Fintech
David’s Bridal Builds a Platform for Life Before and After ‘I Do’ | PYMNTS.com

Published
2 weeks agoon
By
Hrishi
David’s Bridal isn’t just selling gowns anymore. It’s reinventing itself as a platform.
The company that built its reputation helping brides find the perfect dress now wants to help them navigate everything that comes after, from showers and bachelorette weekends to anniversaries and family milestones.
The wedding becomes the entry point into a long-term relationship, one that positions David’s as a partner to the newly married woman in her role as household chief financial officer.
From Aisle to Algorithm
David’s “aisle to algorithm” reinvention is already visible. Just weeks after announcing a bridal and special occasion storefront on Amazon, the company revealed a foundational replatforming on Shopify, designed to unify its in-store and online systems into a single operating model. That step enables David’s to lean into an asset-light future, one where digital screens create an “endless aisle” inside its over 190 stores, real-time inventory keeps shoppers from hitting dead ends, and its own site supports faster, more flexible checkout options.
But technology is just the scaffolding. The real story is how David’s plans to transform its role in the $70 billion global bridal market.
“We dominate this market, but we can help her even more,” President and Chief Business Officer Elina Vilk told Karen Webster. “We have the data, we have the partners, and we can start to think about this as a platform.”
The goal is not just to future-proof the business but to build something “so much greater” than the gown, she said.
Beyond the Dress
What used to orbit around a single gown now spans every touchpoint along a bride’s 18-month journey.
The average bride cycles through eight to 30 outfits before the big day. Each event, from the engagement party to the shower to the rehearsal dinner to the honeymoon, creates demand for new looks, services and inspiration. David’s launched its Pro Planner AI to help manage those decisions, breaking down 300 tasks into a timeline paced to the wedding date. It’s an answer to what Vilk called the “unparalleled anxiety magnified by social media,” where every moment is visible, and every photo lives forever.
That constant churn of decisions is where David’s sees its future.
The gown is just one of many purchases. The company’s marketplace, fueled by partner products, allows it to serve brides across budgets and aesthetics without relying solely on its own design pipeline. As Vilk put it, David’s will have “done our job right when we have so much more inventory from our partners than we do from ourselves.”
Media, Marketplace and Moments
The marketplace is one piece of a broader flywheel. Last year’s acquisition of Love Stories TV gave David’s a media platform for brides. Layering a retail media network on top lets David’s surface products at the right moments, tied to event timelines and customer signals captured through its Diamond loyalty CRM.
The result is a connected system. Media fuels discovery, the CRM personalizes offers, and the marketplace turns intent into purchase. Because bridal decisions are “high involvement,” the content-to-commerce loop keeps brides coming back, Vilk said.
The Store Reimagined
If the marketplace is the digital brain, Diamonds & Pearls is the experience layer. The new boutique format blends curated physical retail with interactive technology. Digital screens let brides and stylists mix and match from thousands of dresses across David’s and its partners, pulling up inspiration reels on demand.
The goal is to augment the in-store experience with technology that solves problems in real time, showing how a hand-beaded gown might work in a rustic barn wedding, or how a silhouette could be adapted for a beach ceremony.
The Florida pilot proved the concept, and more locations are on the way. The “sexiest tech” is not flashy, but functional, Vilk said. It’s about helping brides see what’s possible and making decisions easier in a process defined by complexity.
The Bride as Household CFO
Underneath the romance is a strategy to use the wedding as the launchpad to a longer relationship. Brides already think like CFOs of their households, managing budgets and trade-offs for one of the biggest spending events of their lives. David’s wants to keep that relationship alive after the wedding, extending into anniversaries, family celebrations and beyond.
The loyalty program is the connective tissue, Vilk said. Diamonds not only personalizes shopping in the moment; it lays the groundwork for future extensions into payments, wallets and financial tools.
The bigger ambition is for the bride to be more than just a one-time customer. She’s the foundation of a lifetime platform.
Everyone Deserves the Moment
At its core, David’s mission hasn’t changed. It’s still about making sure every customer, from the bride to the mother of the bride to the bridal party, feels good in the moment, no matter their budget.
What has changed is the scale of the vision.
With its “aisle to algorithm” strategy, Vilk said that David’s isn’t competing with bridal shops. It’s reinventing what it means to be in the bridal business. By weaving together media, marketplace, stores and loyalty into a single platform, David’s is making the wedding not the end of a transaction but the beginning of a relationship.
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Fintech
European Commission to Impose ‘Modest’ Penalties in Google AdTech Case | PYMNTS.com

Published
21 hours agoon
August 31, 2025By
Hrishi
When the European Commission announces the penalties in an antitrust case involving Google’s AdTech business in the coming weeks, it will reportedly order the company to pay a “modest” fine and will not require it to sell part of its AdTech business.
The fine is likely to be less than the 4.3 billion euros the Commission ordered Google to pay in another case in 2018, Reuters reported Friday (Aug. 29), citing unnamed sources.
Asked about the report by Reuters, the Commission decline to comment, while Google pointed to a 2023 blog post in which it criticized the regulator’s interpretation of the AdTech sector, according to the report.
The report attributed the imposition of what it described as modest penalties to the approach of the new EU antitrust chief, Teresa Ribera, who it said focuses on getting companies to end anti-competitive practices rather than punishing them with big fines.
In the AdTech case, the European Commission accused Google of abusing its dominance in the online AdTech industry since 2014. The regulator alleged that the company had wielded its market power on both sides of the supply chain by showing favoritism toward its own ad exchange, AdX, in matching auctions.
Google argued that serving both advertisers and publishers is a common industry practice, competitors operate similar AdTech businesses catering to both sides of the market, and integrated technology stacks facilitate high-quality connections between advertisers and publishers.
According to Friday’s Reuters report, advertising revenue accounted for 75.6% of Google’s total revenue in 2024.
Google also faces pressure in the United States, where it is in a legal battle with the Justice Department, and a federal judge determined that the company unlawfully maintained monopolies in critical areas of the online ad industry.
It was reported in May that the Justice Department called for Google to divest some key components of its digital advertising business, including its AdX marketplace and its DFP ad-serving platform.
The Justice Department argued at the time in a court filing that such divestitures were essential to dismantle Google’s dominance and restore competition in the markets for ad exchanges and publisher ad servers.
Fintech
AI Model Betting Is the New Fantasy Football | PYMNTS.com

Published
2 days agoon
August 30, 2025By
Hrishi
Sports gambling has DraftKings. Political junkies have PredictIt. And now the world’s nerdiest corner — the artificial intelligence (AI) scene — has its own set of bettors, where people wager actual money on whether Google’s Gemini will dunk on OpenAI’s GPT-5 this month.
Forget fantasy football, this is fantasy machine learning.
People are placing their bets on markets like Kalshi, where they can trade on the outcome of real-world events, everything from when Taylor Swift and Travis Kelce will wed to whether Google will break up and, of course, the AI model race. Kalshi saw 10 times the volume on AI trades compared with the start of the year, according to The Wall Street Journal.
“Kalshi’s markets are extremely efficient and serve as a source of truth on the likelihood of all events, including AI model progress,” Jack Such, a spokesperson for the company, told PYMNTS.
So who’s winning based on the bets?
“Gemini is the current market leader for ‘Best AI’ by the end of 2025,” Such said.
On Kalshi, Gemini shows a 58% probability of winning, compared with 19% for ChatGPT, as of midmorning on Thursday (Aug. 28). The third spot goes to Grok, at 17%. Claude, which Menlo Ventures said was the enterprise favorite, clocks in at 2% and tied with Meta’s Llama.
The total trading volume reached $8.1 million.
Kalshi is just one of several platforms that are pivoting to AI trading.
Other players include Polymarket, an offshore crypto-based prediction market, Manifold Markets, Metaculus and other sites.
Which AI model is winning globally? The AI community abroad agrees with the Americans. Polymarket, which is only available to non-Americans, predicts that Google will win by year’s end, at 66% odds. OpenAI comes in at 16% probability while xAI is third with 14%.
See also: Crypto Firms Grapple with Bank-Like Risks, Without the Regulation
Betting on Anything in the World
How Kalshi works: People bet yes or no on outcomes in the real world, such as whether the Fed will cut short-term interest rates by 25 basis points in September (76% probability it will) or who will win the Nobel Peace Prize (Yulia Navalnaya, widow of Russian opposition leader Alexei, is at 20% probability and Donald Trump at 10%).
Bettors buy contracts tied to these outcomes at prices between a penny and 99 cents, settling at $1. For example, if a bettor buys a contract for 40 cents and they guess the outcome correctly, they are paid $1. If they guessed wrong, they lose their 40 cents. Bettors can also sell the contract before there’s an outcome if they see the contract price go up or down.
In a tie, the default would be a negative outcome.
For AI models, results will be determined by the rankings on the LMSYS Chatbot Arena Leaderboard at the end of the year, according to Kalshi.
Currently, the leaderboard shows Gemini 2.5 pro slightly ahead of GPT-5 for first place, followed closely by Claude Opus.
One Kalshi user noticed a tie earlier this month and wrote, “it’s a tight race on LMArena. I don’t understand why the spread is so drastic. Huge earnings for people who bet on GPT with decent odds that it will flip.”
Kalshi began allowing bettors to trade on AI models in 2023. “We were confident in consumer demand for these products because of the rapid growth of AI and the economic and political consequences of model progress,” Such said.
Kalshi said the U.S. Commodity Futures Trading Commission regulates it as a financial exchange for trading futures, swaps and options on commodities.
“Understanding that Kalshi is regulated … helps reassure users that they are engaging with a platform that adheres to the highest standards of operation and accountability,” the company says on its site.
Here’s to hoping the bet will be good.
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FTX Drops Plans to Resurrect Fallen Crypto Exchange
Fintech
Chinese Money Laundering Networks Flagged as ‘Severe Threat’ by FinCEN | PYMNTS.com

Published
3 days agoon
August 29, 2025By
Hrishi
The Treasury Department’s Financial Crimes Enforcement Network (FinCEN) has issued a warning that Chinese money laundering networks are now among the most significant threats to the U.S. financial system, fueling operations of Mexico’s most powerful drug cartels.
In a new advisory released Thursday (August 28), FinCEN said groups including the Sinaloa Cartel and the Jalisco New Generation Cartel are increasingly using Chinese money laundering networks to clean billions in drug proceeds. The networks have become effective partners because they can move cash quickly, absorb losses and leverage demand from Chinese nationals seeking to bypass Beijing’s strict currency controls. By pairing cartel dollars with Chinese demand for U.S. currency, these networks have created what FinCEN called a “mutualistic relationship” that strengthens both sides.
The 15-page report outlines how these networks operate. They rely on informal value transfer systems, “mirror” transactions and trade-based money laundering schemes to shift funds across borders without physically moving cash. Some recruit Chinese students in the U.S. to act as money mules, depositing cartel cash into U.S. bank accounts and disguising the flows as tuition or living expenses. Others purchase electronics, luxury goods, and real estate with illicit funds, later reselling or exporting those assets to create the appearance of legitimate commerce.
“Chinese money laundering networks are professional money launderers that play a vital role in laundering the cartels’ drug proceeds in the United States,” the advisory said. “This is due to the speed and effectiveness of their operations, as well as their willingness to absorb financial losses and assume risks for the cartels and other clients.”
The advisory also lists “red flag” indicators for financial institutions, ranging from students depositing unusually large sums of cash to small businesses with outsized luxury goods transactions. FinCEN urged banks to reference the identifier “CMLN-2025-A003” when filing suspicious activity reports, and to pay special attention to transactions tied to unlicensed money service businesses, informal transfer systems and trade-based schemes.
FinCEN’s move follows a January executive order that designated several cartels as foreign terrorist organizations, underscoring the administration’s concern that cartel financing now poses not only a criminal but also a national security threat. The advisory ends with a reminder that financial institutions are on the front line of detecting suspicious flows and that voluntary information sharing under existing safe harbors can help expose networks that otherwise thrive in the shadows.
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