AI Fashion Show Improves Digital Access for Women in Pakistan

World Economic Forum – In fashion, a new show uses AI to bring art and tech close. It helps Pakistani women meet style in new ways. Tech joins art to build a show that is clear and simple.

Bridging the Gap in the Fashion Industry

Fashion often feels tight and closed. Many women face limits from their home, income, or society. This AI show breaks those walls by giving a digital space. It lets Pakistani women see the latest looks without a trip. Designers, tech makers, and culture fans join as one team. They use AI to add a fresh touch to each design. The event honors local style with modern looks.

Engaging the Digital Audience

The show works with virtual models and digital figures. They wear clothes that mark Pakistan’s deep fabric roots. They also bring in new styles. Viewers click to join the digital show. This close link makes the event feel more real than a normal runway. It lets women share their taste and choose looks that suit them.

Empowerment Through Technology

AI in this event mixes art with a plan for more work chances. Local designers get a chance to reach more eyes. Their work appears online for sales and more fans. Tech helps break old rules and gives room for income. Experts say that events like this add women’s voice in many fields. The AI show stands as a starting point for future creations.

Conclusion

The launch of this AI show marks a shift in tech and fashion. It brings a new open space for Pakistani women. As digital use grows, the event brings out local culture while keeping room for new ideas. Women in Pakistan find fresh ways to show themselves and gain work strength. This blend of tech and design is a strong step in the talk about women’s power in a fast-changing world.

AI Fashion Show Empowers Women in Pakistan Through Digital Access

May 7, 2025 – World Economic Forum

An AI fashion show in Pakistan marks a change. The show connects digital access with real life gains for women. Women gain new skills that help them work and learn. Their power builds as tech meets hard work.

Bridging the Digital Divide

Mobile phones spread wide in Pakistan. Almost 80% of the people use them. However, women and men do not share these tools alike. Data shows 38% fewer women own a phone. Only 33% of women use mobile internet, while 53% of men do. Lower phone use restricts women at school and in jobs. Factors such as cost, reading skills, and local customs keep many from joining in.

Empowering Women Through Digital Tools

New plans now help women build skills. Groups in Pakistan teach digital work and money skills. Phone companies now supply cheaper plans aimed at women. One program, PTCL’s “Ba-Ikhtiar,” wins praise. It teams up with the Pakistan Poverty Alleviation Fund and Daraz. The program gives smartphones, digital wallets, and training in e-commerce and money basics. Many women start online shops, sell handmade items, and cut middlemen out.

Celebrating Innovation and Entrepreneurial Spirit

The AI fashion show brings design and tech close. Women who made traditional clothes now see a clear stage. AI animates models wearing designs from program participants. This event gives a spot for women to share their work. Their work now touches eyes both near and far.

A Path Toward Digital Inclusion

The “Ba-Ikhtiar” program shows real work toward change. The program will spread to 20 districts soon. It aims to help over 2,000 women in the next 18 months. Hands-on classes build skills that support work and business. As tech grows, women join the digital world with both men. Each step makes the gap smaller.

Conclusion

The AI fashion show stands as a sign of change. Women in Pakistan see tech as a tool to build better lives. Clear links between digital skills and progress help all citizens share in tech growth.

eBay Reports Q1 Earnings: Strong AI Fashion Initiatives Drive Growth

eBay’s Quarterly Performance Exceeds Expectations
eBay Inc. (NASDAQ: EBAY) shared its 2025 first-quarter results. The company earned $1.38 per share, beating analyst views of $1.34. Revenue reached $2.58 billion, just above the $2.55 billion forecast. Last year, this quarter brought in $2.56 billion. The boost comes as eBay works on AI in its fashion section.

Growing Gross Merchandise Volume (GMV)
eBay saw its gross merchandise volume grow by 2% in constant currency. Needham analyst Bernie McTernan pointed out that GMV rose more in March and April. He links this rise to a 6% jump in sales for current season products in key categories.

Analysts Offer Positive Outlook
After the news, experts spoke well of eBay’s run in the quarter. McTernan renewed his Buy rating on the shares and moved his target from $72 to $78. JP Morgan’s analyst Doug Anmuth kept a Neutral rating and raised his target from $54 to $60. BofA Securities stayed Neutral, setting a target at $71. Investments in AI and Fashion
eBay puts funds into AI and machine learning for its fashion work. The company added new features, like active fashion feeds, which improve the shopping feel in the U.S. and U.K. This step ties with the trend toward sustainable buying and the growing pull of pre-owned clothes.

Geographic Expansion and Financial Projections
In the U.K., eBay’s customer-driven programs—such as Managed Shipping and eBay Balance—went beyond expectations. Even with pressures from global issues and U.S. tariff doubts, eBay aims for low single-digit GMV growth in constant currency. Financial views for 2025 also rose, with adjusted EPS estimates bumping from $5.32 to $5.37. Market Reaction
On Thursday, eBay shares fell slightly. Trading at $67.92, stocks dropped by 0.35%. Investors now watch as eBay uses AI to boost customer service and drive sales.

Conclusion
eBay stays set on its AI work in fashion to meet new customer trends. Upgrades in ratings and steady expert views show trust in eBay’s steps for growth. As the company works on new ideas and widens its reach, investors will keep a close eye on its progress.

AI-Generated Fashion Shoots Save Money for Retailers

By PYMNTS | April 30, 2025

Retail changes fast. A new trend grows in fashion. AI makes fashion shoots. Companies like BetterStudio, Lalaland, Botika, and FashnAI use AI. They let stores show clothes and things without high photo costs.

The Rise of AI in Fashion Marketing

Stores need good pictures. AI models help stores get quick images. A photo shoot used to need a photographer, models, and a team. Now, AI image work costs 75 cents to $1.30 per picture. BetterStudio started in March 2025. They let stores upload clothing photos. The system builds images with different AI models. This setup cuts costs and lets brands use the same picture in many ads. Luca Arrigo, the CEO, says the goal is to help all who work in fashion.

Creative Autonomy for Retailers

Marketers make images that show clothes on many body types and colors. Short sentences show ideas fast. A store sees a garment on different looks quickly. Companies like Lalaland, Botika, and FashnAI also help. They let stores show many kinds of models for global audiences.

Ethical Considerations and Industry Concerns

AI saves money. The trend also brings job worries. Some work groups ask for rules. In New York, a law needs a model’s clear yes before a digital image is made. A study from the Model Alliance shows many models fear that AI will hurt their jobs. Many models say they have sent body scans for digital work.

The Future of AI in Fashion

More brands use AI. H&M plans 30 digital models for ads. Human art joins with AI to show clothes in new ways. BetterStudio will soon start a market for social media stars. Stars send photos to brands with AI tweaks. Arrigo says his aim is to help true stars and models while letting groups work together.

For more news on tech and retail trends, stay with PYMNTS as we cover the changes in the market.

Phoebe Gates Set to Change the World of Second-Hand Fashion with AI Platform

Date: May 1, 2025
By: TOI Trending Desk

Phoebe Gates, daughter of Bill Gates, enters the world of used clothing. She builds an AI tool named Phia with her friend from Stanford, Sophia Kianni. This tool links smart tech with a new way to shop for pre-owned clothes. It cuts down waste from fast fashion.

A Growing Focus on Sustainability

Fast fashion started in the 1990s. Brands like Zara make clothes very fast. That speed leads to piles of gowns and shirts in dumps. Unsold garments now hurt nature with heavy pollution.

Young buyers now choose thrift stores. They favor clothes that do less harm to the earth. Phoebe Gates joins the scene as shoppers seek a simple change.

Introducing Phia

Phia comes from the clear plan of Gates and Kianni. The tool went live on April 24, 2025. It collects more than 250 million used items from sites like eBay, StockX, ThredUp, and Vestiaire Collective. Phia checks current market points to set fair prices. It makes buying used clothes plain and quick.

In an interview, Gates said, "Women spend a lot on shopping. Not giving them a special buy that suits both their purse and the earth is hard to see."

Market Outlook

The used clothing market grows fast. A 2023 report by ThredUp shows that the global resale market may double by 2027 to a value of $350 billion. Even with many sites in this space, Gates feels Phia shows its own clear way.

For buyers who want a low-cost pick that cares for nature, Phia fits well. Kianni asked, "How do you know you get a fair deal? We built this tool because we missed one in college."

Addressing the Environmental Impact

The fashion world sends out much carbon gas and wastes water. It now makes 92 million tons of textile waste each year, say experts at the United Nations Environment Programme. Phia helps by providing a way to shop that is kind to our earth. The tool also asks buyers to think hard about what they choose.

Phia does more than show used items. It works to change how buyers view and purchase clothes. Now, as the tool starts its path, all watch how it may shift habits and care for nature.

In sum, Phoebe Gates and Sophia Kianni bring Phia as a fresh answer to fast fashion. The AI tool weighs both cost and care for the world. With Phia in play, the world of used fashion may soon see a bold change for careful buyers.

OneOff: Changing Celebrity-Inspired Fashion Shopping With AI

OneOff enters fashion retail with a new spin. This startup helps buyers find looks from famous stars. Emir Talu and Bobby Maylack started it. The system uses AI to make shopping quick and clear. Young shoppers now choose star-inspired clothes over old brand names.

The Star Effect on Fashion

Gen Z and young millennials now choose styles worn by stars. Many use apps like Instagram. Fans see real-time images of favorite looks. Talu said, "Young people use Instagram to find clothes they like. This app now drives most style choices."

At OneOff, the idea stays simple. The user visits the website and answers one question about which star they admire. The site then shows a short list of products that match that look. For example, a search for Addison Rae styles shows items like Repetto pumps costing $262 and a Dolce & Gabbana bustier top priced at $995. This list mixes high-end items and simple basics with clear links to the star’s look.

Fixing a Hard Shopping Task

Buying clothes seen on social media now feels slow. Talu said, "Instagram Shop came and went. Shopping on the app now relies on ads." Although affiliate links let people shop via social media, the steps feel long and hard. OneOff fills this gap. It uses AI to cut out extra steps while keeping the process clear.

When Talu and Maylack first looked at this area, they did not see a simple, quick fix. This need drove them to build their own website. They gathered a team with skills in fashion and star-related trends to work on the project.

Funding and Partners

OneOff raised money from well-known backers early this year. Investors include Pentas Ventures, the Hermès family office, and several figures from show business and fashion. A joint notice from Hermès & Lowe Family Offices said, "People now find fashion in new ways. We believe the OneOff team fits today’s style needs."

At launch, OneOff worked in beta with about 100 creators. These include stars like Hailey Bieber, Bella Hadid, and Sofia Richie Grainge, as well as stylists such as Dani Michelle. The founders picked them from top searches to match popular looks.

A Tailored Shopping Journey

Today, OneOff links to clothes from shops like Ssense, Mytheresa, and Net-a-Porter. As more people join, the site will add more brands by joining directly with stores.

OneOff plans to make shopping feel like a personal stream. AI will learn each user’s taste to suggest items that match. Talu dreams of a system that feels like a tailored feed, much like a home screen that shows just the right picks for each user.

AI in Fashion Retail

AI now plays a big part in many stores. Talu feels that OneOff blends AI with a human check. Every product picked by the AI gets a team review before it is shown. This extra step keeps ideas clear and true to each star’s style.

The company also gives star partners a way to earn money. A simple revenue split lets verified creators earn 10 to 25 percent. This plan helps them gain from the looks they set without complex work.

Conclusion

OneOff starts its work to change star-based fashion shopping. It faces the task of keeping up with fast-changing tastes yet keeping the site clear and fun. Many buyers seek quick style hints and clear links. OneOff meets this call by using AI that works with people. Its focus on star looks meets the wish many shoppers have: to dress as their favorite stars.

OneOff: The AI Shopping Agent for Celebrity Fashion

Innovating Fashion Discovery

Social media reshapes fashion. OneOff enters the scene with an AI search for style. Emir Talu and Bobby Maylack built the platform. They use the power of stars to guide shoppers. Gen Z fans watch celebrities for style cues. Smart tools meet a clear need.

The Concept Behind OneOff

OneOff makes fashion choice simple. It asks one clear question: "Who are you wearing?" Fans pick a celebrity and see AI-sent product matches. The picks mirror the star’s look or draw from it. For example, a search for TikTok star Addison Rae shows red pumps and a polka dot bustier. The platform lists upscale items along with simple basics. Talu says higher-priced items raise earnings for the site and its partners.

The Celebrity Influence on Shopping Behavior

Celebrities shape today’s trends. Magazines and online channels display their outfits. A report shows that 91% of Gen Z follow creators for style tips. Social media and star images send style hints. Bottega Veneta uses early star looks in its posts. Stars like A$AP Rocky and Kendall Jenner serve as style guides.

Addressing Shopping Frustrations

Instagram grows fast, yet its shop remains hard to use. Talu sees that finding star outfits on the app takes too long. This challenge led Talu and Maylack to build OneOff. They work to make buying simple. The company gained funds from several investors tied to fashion and media. They see a shift in how buyers search for trends.

A Unique Shopping Experience

OneOff is now in beta mode. It shows products from about 100 creators. Stars like Hailey Bieber, Bella Hadid, and Sofia Richie appear here. The list of creators comes from a strict look at user interest. Each week, Talu and Maylack add fresh names. When users shop, verified stars earn a share. Stars get paid without running their own web stores.

Using AI for a Personal Touch

OneOff uses AI to improve style searches. Talu envisions the service like a film app for fashion. The system learns what a user likes over time. It then sends picks that fit personal taste. Some may worry if AI fits unique style. Talu trusts that a human check guides the process. The system gets regular reviews to keep its picks in line with taste.

A New Era of Affiliate Marketing

At its core, OneOff builds a new model in online selling. It binds star style with quality shop items. The platform fills a gap in the market. More social stars now seek ways to earn from their style. OneOff stands as a clear answer that simplifies shopping for busy fans. As the site grows, it will change how buyers and stars connect in a world led by social media and celebrity trends.

Arkana Digital Launches Innovative AI Fashion Photography Agency

New York City, NY – April 23, 2025 – Arkana Digital steps forward as an AI fashion photography agency. Its base is in New York City. The team joins smart computer work with creative art to build new ways for brands to show style.

Changing Fashion Visual Storytelling

Arkana Digital starts with a simple idea. It thinks old photo methods can get a boost when combined with smart machines. Founder Luca Babini states, “We do more than capture images. We build brand stories.” Babini has a long record in both high fashion and photo journalism. He leads the team with deep experience in art and light.

Arkana Digital speeds up the photo process. It cuts time and cost while giving brands pictures that speak to viewers. The agency takes each shot and works on it until it tells a clear story.

A Set of Creative Services

Arkana Digital works like an editor who keeps the focus on each brand’s look. The team first learns a client’s style and then makes images that match. The services include:

• AI-Prep Garment Photography: Shooting in the studio with mannequins built for computer work.
• Image Shift: Taking client images and running them through a custom AI process.
• Visual Story Models: Building clear picture stories that fit each campaign.
• Post-Production Work: Delivering clean, high-grade images after careful refining.
• Short Video Clips: Crafting quick video pieces for social sites.

The agency can rework one image into many different styles. This speed lets brands try many looks in a short time.

A Global Vision

Arkana Digital is not only in the U.S. It has also opened new spots in Mexico and Italy. This growth helps the agency work with fashion brands around the world.

The Technological Backbone

Arkana Digital teams with Caimera.ai, a top technology partner. Their state-of-the-art tools bring smart work and speed to every project. Kirti, Caimera’s co-founder, works with the team to solve tough AI challenges in visual production.

The Leader Behind Arkana Digital

Luca Babini stands at the front of Arkana Digital. He has worked with well-known brands and famous names. His photos have appeared in Vogue Italia, Vanity Fair, and Esquire. His work shows care for green ideas and fresh art. He makes sure that each image tells its own clear story in a fast-changing world.

Arkana Digital now starts its work. Fashion brands seeking fresh photo paths may find a strong partner in this new agency.

For more information about Arkana Digital and to view its work, visit their website at arkana.digital.

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This article shows Arkana Digital as a new name in fashion photography. The team uses smart machines to shift how picture stories are made. Its work brings a fresh view to a field that values art and speed.

OneOff: The AI Shopping Agent to Emulate Your Favorite Celebrity’s Style

OneOff is a smart shop tool. It helps you copy the style of a loved celebrity. Emir Talu and Bobby Maylack built this tool using AI. It serves Gen Z and young millennials. They see stars on Instagram. The tool makes shop search fast and clear.

Bridging the Gap Between Celebrities and Consumers

Celebrities mix with style and fashion. OneOff meets a growing trend. Young buyers use Instagram every day. The app finds clothes with simple steps. Talu says users now search with clear instructions. OneOff links online shopping with Instagram discovery. Users answer, "Who are you wearing?" by naming a star. In return, OneOff shows shop items. Some items match exactly; others copy the style. For example, search for TikTok star Addison Rae and you may see red pumps or a stylish top. The list hosts both high-price items and cheaper picks.

Meeting Demand

Celebrity style fits modern shop habits. A recent report shows that 91% of Gen Z buyers follow trends on social media. Fashion magazines now mirror celebrity looks. OneOff fills a gap with a simple shopping page. The founders know that buying items seen on Instagram is hard. Old shop methods force buyers to click through many posts and links.

Launch and Future Developments

OneOff now runs in beta. It shows about 100 creators, including names like Hailey Bieber, Bella Hadid, and Sofia Richie. The team picked these stars from popular search counts. As users join in, OneOff will add more products. Verified creators may earn money when a sale comes from their style pick. This way, stars earn cash without managing a shop page.

The Technical Edge

OneOff uses smart tech to keep the shop process short. It works with language models and also uses a human check. A person reviews each product before it appears. This check looks at the style and taste of the item.

The Role of Affiliate Marketing

The affiliate market now grows very fast. Some estimates see creator earnings reach over $1 billion in 2024. Many top stars do not have time for a shop page. OneOff makes this step more simple. The new model helps stars earn cash from style sales. Maylack says that the main issue is time, not technology.

A Visional Future

OneOff follows a model like Netflix menus. User choices build a list of products that fit their taste. With AI joining style shows and users picking their likes, OneOff becomes a shop for fashion fans. It helps buyers copy the looks of their favorite stars in a very easy way.

AI Fashion Shopping Tools: Phia Changes How Consumers Shop

In an age when online shopping peaks, a new app joins the field to help buyers spend less and save time. Phia is a free iOS tool and mobile browser add-on that uses AI to pair shoppers with the best prices for both new items and used ones. It taps into a database that holds 250 million used items from over 40,000 websites, so buyers check prices faster.

The Functionality of Phia

Phia meets a common need: fair prices. It shows a quick, live check that links each price to one of three labels: high, normal, or fair. When a price stands out as too high, Phia connects users to lower-price picks and similar items. This clear link between price and choice helps buyers act fast.

Changing E-Commerce With AI

AI tools like Phia mark a shift in online buying. The app helps shoppers compare prices in real time and makes cost checks easier. Its fast price check shows when a product costs more, so buyers get clear hints for better choices.

Optimizing the Secondhand Market

Phia also puts care into the used market. As more buyers think about saving resources, this app gives clear price checks for used goods. By showing the real cost of pre-owned items, Phia gives users a way to trust in used purchases and balance the market.

Personalized E-Commerce Experiences

Phia fits into the trend for shopping that feels one-to-one. Its AI sends picks that match each buyer well. This link between a shopper and smart choices helps save time and money while changing the normal online shopping pattern.

Industry Implications

New AI shopping tools move retail onto different paths. As online shops grow, adding AI aids the exchange of clear cost hints between sellers and buyers. Phia shows that users can browse vast catalogs with small steps that tie items closely together. This shift may lead to more fair pricing and smarter purchasing choices.

The rise of these tools may bring big gains to the used market, as clear price info makes used items a sound pick compared to new ones. Phia and similar tools may shape a new trend where buyers hold the power and shop in fresh ways.

In conclusion, Phia stands as an example of tech that makes shopping easier and price checks clearer. As AI grows, Phia and its likes will keep changing shops, helping buyers save money while supporting a more balanced world of goods.