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Rakuten Survey: 54.3% of Gen Z Use Artificial Intelligence While Shopping

Rakuten

A new study conducted by Rakuten revealed that Gen Z is increasingly using generative artificial intelligence tools in the process of purchasing products and services. According to the survey, 54.3% of young consumers use generative artificial intelligence before shopping or during the purchasing process. The findings provide up-to-date data on the use of artificial intelligence in e-commerce and retail shopping experiences.

Gen Z’s AI Usage Rate Stands Out in Rakuten Survey

The survey, which included 637 “Rakuten Gakuwari” users aged 15-25 across Japan, was conducted between July 1 and August 3, 2026. A total of 38% of participants reported using generative artificial intelligence almost every day. In terms of usage purposes, education and learning ranked first at 62.6%, followed by searching for information about hobbies at 47% and getting recommendations at 30.9%.

Among those who use artificial intelligence in e-commerce shopping, 3.6% stated that they always use the technology, 13.2% use it frequently, and 37.5% use it occasionally. A total of 44.4% of users use AI tools to narrow down the products they want to compare, 27.8% use them to find the product or service they want to purchase, and 11.3% use them while conducting research directly on an e-commerce website.

Search Engines Rank First in Terms of Trust

Despite the increasing use of artificial intelligence, search engines remained the most trusted source of information in the shopping process, at 42.1%. Rakuten’s research showed that consumers use AI tools particularly to filter product options and make the comparison process easier.

In the survey, the proportion of respondents who had a positive attitude toward companies using AI in their services was measured at 31.7%. The proportion of respondents who described these companies as “forward-thinking” was 43.6%, while 26.7% considered them “open to innovation” and 17.4% viewed them as suitable for their generation. Meanwhile, the proportion of respondents who had a positive attitude toward Rakuten improving its services through the use of generative artificial intelligence reached 40.8%.

AI-Powered Product Discovery in E-Commerce

Since December 2025, Rakuten has been offering an agentic AI-based shopping assistant within the Rakuten Ichiba shopping app. Users can receive recommendations from approximately 500 million products by providing information such as budget, purchase purpose, and usage scenario through text, voice, or images. In addition to product information and price comparisons, the system can also make use of up-to-date data from the web.

A total of 30.6% of survey participants reported using generative artificial intelligence to gather product information before using the company’s e-commerce services. Rakuten AI is among the tools developed to provide product discovery and personalized shopping experiences by engaging in dialogue with users throughout this process.

Finland to Host €387.8 Million LUMI-AI Supercomputer Investment

Finland to Host €387.8 Million LUMI-AI Supercomputer Investment

Finland is set to become home to a €387.8 million artificial intelligence supercomputer as Europe accelerates efforts to strengthen its AI and high-performance computing infrastructure.

Europe is moving forward with a major AI infrastructure investment in Finland as the EuroHPC Joint Undertaking has signed a contract with French technology company Bull to deliver the new LUMI-AI supercomputer.

The €387.8 million project is designed to significantly expand Europe’s computing capacity for artificial intelligence, scientific research and industrial applications, supporting the region’s efforts to compete with the United States and China in advanced technologies.

Six European Countries to Finance the Project

The investment will be financed jointly by the EuroHPC Joint Undertaking and a six-country consortium comprising Finland, Czechia, Denmark, Estonia, Norway and Poland.

Around half of the project’s funding will come from EuroHPC, while the remaining financing will be provided by the participating countries. The system will be owned by EuroHPC, with Finland’s public technology center CSC responsible for its operation.

LUMI-AI will be installed at CSC’s data center in Kajaani, alongside the existing LUMI supercomputer. The new system is expected to become operational in the second half of 2027.

AI Computing Capacity to Increase Tenfold

LUMI-AI will build on the capabilities of the existing LUMI system, one of Europe’s leading supercomputers.

The new infrastructure is expected to increase AI-focused computing capacity by approximately 10 times, while traditional high-performance computing capacity is projected to nearly double.

The system will use BullSequana XH3500 architecture, AMD Instinct MI430X accelerators and sixth-generation AMD EPYC processors. IBM will provide storage infrastructure, while Nokia will contribute networking technology.

The infrastructure will also provide API access, allowing companies and startups to integrate LUMI-AI’s computing resources into their own software and development environments.

Supporting Businesses, Startups and Research

LUMI-AI is intended to serve more than academic research. Companies, startups and SMEs will be able to use the infrastructure for AI development and computationally intensive applications.

Potential use cases include healthcare, pharmaceuticals, energy, automotive technologies, climate modelling, advanced materials and large language models.

The broader LUMI AI Factory ecosystem is designed to bring together computing resources, data and expertise, enabling companies and researchers to develop, test and scale AI solutions.

Sustainability Built Into the Infrastructure

Sustainability is another key component of the project.

LUMI-AI will be powered by renewable electricity and use liquid cooling technology to improve energy efficiency. Heat generated by the supercomputer will also be recovered and supplied to Kajaani’s district heating network, allowing waste heat from computing operations to contribute to local heating.

The new system is also expected to work alongside the LUMI-IQ quantum computing platform, creating an ecosystem that combines conventional high-performance computing, AI and quantum technologies.

Strengthening Europe’s AI Infrastructure

The LUMI-AI investment forms part of Europe’s broader strategy to expand its AI infrastructure and reduce dependence on computing capacity outside the region.

The EuroHPC AI Factories programme is developing a network of AI-focused computing facilities across Europe. The growing infrastructure is intended to provide researchers, startups and businesses with access to the computing power required to develop next-generation AI applications.

For Finland, the investment further strengthens Kajaani’s position as a European hub for high-performance computing and AI innovation.

With LUMI-AI expected to enter operation in 2027, the project could significantly expand Europe’s capacity to train advanced AI models, conduct large-scale scientific simulations and support businesses developing computationally intensive technologies.

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The Store Is Not Dead. It Just Has a New Job

Store in not Dead

For more than a decade, retail has been framed as a simple competition, physical stores versus E-commerce.

One side was supposed to win. The other was supposed to disappear.

I increasingly believe that this framework is outdated.

The physical store is not surviving despite e-commerce. In many cases, it is becoming more valuable due to e-commerce.

Recent research published in Harvard Business Review offers a useful explanation. Researchers Ayşe Çetinel, Gürhan Kök, and Robert Rooderkerk examined physical store openings by an online-first, multi-brand electronics retailer and found that stores should not be judged solely by the revenue generated within their walls.

That sounds obvious. Yet many retailers still manage stores and E-commerce as separate businesses.

Stop Thinking in Channels

Retail organizations often have separate teams, targets, and P&Ls for stores and E-commerce.

The online team wants digital revenue to grow. The store team wants physical revenue to grow. Each side protects its own numbers.

Customers do not behave this way.

A consumer may discover a product on social media, compare it online, visit a store to see it, order it through an app, and return it in person.

For the customer, this is one journey.

For many retailers, it is still several departments.

The HBR study demonstrates the problem well. After three physical stores opened, nearby online net revenue initially declined by around 8% to 11%. Yet two large, experience-led stores increased total net revenue across channels by 21.7% and 23.2%. A smaller convenience-oriented store cannibalized online sales without producing meaningful overall growth.

The lesson is important: Cannibalizing your own channel is not necessarily a problem. Failing to increase total customer value is.

The Store Needs a New Job

Historically, stores existed because that was where transactions happened. Digital commerce changed that permanently.

If customers already know what they want, can order it in seconds and receive it quickly, a store that merely recreates an online catalog on shelves has limited strategic value. A modern store needs to solve something that digital cannot solve as well.

Research identifies three particularly important functions: helping consumers evaluate products, offering immediate fulfillment, and making returns or post-purchase problems easier to resolve.

I would go slightly further.

The store of the future is not simply a sales channel. It can simultaneously become a service center, fulfillment node, trust mechanism, showroom, and experience platform.

This matters particularly in furniture, beauty, electronics, luxury, eyewear and premium fashion, where touch, fit, scale, performance or expert advice can still materially change a purchasing decision.

These categories will not become less digital. Their digital journeys will become more sophisticated, while physical interaction remains valuable at specific moments.

Not Every Store Deserves to Survive

This argument should not be interpreted as a call to open more stores indiscriminately.

A bad store does not become strategically valuable simply because we describe it as omnichannel.

Even within the successful stores studied by the researchers, more than four in ten product categories produced no measurable uplift. Some benefited strongly from physical presence; others did not.

Retailers, therefore, need to become much more selective.

Televisions may justify demonstration zones. Furniture may need complete room settings. Beauty requires trial and consultation. Accessories may simply perform better when connected to destination products.

The question should not be: “How do we make every store more experiential?”

It should be: “Where does physical experience genuinely change the customer’s decision?”

The difference is enormous.

One creates expensive retail concepts. The other creates productive retail.

The Store Is Also Becoming Infrastructure

Physical stores increasingly have another role: fulfillment.

A location may support online orders, shorten delivery distances, hold inventory closer to customers, enable pickup, and simplify returns.

Once this happens, measuring the store only through its own sales becomes even less meaningful.

This is particularly important as fulfillment speed, inventory visibility and last-mile economics become central competitive factors in E-commerce.

Amazon taught the industry that logistics is part of the customer experience.

Omnichannel retailers are now discovering that the store itself can become part of logistics.

AI Makes the Question More Interesting

Artificial intelligence will make online shopping dramatically more efficient.

Search will become conversational. Recommendations will become deeply personalized. AI agents may increasingly compare products, identify the best offers, and eventually make some purchasing decisions for consumers.

And that creates an interesting paradox.

The more efficient digital commerce becomes, the more valuable physical presence may become in the moments when people still want judgment, reassurance, discovery, or sensory confirmation.

Routine transactions will continue migrating online.

Physical retail will increasingly concentrate on the moments where presence actually adds value.

That is not the store’s decline. It is specialization.

What Retailers Are Actually Looking For

We can already see this transition in the conversations retailers themselves are initiating.

Ahead of WORLDEF Prime Antalya, which will bring the retail and E-commerce ecosystem together on December 8–10, participating Hosted Retailers have been asked to identify the solutions and capabilities they are actively looking for before arriving.

The pattern is revealing.

Among the verified Hosted Retailer applications, 62% are looking for data, analytics, and AI solutions, 60% for commerce platforms, 45% for marketing solutions, 36% for web and mobile experience technologies, and 28% for CRM and customer-experience solutions. The participants also span logistics and fulfillment, digital product, technology infrastructure, and other functions that increasingly connect physical and digital retail.

To me, this is more interesting than simply saying retailers are “investing in digital.”

What they are really trying to build is an operating system in which channels no longer function independently.

That is also why the Hosted Retailers format at WORLDEF Prime Antalya is structured around declared business needs rather than random networking. Retail decision-makers specify their priorities in advance, and meetings are matched to actual requirements and relevant solutions.

The important point is not the event itself.

It is what these requirements tell us about where retail is going.

Retailers are no longer asking whether they should be physical or digital. They are trying to understand how AI, data, fulfilment, commerce technology and stores fit into one customer journey.

There Is Only Commerce

The biggest challenge may therefore no longer be technological.

Most large retailers already have websites, apps, CRM systems, digital payments and increasingly advanced logistics.

The deeper challenge is organizational.

If physical teams are rewarded for store revenue while digital teams are rewarded for online revenue, both sides will naturally defend their channels.

Research instead suggests evaluating performance through total net revenue, customer acquisition, purchase frequency, retention and returns across the whole customer relationship.

This is where retail needs to go next.

We should stop talking about E-commerce and physical retail as two competing worlds.

There is only commerce. The customer has already understood this. Retail organizations are the ones still catching up.

The winners of the next decade will not necessarily be those with the most stores or even those with the strongest E-commerce platforms.

They will be the companies that understand when digital convenience creates value, when physical presence creates value and how to connect the two without caring which channel receives credit for the transaction.

The store is not dead.

It simply has a much more demanding job description now.

Arab Digital Transformation Accelerates as AI Reshapes Regional Economy

Arab Digital Transformation

Arab League officials and digital economy leaders discussed AI preparedness, cross-border digital integration and investment initiatives aimed at turning technology adoption into measurable economic growth.

Arab digital transformation is entering a more ambitious phase as regional institutions look to artificial intelligence, data, digital trade and technology investment to strengthen economic growth and competitiveness.

Senior representatives of the League of Arab States and the Arab Federation for Digital Economy met in Cairo to discuss how Arab economies can respond to the rapid technological changes being driven by artificial intelligence and other emerging technologies.

The discussions focused on the implications of AI for investment, technology production, the data economy, human capital and the future of regional economic cooperation.

Participants also stressed that the next stage of Arab digital transformation should focus less on broad strategies and more on practical projects that deliver measurable economic and social results.

AI Creates New Priorities for Arab Digital Transformation

Artificial intelligence is expected to reshape labor markets, education, production, services, trade and investment across the Arab region.

The meeting examined how governments can prepare for these changes while ensuring that technological transformation contributes directly to economic development.

One of the central themes was the need to connect digital strategy with implementation.

Regional officials discussed more effective models for joint Arab action that combine policy, investment, technology projects and international partnerships.

The objective is to translate individual countries’ digital priorities into initiatives that can be implemented, measured and potentially scaled across the region.

This approach could become increasingly important as governments attempt to balance investment in emerging technologies with challenges surrounding skills development, regulation and access to capital.

Arab Digital Economy Vision Remains Central

Dr. Ali Mohammed Al Khouri, Chairman of the Board of Directors of the Arab Federation for Digital Economy, presented the Federation’s work across digital economy development, investment, education, food security, and international cooperation.

He also reviewed the Arab Digital Economy Vision, an initiative developed with support from the United Arab Emirates.

The strategy is intended to help Arab economies strengthen their ability to benefit from digital transformation, technology, and data.

The initiative has developed into a broader regional framework and has been adopted at the Arab Summit level.

Its priorities include improving digital infrastructure, strengthening digital capabilities, and creating economic environments that allow technology to generate greater value.

Digital Economy Index Measures Regional Progress

The meeting also discussed the Arab Digital Economy Index, which has been developed to measure the performance of Arab countries across different areas of the digital economy.

The index is designed to identify gaps, priorities, and areas where additional government or private-sector investment may be required.

Such measurement tools could become increasingly important as policymakers seek to understand why some countries can generate greater economic value from digital technologies than others.

Rather than focusing solely on technology adoption, governments are increasingly looking at indicators such as digital skills, investment capacity, business participation, and economic outcomes.

This shift could help Arab digital transformation strategies become more targeted and measurable.

Madar Platform Targets Digital Investment

Another initiative discussed during the meeting was Madar – Arab Platform for Digital Projects.

The platform aims to showcase investment opportunities and development projects across Arab countries while connecting them with companies, investors and international institutions.

Its broader objective is to attract capital, technology, and international expertise to projects identified as priorities by individual Arab economies.

The Federation is also seeking to use its international partnerships to create new channels between Arab countries and global investors, technology companies and markets.

This includes developing financing and partnership models that encourage greater participation from both foreign investors and the private sector.

Cross-Border Digital Integration Takes Priority

Interoperability between Arab digital systems and platforms was another major topic.

Participants discussed the importance of enabling digital infrastructure across countries to communicate more effectively.

Greater interoperability could support cross-border data exchange, digital services and regional trade.

It could also reduce friction for businesses operating across multiple Arab markets.

For E-commerce companies in particular, stronger regional digital integration could improve digital payments, logistics, identity verification, customs procedures, and cross-border services.

The Arab region currently consists of multiple markets with different regulations, digital infrastructures and levels of technological development.

Improved interoperability could therefore become an important component of deeper regional economic integration.

Skills Development Will Be Critical

Technology infrastructure alone will not determine whether Arab economies benefit from the AI era.

Digital education and workforce development were also identified as important priorities.

The Arab Federation for Digital Economy is developing education and training initiatives intended to connect digital skills more closely with labour market requirements.

As AI adoption expands, this issue is expected to become increasingly urgent.

Companies will require employees capable not only of using new technologies but also of integrating them into business operations, decision-making and customer services.

Governments will also face pressure to adapt education systems as demand changes for different technical and professional skills.

Digital Projects Must Produce Measurable Value

A recurring theme throughout the discussions was the need to move from strategy to implementation.

Al Khouri said the coming period should focus on converting existing visions and initiatives into practical projects and partnerships.

The emphasis is increasingly on linking the digital economy directly to growth, development, and economic value creation.

Professor Dr. Ahmed Mustafa Al-Sherbini, Secretary-General of the Arab Federation for Digital Economy, similarly highlighted the importance of turning the Federation’s projects into programs that can be expanded across the region.

The success of digital initiatives, he said, ultimately depends on whether they produce measurable economic and social outcomes.

Arab Digital Transformation Enters the AI Era

The rapid development of artificial intelligence is changing the definition of digital readiness.

For Arab economies, simply expanding connectivity or increasing technology adoption may no longer be enough.

Countries will increasingly need to demonstrate that digital investment improves productivity, supports businesses, strengthens trade and creates new economic opportunities.

Collaboration between governments, businesses and international institutions could therefore become one of the defining elements of the next stage of Arab digital transformation.

The region’s challenge will be to translate ambitious digital strategies into scalable projects that deliver tangible economic results.

As artificial intelligence reshapes the global economy, the ability of Arab countries to integrate technology, skills, investment and regional cooperation will play an increasingly important role in determining their competitiveness.

Amazon Plans Major Texas Data Center Campus to Power AI Growth

Amazon Plans Major Texas Data Center Campus to Power AI Growth

Amazon is planning a major new data center campus in Pecos County, Texas, as the technology giant expands infrastructure to support growing demand for artificial intelligence and cloud computing.

According to Amazon, the planned campus will initially be powered by new on-site generation rather than relying entirely on the Texas electricity grid. The company says the facility is designed to transition to grid-connected service as interconnection timelines allow, while it also explores solar energy and battery storage opportunities on site.

New Infrastructure for Growing AI Demand

The project highlights one of the biggest challenges facing the technology sector: securing enough electricity to support increasingly energy-intensive AI workloads.

Amazon says the Pecos County campus represents a long-term investment and is expected to create thousands of new jobs in the region. The company is also positioning the project around resource efficiency, particularly in an area where water availability is an important consideration.

To reduce pressure on local water resources, Amazon says it plans to use water that is not suitable for drinking or irrigation. The company will also deploy custom cooling technology designed to minimize water consumption and explore the use of produced water as another non-potable source.

Energy Challenges Raise Questions

The project is also attracting scrutiny over its energy strategy. Recent reports indicate that the planned on-site natural-gas generation could reach 7.65 gigawatts, with the facility potentially becoming one of the largest sources of carbon emissions in the U.S. if operated at its permitted capacity.

This creates a broader tension for the technology industry: companies are racing to build AI infrastructure while simultaneously facing increasing pressure to reduce emissions, water consumption and their impact on local energy systems.

Amazon maintains that the Pecos County campus will pay the full costs of powering its operations and says its approach is designed not to increase electricity costs for Texas households.

The development reflects a wider shift in the data center industry, where access to reliable power is increasingly becoming as important as access to land and connectivity. As AI adoption accelerates, the ability to secure large-scale energy supplies could become a defining factor in where the next generation of digital infrastructure is built.

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Turkish AI Researcher Koray Kavukcuoglu Takes on Expanded Leadership Role at Google

Turkish AI Researcher Koray Kavukcuoglu Takes on Expanded Leadership Role at Google

Google has elevated Turkish AI researcher Koray Kavukcuoglu to a broader leadership position, placing him at the center of the company’s efforts to accelerate artificial intelligence innovation and product integration.

Google has announced a major leadership update within its AI organization, appointing Koray Kavukcuoglu as Senior Vice President and Chief AI Architect while he continues serving as Chief Technology Officer of Google DeepMind. In his expanded role, Kavukcuoglu will oversee the day-to-day execution of Google’s AI strategy and help bring the company’s latest AI models into products more quickly and efficiently. 

The appointment comes as Google reshapes its AI leadership. DeepMind CEO Demis Hassabis will transition to the newly created role of Alphabet’s Chief Scientist and Chairman of Google DeepMind, focusing on long-term artificial general intelligence (AGI) research and scientific strategy. Kavukcuoglu will take on greater operational responsibility, reporting directly to CEO Sundar Pichai on AI product execution while continuing his leadership at DeepMind. 

A Turkish Engineer at the Forefront of AI

Born in Türkiye, Koray Kavukcuoglu earned bachelor’s and master’s degrees in Aerospace Engineering from Middle East Technical University (METU) before completing both a master’s degree and PhD in Computer Science at New York University, where he worked under renowned AI pioneer Yann LeCun. 

Since joining DeepMind in 2012, Kavukcuoglu has played a key role in advancing deep learning research. He has led teams behind several breakthrough technologies, including DQN, IMPALA, and WaveNet, innovations that have significantly influenced modern artificial intelligence and speech technologies. 

Strengthening Google’s AI Product Strategy

Google says Kavukcuoglu’s expanded responsibilities are aimed at accelerating the integration of its cutting-edge AI models across consumer and enterprise products. His appointment reflects the company’s growing focus on transforming advanced AI research into widely deployed technologies as competition intensifies across the global AI landscape. 

The leadership change underscores the increasing influence of Turkish talent in global technology and positions Koray Kavukcuoglu among the most prominent AI executives shaping the future of artificial intelligence.

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Amazon Business Surpasses $60 Billion in Annualized Sales, Accelerates AI-Driven B2B Procurement

Amazon Business Surpasses $60 Billion in Annualized Sales, Accelerates AI-Driven B2B Procurement

Amazon Business has reached a major milestone, surpassing $60 billion in annualized gross sales while serving more than 11 million organizations worldwide. The achievement reflects the platform’s rapid expansion and the growing demand for digital procurement solutions across enterprises, governments, healthcare organizations, and educational institutions.

More than 1.8 million new organizations joined Amazon Business during the first half of 2026, reinforcing the company’s position as one of the world’s largest B2B e-commerce platforms. The continued growth demonstrates how businesses are increasingly shifting procurement operations to digital marketplaces that offer greater efficiency, pricing transparency, and supply chain flexibility.

Agentic AI Reshapes Enterprise Purchasing

Amazon is complementing its marketplace growth with a new generation of AI-powered procurement capabilitiesdesigned to simplify purchasing decisions. The company is introducing intelligent tools that help procurement teams identify cost-saving opportunities, detect unusual spending patterns, recommend relevant products, and automate routine purchasing tasks.

These innovations are part of a broader industry shift toward agentic AI, where autonomous AI systems assist buyers throughout the procurement lifecycle. Rather than relying solely on manual searches, businesses can leverage AI agents to evaluate suppliers, compare products, optimize purchasing decisions, and streamline procurement workflows.

A Growing Global B2B Marketplace

Amazon Business now supports organizations across 11 international markets, offering access to millions of products from third-party sellers alongside Amazon’s own inventory. Customers benefit from business-only pricing, quantity discounts, enhanced Prime Business services, tax-exempt purchasing options, and enterprise-grade procurement integrations.

The platform continues to expand its logistics capabilities, enabling faster commercial deliveries and helping organizations manage procurement more efficiently across multiple departments and locations.

The Future of B2B Commerce Is AI-Driven

Industry analysts believe AI will fundamentally transform enterprise purchasing over the coming years. As intelligent procurement assistants become more capable of managing sourcing, budgeting, compliance, and purchasing decisions, businesses are expected to reduce manual processes while improving operational efficiency and cost control.

Amazon’s combination of marketplace scale, advanced logistics infrastructure, and AI-powered procurement tools positions the company to play a leading role in the next phase of digital B2B commerce.

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NeoFashion.ai Unveils AI Photography Platform to Help Fashion Brands Scale Visual Content

NeoFashion.ai Unveils AI Photography Platform to Help Fashion Brands Scale Visual Content

New Platform Enables Fashion Labels to Generate Brand-Consistent AI Imagery

NeoFashion.ai has officially launched its AI-powered photography platform, introducing a solution designed specifically for fashion brands seeking to accelerate content production while maintaining a consistent visual identity. The platform enables retailers, designers, and e-commerce businesses to create high-quality product photography, campaign visuals, and marketing assets using artificial intelligence tailored to each brand’s unique style. 

Unlike general-purpose AI image generators, NeoFashion.ai focuses on preserving the creative identity of fashion labels. The platform analyzes a brand’s existing visual assets-including product images, campaigns, styling preferences, and creative references-to develop a customized AI model capable of producing imagery aligned with the brand’s established aesthetic. 

Personalized AI Models for Fashion Brands

The company says its technology is built around the concept of “Brand DNA,” allowing fashion businesses to generate images that reflect their signature look rather than generic AI-generated visuals. By learning details such as garment presentation, lighting preferences, model styling, color palettes, and editorial direction, the platform aims to deliver outputs that remain visually consistent across marketing channels.

Brands begin by uploading reference materials and product assets. The AI then creates a customized model that teams can use to generate product photography, campaign imagery, lifestyle visuals, and promotional content through simple text prompts. 

Faster Content Creation for E-Commerce Teams

NeoFashion.ai is designed to streamline the content production process for fashion retailers managing large product catalogs and frequent collection launches. Traditional fashion photography often requires extensive planning, studio bookings, photographers, models, and post-production, while AI-generated workflows can significantly reduce production timelines.

The platform enables creative, marketing, and e-commerce teams to produce new visual assets more quickly, helping brands respond faster to seasonal campaigns, product launches, and evolving consumer trends without compromising visual consistency. 

Supporting Modern Fashion Marketing

As AI adoption continues to grow across the retail and fashion industries, brands are increasingly exploring technology that enhances efficiency while protecting their creative identity. NeoFashion.ai positions its platform as a specialized solution built exclusively for fashion businesses, offering AI-generated product photography, campaign images, and video content that remain aligned with each brand’s established style.

The launch reflects the growing demand for AI-powered creative tools that support scalable content production while giving fashion companies greater control over how their products and brand image are presented across digital commerce channels.

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Google Tools Generated AED 21.8 Billion in UAE Economic Activity, New Report Finds

Google Tools Generated AED 21.8 Billion in UAE Economic Activity, New Report Finds

Google’s ecosystem of products and services generated an estimated AED 21.8 billion in economic activity across the United Arab Emirates in 2024, according to a new study by research consultancy Public First. The findings highlight the expanding role of Google’s digital platforms and AI-powered technologies in supporting businesses, entrepreneurs, developers and content creators throughout the country. 

The report estimates that Google Search, Google Ads, YouTube, Google Cloud and Google Play collectively contributed economic value equivalent to around 1% of the UAE’s GDP, demonstrating how digital technologies have become an increasingly important pillar of the nation’s non-oil economy. 

AI Adoption Accelerates Across UAE Businesses

The study found that 91% of UAE businesses already use at least one artificial intelligence tool in their operations, while 87% believe AI represents a significant economic opportunity. Businesses are increasingly deploying AI to improve productivity, automate repetitive tasks, enhance customer service and streamline decision-making. 

Google said its AI portfolio, including Gemini and AI-powered capabilities across Search, Workspace and Cloud, is helping organisations work more efficiently while enabling businesses of all sizes to reach customers through digital channels. 

SMEs and Digital Creators Benefit

Small and medium-sized enterprises continue to be among the biggest beneficiaries of Google’s ecosystem. Search and Google Ads help companies attract new customers, while YouTube provides creators with monetisation opportunities and broader audience reach. Developers also benefit from Google Play, which supports app distribution and digital entrepreneurship. 

The report also highlights Google’s long-term investment in digital skills across the region. Since 2018, the company’s training initiatives have reached more than 430,000 people in the UAE, helping professionals and entrepreneurs build digital marketing and AI capabilities. 

Supporting the UAE’s Digital Economy Vision

The findings align with the UAE’s broader strategy to position itself as a global leader in artificial intelligence and digital innovation. Government initiatives promoting AI adoption, cloud computing and digital infrastructure have encouraged businesses to embrace emerging technologies at an accelerated pace. 

As AI adoption continues to grow across sectors, Google expects its products and services to play an increasingly important role in supporting productivity, innovation and long-term economic diversification in the UAE.

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Turkish Founders’ Munich-Based 5U AI Raises $3.2 Million in Pre-Seed Funding

Turkish Founders' Munich-Based 5U AI Raises $3.2 Million in Pre-Seed Funding

Munich-based logistics technology startup 5U AI, founded by Turkish entrepreneurs Yağız Abik and Fehmi Şener, has raised $3.2 million in an oversubscribed pre-seed funding round to accelerate the development of AI-powered digital workers for the freight forwarding industry.

The funding round was led by Emerge Capital and attracted participation from logistics executives and angel investors with backgrounds at DHL, DSV, GEODIS, Maersk, and CEVA Logistics. The company will use the fresh capital to expand its AI platform, strengthen its engineering and commercial teams, and accelerate its expansion across the European logistics market.

Funding to Accelerate AI Adoption in Logistics

The investment comes at a time when freight forwarders are increasingly adopting artificial intelligence to automate labour-intensive processes and improve operational efficiency. As global supply chains become more complex, logistics companies are looking for AI solutions that can reduce manual workloads while enhancing speed and accuracy.

With the new funding, 5U AI plans to further develop its platform, expand multilingual capabilities, and support more logistics providers across Europe.

AI Workers for Freight Forwarders

Founded in 2025 by graduates of the Technical University of Munich (TUM), 5U AI develops AI-powered digital workers designed specifically for freight forwarders, carriers, and third-party logistics (3PL) providers.

Rather than replacing existing transport management systems, the platform integrates with current workflows to automate repetitive operational tasks, including quotation management, shipment bookings, cargo tracking, document processing, invoice reconciliation, and customer communications.

By taking over routine administrative work, the AI Workers enable logistics professionals to focus on customer relationships, operational planning, and business growth.

Transparent Decision-Making

A key differentiator of the platform is its proprietary Context Layer, which records how AI agents make operational decisions. This creates a transparent audit trail, allowing companies to review every action performed by the AI while preserving valuable operational knowledge.

According to the company, this approach transforms AI from a simple assistant into a digital workforce capable of executing complete logistics workflows with traceable decision-making.

Expanding Across Europe

The company is already working with logistics providers across Europe, including TCI International Logistics, where its AI Workers are supporting air and ocean freight operations.

Following the investment, 5U AI plans to expand its product, engineering, sales, and customer success teams while increasing its presence in key European logistics markets.

Growing Investor Interest in Logistics AI

The successful funding round highlights growing investor confidence in specialised AI solutions for the logistics industry, where many operational processes continue to rely on emails, spreadsheets, and manual data entry.

As freight forwarders seek greater efficiency and scalability, startups like 5U AI are attracting increasing attention by delivering automation that complements human expertise rather than replacing it.

With fresh funding and strong backing from experienced logistics investors, the Munich-based startup aims to help freight companies modernise operations and build more efficient, data-driven supply chains.

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