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Kelly Cook on David’s Bridal’s Aisle to Algorithm to Amazon Strategy | PYMNTS.com

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Turns out Kelly Cook wasn’t kidding around. When David’s (formerly David’s Bridal) CEO last spoke to Karen Webster in mid-June she promised a big upcoming announcement that would support her vision of rebranding the dominant bridal retailer as a special occasion apparel and media company. But in order to take that next step she needed a big win. A big retail partner to amplify her “aisle to algorithm” vision.

How’s Amazon for a big win? On July 9, David’s opened a new Amazon storefront featuring a new brand that offers gowns and dresses for both special and everyday occasions. By opening The Edit by DB Studio, Cook aims to continue expanding its offerings and ways to shop, positioning it to compete outside of bridal fashion and introduce its fashion to new shoppers through the biggest retailer on the planet. And in fitting with Cook’s expansive vision, The Edit by DB Studio offers styles that span bridal, bridesmaid, wedding guest, junior and occasion wear.

Cook understands that as far as her ambitions for David’s go, it still begins and ends with the bride.

“We needed to serve the brides that wanted a dress that was under $500, but she did not want to sacrifice the quality of a $5,000 dress,” Cook told Webster. “That is the key. She did not want a cheap dress. That is not what she wanted. She wanted a highly constructed, beautiful branded gown of high quality that was under $500. So that’s when we launched, discovered and defined the Edit by DB Studio brand. And we wanted to serve it to as many customers as possible, which is why we partnered with Amazon.”

Aisle to Algorithm

The partnership creates huge opportunities for David’s revenue and Cook’s vision of a special occasion apparel and media company. Nothing says “aisle to algorithm” like buying formal occasion attire on Amazon. But the partnership raises new issues for David’s, which Webster pressed Cook on during their conversation. How could a bride and her guests say yes to the dress without trying it on? How would the mass market Amazon experience play in the specialized, upscale world of David’s? And how would formal apparel play on Amazon?

All those questions define Cook’s next challenge, which is convincing brides that a dress ordered with one click can still make them feel flawless on the big day. “Most women, most brides want to come in for an appointment. They want to fit the dress because fit is everything,” Cook acknowledged. Yet pandemic‑era virtual consultations proved the fitting room can be digitized. “Our virtual stylists are incredible. I mean, they sell millions and millions and millions of dollarsof gowns online without ever seeing a bride in person.”

For Amazon shoppers, the safety net is logistics, not tailoring. “Amazon has such an incredible model, meaning you can buy multiples and return. That process is extremely convenient for brides,” she said, noting Happy Returns counters at Kohl’s and UPS that remove friction from the try‑buy‑return loop. And David’s is hardly ceding speed to its new partner. The chain already has an inventory of about 400,000 dresses locally across the country, with each of its retail locations serving as a distribution center. The difference, she said, is that Prime now meets a cohort of “last‑minute brides” who shop “a month away”— or even a weekend before — without compromising fit or style.

Cook insists the partnership will enhance rather than dilute the 75‑year‑old brand. “We think we’re fulfilling a need on Amazon to offer trustworthy, high-quality, really sophisticated craftsmanship gowns,” she said, recalling that reporters at New York Bridal Fashion Week could not single out the Amazon‑bound styles from the couture rack.

Asked whether the anything‑goes Amazon cart — where a $199 wedding dress might sit alongside paper towels — could cheapen the experience, Cook was blunt: “If our bride chooses a David’s dress but she wants to buy it on Amazon, we’re serving her … we’re just so privileged to serve her.” The storefront, she noted, flows directly from management’s first pillar under its “Aisle to Algorithm” roadmap: “to own all bridal across all price points and channels.”

Data to Aisle to Algorithm

What David’s hopes to gain from the experiment is data and speed. “We want to know what sells the quickest … Amazon could just get us data faster,” Cook said. Occasion‑wear prices on the marketplace have already climbed from $49 four years ago to $199 today, and David’s “is forecasting that the Amazon price point will continue to grow as they lean more heavily into fashion. She also wants a close look at Prime‑style fulfillment: “They are the best at distribution … is there something we can learn from them there as partners?”

Traditional seasonality is shifting, too. “About three years ago, we were seeing this massive spike come up in May, Cook said, eventually realizing, “guess what else requires a white dress? Graduation. Meanwhile, many ceremonies now require wardrobes, not just one gown. “Some of our data say their second dresses, some of our data say their third dresses … we even have brides buy an exit dress, she said, adding that Amazon’s two‑day promise “allows them to sort of level up those second and third and tertiary dresses without sacrificing look or fashion.”

Wholesale rollout is next. The vertically integrated chain “is going to be partnering with boutiques to supply gowns at a fraction of current wholesale prices. And Cook double-clicked on her last interview with Webster, which dealt mostly with the role AI will play in the aisle-to-algorithm journey. “Our vision is to be the largest AI retail and media marketplace for all special occasions.”

Cook closed with the metric she guards most closely. “The number one word customers use when they describe us is trust, and we will never do anything to break that trust, she said.

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SEC Forms Task Force Promoting ‘Responsible AI Integration’ | PYMNTS.com

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The initiative, announced Monday (Aug. 4), is designed to promote responsible use of AI while enhancing innovation and efficiency in the SEC operations. Valerie Szczepanik, who has been named the SEC’s chief AI officer, will head the task force.

“Recognizing the transformative potential of AI, the SEC’s AI Task Force will accelerate AI integration to bolster the SEC’s mission,” the regulator said in a news release.

“It will centralize the agency’s efforts and enable internal cross-agency and cross-disciplinary collaboration to navigate the AI lifecycle, remove barriers to progress, focus on AI applications that maximize benefits, and maintain governance. The task force will support innovation from the SEC’s divisions and offices and facilitate responsible AI integration across the agency.”

Before being named the chief AI officer, Szczepanik directed the SEC’s Strategic Hub for Innovation and Financial Technology. She has also served as associate director in the SEC’s Division of Corporation Finance a Special Assistant United States Attorney at the United States Attorney’s Office for the Eastern District of New York, according to the release.

The announcement comes two weeks after the White House released a policy roadmap outlining President Trump’s push to keep America in the lead in the global AI race.

“America’s AI Action Plan” follows Trump’s executive order in January that ordered federal agencies to overturn AI regulations put in place by the Biden administration, which focused on oversight and risk mitigation.

“As our global competitors race to exploit these technologies, it is a national security imperative for the United States to achieve and maintain unquestioned and unchallenged global technological dominance,” Trump said in the opening of the AI action plan.

In other AI news, recent research by PYMNTS Intelligence finds that almost all chief product officers (CPOs) expect generative AI to reshape the way they work.

That research showed that nearly all product leaders say AI will streamline workflows within three years, compared to 70% last year. And more than 80% anticipate improvements in data security, compared to half of the CPOs surveyed last year.

“The shift over the past year among CPOs reflects a deeper change in institutional mindset. Gen AI is no longer experimental — it’s strategic,” PYMNTS wrote. “The pressure to deliver more with fewer resources has pushed firms to scale automation of routine, labor-intensive tasks, not just explore how that can be done.”

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Experian Unveils New AI Tool for Managing Credit and Risk Models | PYMNTS.com

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Experian Assistant for Model Risk Management is designed to help financial institutions better manage the complex credit and risk models they use to decide who gets a loan or how much credit someone should receive. The tool validates models faster and improves their auditability and transparency, according to a Thursday (July 31) press release.

The tool helps speed up the review process by using automation to create documents, check for errors and monitor model performance, helping organizations reduce mistakes and avoid regulatory fines. It can cut internal approval times by up to 70% by streamlining model documentation, the release said.

It is the latest tool to be integrated into Experian’s Ascend platform, which unifies data, analytics and decision tools in one place. Ascend combines Experian’s data with clients’ data to deliver AI-powered insights across the credit lifecycle to do things like fraud detection.

Last month, Experian added Mastercard’s identity verification and fraud prevention technology to the Ascend platform to bolster identity verification services for more than 1,800 Experian customers using Ascend to help them prevent fraud and cybercrime.

The tool is also Experian’s latest AI initiative after it launched its AI assistant in October. The assistant provides a deeper understanding of credit and fraud data at an accelerated pace while optimizing analytical models. It can reduce months of work into days, and in some cases, hours.

Experian said in the Thursday press release that the model risk management tool may help reduce regulatory risks since it will help companies comply with regulations in the United States and the United Kingdom, a process that normally requires a lot of internal paperwork, testing and reviews.

As financial institutions embrace generative AI, the risk management of their credit and risk models must meet regulatory guidelines such as SR 11-7 in the U.S. and SS1/23 in the U.K., the release said. Both aim to ensure models are accurate, well-documented and used responsibly.

SR 11-7 is guidance from the Federal Reserve that outlines expectations for how banks should manage the risks of using models in decision making, including model development, validation and oversight.

Similarly, SS1/23 is the U.K. Prudential Regulation Authority’s supervisory statement that sets out expectations for how U.K. banks and insurers should govern and manage model risk, especially in light of increasing use of AI and machine learning.

Experian’s model risk management tool offers customizable, pre-defined templates, centralized model repositories and transparent internal workflow approvals to help financial institutions meet regulatory requirements, per the release.

“Manual documentation, siloed validations and limited performance model monitoring can increase risk and slow down model deployment,” Vijay Mehta, executive vice president of global solutions and analytics at Experian, said in the release. With this new tool, companies can “create, review and validate documentation quickly and at scale,” giving them a strategic advantage.

For all PYMNTS AI coverage, subscribe to the daily AI Newsletter.

Read more:

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Experian Targets ‘Credit Invisible’ Borrowers With Cashflow Score

CFPB Sues Experian, Alleging Improper Investigations of Consumer Complaints

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Anthropologie Elevates Maeve in Rare Retail Brand Launch | PYMNTS.com

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Anthropologie is spinning off its Maeve product line as a standalone brand, a rare move in a retail sector where brand extensions have become less common.

The decision reflects shifting strategies among specialty retailers as they work to adapt to changes in women’s fast-fashion and evolving consumer behavior.

Maeve, known for its blend of classic silhouettes and modern flourishes, will now operate independently with dedicated storefronts and separate digital channels, including new social media accounts and editorial content platforms, according to a Monday (Aug. 4) press release. The brand is inclusive, spanning plus, petite, tall and adaptive options, which broaden its reach as the industry contends with demands for representation.

Maeve has nearly 2 million customers and was the most-searched brand on the Anthropologie website over the past year, the release said. It is also a driver of TikTok engagement. Several of the company’s most “hearted” items online are already from the Maeve label.

“Maeve has emerged as a true driver of growth within Anthropologie’s portfolio,” Anu Narayanan, president of women’s and home at Anthropologie Group, said in the release. “Its consistent performance, combined with our customers’ emotional connection to the brand, made this the right moment to evolve Maeve into a standalone identity.”

While many retailers have retreated from new brand creation, opting instead to consolidate or focus on core labels, Anthropologie’s move suggests confidence in cultivating sizable, engaged consumer communities around sub-brands.

Anthropologie is backing Maeve’s standalone debut with a comprehensive marketing campaign, including influencer-driven content, a new Substack, a launch event in New York, and a charitable partnership, per the release. The first Maeve brick-and-mortar store is set to open in Raleigh, North Carolina, in the fall.

The move comes as the apparel sector in the United States sees shoppers valuing not just price and selection, but brand story, inclusivity and digital experience. While the outcome remains to be seen, Anthropologie’s gamble on Maeve reflects a belief that consumers remain eager to embrace distinctive, thoughtfully curated fashion.

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