, working directly with Codexes of the world and just putting in all your business information... Our tech business is like twelve months old and it's like already like a $100,000,000 a year... I'm trying to get to $1,000,000,000 a year in annual revenue. I'm like three or four years away.”

Static ad factories

On the creative side, AI-generated static ads are already running at industrial scale. Frank describes a fully automated pipeline: use Higgsfield for image generation, pipe assets through an MCP into Codex, generate thousands of static ad variants, push them into a testing ad account, and promote winners into a separate scaling account. The system runs 24/7 with no human in the loop. Video is still human-edited, with editors using AI tools like Higgsfield to generate more variations of existing footage rather than replacing the cut itself. Landing pages are similarly automated — Ridge is launching 50 AI-generated landing pages next week.

On the question of whether AI-generated creative underperforms when it's identifiable as AI, Frank says the static ad category sidesteps the problem entirely. Static AI imagery is already indistinguishable from CGI or photography, and that's where the factory model works cleanest.

Meta and the ad platform landscape

Frank is bullish on Meta. Ridge had its best Q2 ever, even through a period when many advertisers were complaining about Meta's algorithm changes. His read is that Meta's compute and AI investment is translating into better impression quality — more relevant audiences, better timing — and that CPMs rising alongside click-through and conversion rates is the right trade. He frames Meta as a captive platform: "Where else are we gonna spend money?" TikTok Shop, he notes, may do $20B in US GMV this year, which sounds large until you compare it to Amazon's roughly $20B every four days.

He does flag TikTok's structural problem: brands like Comfort Hoodies, which he says is now doing $1B a year largely through TikTok affiliate video, are generating enormous spillover to Amazon and their own sites without TikTok capturing that value.

Frank looked at Netflix advertising and passed. The CPMs are around $45, against a $25 CPM Ridge was quoted for a 30-second spot during a USA World Cup game on Fox. Netflix's ad tier also reaches the lowest-income consumer segment, making the economics worse.

Consumer spending

Frank is direct about the macro disconnect: consumer confidence surveys are gloomy, but actual spending data tells a different story. The Ukraine war in 2022 produced a noticeable dip in e-commerce activity. The current war in Iran has not. Frank says Ridge just had its best Q2 of all time and that his Shopify notification feed would be chiming all day if he left it on. His framing for the gap between sentiment and behavior is simply "vibe session" — what people say in a Pew Research poll and what they actually do at checkout are two different things.

Luxury rotation and US manufacturing

On luxury, Frank argues the LVMH and Kering underperformance is generational, not cyclical. He points to Coach (Tapestry) as the counterexample — a stock he says beat Nvidia in 2024 on total return — alongside Ralph Lauren and Richemont's Cartier and Van Cleef as brands performing well. His read on LVMH specifically is that their revenue skews heavily toward consumers earning under $100K a year, which creates structural vulnerability when middle-class spending softens. He also flags a potential conflict of interest in LVMH's investment structure: the Arnault family owns ~90% of L Catterton but only ~45% of LVMH, which arguably incentivizes keeping hot brands like Mad Happy and Crumb & Get It inside L Catterton rather than folding them into the public parent.

On US manufacturing, Frank says Ridge spent $2–4M building out domestic wallet production at FTS/IMP Solutions, the watchmaker they acquired in Arizona partly to qualify for a general exclusion order against IP infringers. Trump's steel tariffs complicated the plan by creating a supply crunch for domestic steel, so domestic production is on pause while the supply chain works itself out. His longer-term view is that manufacturing is already highly automated globally — "they don't have that many people in factories" even in China — and hyper-local manufacturing is a ten-year build.