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The 256GB iPhone 18 Pro was listed on Pinduoduo at 9,099 yuan on Monday after platform and store incentives, compared with Apple’s official mainland China price of 9,999 yuan. The reduction is being funded through retailer subsidies and coupons rather than an official Apple price cut.

Pinduoduo’s offer combined a subsidised platform price with a 600-yuan store coupon, bringing the checkout cost to 9,099 yuan for eligible buyers. The listing indicated tens of thousands of orders and promised delivery by September 27, although availability and coupon access could change as the promotion continued.

Apple’s own online store and official channels continued to show the iPhone 18 Pro at the full 9,999-yuan starting price. Apple’s flagship store on Tmall was also focused on interest-free instalments rather than a direct reduction, while some other sellers were offering smaller incentives or trade-in-linked benefits.

Prices elsewhere were less aggressive. JD continued to display the 256GB model at 9,999 yuan when checked on Monday, while some Taobao offers relied on operator benefits, renewal subsidies or trade-in incentives. The variation showed that the headline reduction was not a uniform market-wide repricing of Apple’s newest Pro handset.

The early discount comes after Apple opened pre-orders in mainland China at 8pm on September 12. The iPhone 18 Pro and iPhone 18 Pro Max are due to go on general sale on September 18, placing the retailer promotion several days ahead of the formal release.

Demand signals were mixed across sales channels. Several configurations became harder to obtain shortly after pre-orders opened, with delivery estimates for some iPhone 18 Pro and Pro Max variants moving into late September or early October. That makes the appearance of a 900-yuan discount notable, but it does not by itself establish weak demand for the range.

Apple priced the iPhone 18 Pro from 9,999 yuan in China, while the iPhone 18 Pro Max starts at 10,999 yuan. Both models begin with 256GB of storage and are offered in 512GB, 1TB and 2TB versions. Apple is selling the phones in black, silver, glacier blue and burgundy.

The company unveiled the Pro models on September 9, introducing its A20 Pro processor and a 48-megapixel Fusion main camera with variable aperture. Apple has also highlighted improved battery life, upgraded on-device artificial intelligence performance and changes to the camera system as central features of the new generation.

The pricing move underscores the intensity of competition among China’s major e-commerce platforms during high-profile smartphone launches. Retailers commonly use flagship electronics to attract traffic, deploying platform subsidies, limited-time coupons and payment incentives that can push transaction prices below manufacturers’ official levels without altering the recommended retail price.

A similar pattern has appeared around earlier iPhone launches, when large platforms subsidised new models soon after pre-orders or sales began. Such promotions can narrow the gap between Apple’s premium positioning and the prices of competing high-end phones, while also giving platforms a way to compete for customers during launch periods.

The structure of Monday’s offer is therefore important. Buyers were not receiving a 900-yuan reduction directly from Apple. The lower price depended on incentives available through the retailer, and the final amount could vary according to coupon eligibility, payment method, membership status and stock.

Apple separately offers trade-in credits in China for customers exchanging eligible older iPhones. Its official programme provides credits ranging from 900 yuan to 8,300 yuan for qualifying devices, but those values depend on the model and condition of the handset being traded and are distinct from the retailer discount on a new iPhone 18 Pro.

As AI cuts production costs and multiplies the output of small agency teams, a new model is emerging in Singapore: revenue-sharing, where the agency earns only when the client sells.

SINGAPORE – Media OutReach Newswire – 14 September 2026 – For decades, the marketing agency business model has rested on one assumption: producing campaigns is expensive, so clients must pay fixed monthly retainers regardless of results. Artificial intelligence is dismantling that assumption from two directions at once — cutting what it costs an agency to operate, while multiplying what a small team can produce.

The savings start in places clients never see. Administrative work that once consumed billable hours — invoicing and quotations, client reporting, campaign documentation, scheduling and follow-ups — can now run largely on AI systems, stripping overhead out of every account an agency manages.

The bigger shift is in production itself. In video, AI now handles the foundation of the edit — assembling rough cuts, syncing footage, generating captions and preparing ad-ready variations — before a human editor applies the judgment, pacing and finishing that machines can’t. What once took an editor days takes hours. The same applies to design and ad creatives. The result: a small team’s production capacity multiplies while its cost per campaign falls.

That double effect — lower cost, higher capacity — changes what an agency can afford to offer. When servicing an account no longer carries heavy fixed costs, those economics can be passed on to the customer: instead of a large retainer that pays for activity, the agency can charge a minimal base fee and earn its real income as a share of the sales its campaigns generate.

Singapore agency touchmkt has built its business on this model, charging SME clients a low base retainer that roughly covers production, then earning 5–9% of the revenue attributed to its campaigns — tracked through conversion tools that tie each sale back to the ads that produced it.

“The economics simply didn’t work before,” said Charlie Tan, founder of touchmkt. “If every account carries thousands of dollars in production and admin costs, you have to charge for it whether the campaigns perform or not. When AI takes out the cost and multiplies the output, you can afford to be paid on outcomes. For the first time, the agency’s goals and the client’s goals are actually aligned — we only do well when they sell.”

The model does demand discipline: rigorous attribution, and the agency absorbing the risk of campaigns that underperform. But for small businesses long wary of paying retainers for activity rather than results, the direction is clear — AI hasn’t just changed how marketing is made; it’s beginning to change how it’s paid for.

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The issuer is solely responsible for the content of this announcement.

Touchmarket LLP

touchmkt (TouchMarket LLP) is a Singapore-based growth agency for small and medium businesses, combining on-site videography and photography with AI-assisted content production and performance advertising. The agency builds websites, produces short-form video and branded social content, and manages Meta and Google ad campaigns with full conversion tracking — operating on a performance-based model in which its fees are tied to the sales revenue its campaigns generate. touchmkt works with clients across F&B and catering, education, beauty and skincare, renovation and home services, and professional services in Singapore. Learn more at touchmkt.com or contact biz@touchmkt.com.

The regulator said the work will focus on creating clearer rules for datasets used by embodied AI systems, which combine artificial intelligence with physical machines such as humanoid robots. The effort is intended to support more consistent data collection, processing, evaluation and use as companies race to improve machines that must perceive, reason and act in real-world environments.

China has already moved to build a broader standards framework around the sector. National standards published on August 27 cover the quality of real-world embodied-intelligence data and technical requirements for data-generation platforms, while several additional specifications remain under development.

Among projects overseen by the National Data Administration are proposed standards covering the sources and constituent elements of high-quality embodied-intelligence datasets, simulated synthetic-data generation and processing, and specifications for data collection and model training at training bases. The projects are being developed under the National Data Standardisation Technical Committee.

One draft programme, registered in April, sets a 12-month timetable for a standard on data collection and model training at embodied-intelligence training bases. Its drafting group includes the China Electronics Standardization Institute, Beijing Institute of Technology, the Institute of Software at the Chinese Academy of Sciences and robotics companies.

A separate draft addresses synthetic data, which is becoming increasingly important because collecting enough physical-world robot interactions can be expensive, slow and difficult to reproduce. China’s policy framework encourages the use of simulation and synthetic techniques to expand supply where genuine operating data are scarce or costly to obtain.

The National Data Administration has made high-quality datasets a central part of its wider artificial-intelligence strategy. An implementation plan issued in June called for faster construction of datasets in strategic and emerging fields including embodied intelligence, intelligent driving and the low-altitude economy. It also called for data covering physical interaction, environmental perception and motion control in key scenarios.

The plan directs authorities and industry participants to improve data cleaning, enhancement, labelling, alignment and quality inspection, while developing national standards covering formats, categories, annotation and quality assessment. The regulator said such work should produce datasets that are structurally complete, diverse, accurately labelled and suitable for model development.

China’s push reflects the distinct data demands of robots operating in the physical world. Unlike text-based systems trained largely on digital information, embodied AI requires large volumes of multimodal material that can include video, images, sensor readings, point clouds, movement trajectories and feedback from physical interaction.

Data supply has therefore emerged as a competitive constraint for developers seeking to train machines to perform long sequences of actions reliably across changing environments. The National Data Development Research Institute has said embodied intelligence and world models are driving sharply higher demand for three-dimensional, video and other multimodal data, while also raising requirements for collection and annotation quality.

The government has also been expanding the underlying pool of AI-ready datasets. At a national data industry event in Guiyang in August, the National Data Administration said more than 126,000 high-quality datasets had been built across China, with a combined volume exceeding 1,815 petabytes.

Officials described a system combining a national dataset management platform, an open-source community and a data-labelling network with sector-specific pilot programmes. The framework includes 106 leading organisations and 140 pilot tasks, with regional authorities encouraged to develop projects suited to local industrial strengths.

Embodied intelligence has featured in those pilots alongside other emerging fields. The administration has promoted cooperation among robotics companies, universities, research institutes and public bodies to increase the quantity and usefulness of machine-training data while testing standards before wider application.

The robot has begun operating at Kalangan, the art museum inside the Domestic Security Hold Area, marking the first phase of a wider plan to introduce robotic assistance across the airport. CIAL Managing Director S. Suhas inaugurated the service, which is intended to give passengers access to travel information while they move through the terminal.

Passengers can interact with the robot to check flight schedules, gate numbers and CIAL services. It can provide directions to boarding gates and other airport facilities, helping travellers locate destinations without having to rely solely on static signs or information counters.

CIAL has also given the robot a cultural role. At Kalangan, it can explain Kerala art forms including Kathakali and Ottanthullal and provide information about sculptures and artworks displayed in the museum. The robot can guide passengers towards relevant exhibits, linking travel assistance with the airport’s cultural displays.

The airport operator said passenger assistance robots will be deployed in check-in halls during the next phase of the programme. CIAL is also examining the use of delivery robots capable of carrying food and other products directly to passengers waiting inside the terminal, though no timetable has been announced for that service.

Pune-based Kinetics Robotics developed the passenger assistance robot for CIAL. Executive Director Santhosh Poovattil, Head of Commercial Manoj P. Joseph and Kinetics Robotics representative Jignesh Nair were among those present when the service was launched.

The project adds another automated passenger-facing service to CIAL’s broader digital upgrade. The airport last year outlined a Rs 200-crore digital transformation programme, CIAL 2.0, covering operational systems, artificial intelligence, automation and cybersecurity. That programme included upgraded flight information and announcement systems, common-use passenger processing infrastructure and other technology intended to improve airport operations and passenger convenience.

CIAL 2.0 also identified facial-recognition check-in, artificial intelligence-based baggage tracking, lost-item tracking, prepaid cab booking kiosks and DigiYatra integration among its digital services. The passenger assistance robot extends that technology drive into a visible, interactive role inside the terminal rather than keeping automation largely behind the scenes.

For passengers, the robot’s main practical value is immediate access to frequently requested information. Flight updates and gate directions can change during the course of a journey, and an interactive unit positioned within the secure area can supplement display boards and staffed help points. Its deployment at Kalangan also allows CIAL to test passenger interaction with the technology in a controlled setting before placing more robots in busier check-in areas.

The cultural information function gives the device a second purpose beyond navigation. Travellers passing through the museum can request explanations of traditional performances and displayed works rather than using the robot only for airport queries. CIAL has presented that combination as part of its effort to improve passenger convenience while drawing attention to Kerala’s cultural heritage.

The first deployment remains limited to the domestic security hold area, and CIAL has not disclosed how many passenger assistance robots will be added in the next stage. The airport operator has also not announced technical details such as supported languages, operating hours, mobility range or whether future units will have additional functions.

Kalangan serves as the initial location because it combines passenger circulation with exhibits that require both directional and informational support. The robot can therefore handle airport questions while directing visitors towards artworks and explaining selected cultural forms.

CIAL’s move comes as airports increasingly use self-service and automated systems for routine passenger interactions, particularly for check-in, baggage processing, navigation and information delivery. At Kochi, the next expansion will move the assistance robots from the museum setting into check-in halls, where passenger volumes and the range of queries are likely to be greater.

The product, unveiled at Global Fintech Fest 2026, combines machine-learning risk assessment, dynamic authentication and protection against eligible fraud chargebacks. PayU said the system evaluates cross-border card payments using transaction and behavioural signals, then determines how much authentication each payment requires.

Low-risk transactions can pass with less friction, while payments assessed as higher risk are routed through stronger authentication checks. The approach is intended to address a persistent problem in online commerce: controls that are too strict can reject legitimate customers, while weaker screening can expose merchants to fraud and chargeback losses.

PayU said merchants using the technology have recorded an improvement of about 4% to 5% in international card payment success rates while reducing fraud exposure. The figures are company data and were not independently audited in the announcement.

One online travel merchant using Fraud Liability Protect achieved a 14% rise in payment success rates and an 83% reduction in its fraud-to-sales ratio, according to PayU. The company did not identify that merchant or disclose the transaction volume, testing period or baseline behind those percentages.

Manas Mishra, chief product officer at PayU and Wibmo, said fraud controls should not undermine payment acceptance as merchants expand across markets. He said the product was designed to distinguish genuine and risky international transactions and to protect businesses against both human-initiated and AI-enabled fraud.

The liability element is significant because chargebacks can transfer the financial cost of disputed card transactions back to merchants. PayU’s own documentation describes a chargeback as a transaction reversal following a successful customer dispute. Under its fraud-liability programme, cases classified as covered fraud can be closed with PayU bearing the chargeback amount, subject to applicable terms and eligibility.

Fraud Liability Protect is integrated with PayU Checkout and is being positioned mainly for small and medium-sized businesses in travel, online travel agencies, airlines, e-commerce, quick commerce and food technology. These sectors can face direct revenue pressure when overseas cards are declined or fraudulent transactions later result in disputes.

Zomato is among the businesses using the service, PayU said. The food delivery platform is applying the system to international card transactions so lower-risk payments can proceed with fewer obstacles while higher-risk transactions remain subject to additional controls.

The product also seeks to reduce so-called false positives, where legitimate purchases are blocked because conventional controls treat them as suspicious. That can be especially costly for merchants serving customers abroad, where differences in card issuance, geography and spending behaviour may raise risk scores even when a transaction is genuine during automated screening.

The launch comes as payment providers increasingly use machine learning to balance fraud prevention with checkout conversion. Card-not-present payments create particular challenges because merchants cannot physically verify the card or cardholder, making transaction data, device information, behaviour patterns and authentication signals more important to risk decisions.

PayU already uses automated risk controls across its payment infrastructure. Its published security material says machine-learning models and real-time monitoring are used to identify potentially fraudulent transactions and abnormal patterns. The new service extends that approach by linking risk scoring directly with variable authentication and an explicit chargeback-protection layer for qualifying international card transactions.

PayU’s international payment gateway supports cards issued overseas and allows merchants to offer multiple currencies, while settlement to participating merchants is made in rupees under its terms. The company also offers 3-D Secure-based controls for international card processing, which are designed to add cardholder authentication when required.

The distinction between authentication and liability remains important. A transaction that passes authentication is not automatically immune from every dispute, and chargeback outcomes depend on card-network rules, reason codes and the conditions attached to the merchant’s payment arrangement. PayU’s documentation requires merchants to respond to chargeback notices within specified deadlines where a dispute requires documentation.

Addressing the BRICS Business Forum in New Delhi, Goyal said greater connectivity between national payment networks, including systems modelled on India’s Unified Payments Interface, could lower friction in cross-border commerce while supporting wider use of members’ own currencies.

His proposals were aligned with the economic agenda carried into the BRICS summit, where leaders backed further work on facilitating trade and investment settlements in local currencies and improving interoperability between payment systems. The approach stops short of creating a common BRICS currency and instead focuses on practical links between existing financial infrastructures.

BRICS leaders encouraged the New Development Bank to expand local-currency financing and diversify its funding base, complementing efforts to make cross-border payments faster, cheaper and safer. Officials have stressed that the objective is not a single currency, but greater use of national currencies where commercially practical and mutually agreed.

Goyal said UPI now handles more than 250 billion transactions annually and is accepted in 11 countries. He urged BRICS economies to explore linking their payment networks, promote trade in each other’s currencies and expand digital commerce alongside cooperation in emerging technologies.

The minister coupled the payments proposal with a call for easier market access. He said BRICS economies should open their markets to one another’s products, including raw materials and critical minerals, while simplifying regulatory procedures and accelerating the clearance of consignments.

Goyal argued that resilient supply chains required two-way trade rather than dependence on one-sided flows. He said non-tariff measures impose higher export costs than tariffs in 88 per cent of countries, making regulatory obstacles and customs delays a central concern for companies seeking to trade across BRICS markets.

The push comes as intra-BRICS commerce has expanded sharply. Commerce Secretary Rajesh Agrawal said trade among BRICS countries rose from $84 billion in 2003 to nearly $1.2 trillion in 2024, underscoring both the scale of the bloc’s market and the potential gains from reducing transaction and financing costs.

Agrawal also highlighted the global trade-finance gap, estimated at about $2.5 trillion, and said BRICS should improve access to affordable working capital for exporters. The Jaipur Consensus, agreed by BRICS trade ministers in August, provides a basis for examining a common mechanism to help smaller businesses obtain finance against confirmed orders and reliable payment records.

Trade ministers have also advanced a 2026-2030 action plan on global value chains, including BRICS Connect, business-to-business partnerships, digital trade documentation and possible platforms for strategic supply chains and investment promotion. These measures form part of a broader effort to make trade flows more diversified and less vulnerable to disruption.

Goyal identified agriculture, pharmaceuticals, engineering, electronics, automobiles, auto components and services as sectors with scope for deeper cooperation. He called for closer links between startup ecosystems and urged agri-tech companies to work jointly on solutions for farmers and food security.

Services trade was another priority. Goyal said BRICS members should make it easier for professionals to move across borders and work towards greater recognition of professional qualifications, arguing that services markets needed to become more genuinely accessible.

External Affairs Minister S. Jaishankar, speaking at the same forum, said supply-chain connectivity, trade facilitation and innovation had become central to BRICS cooperation. He also pointed to digital public infrastructure, artificial intelligence, financial technology and advanced manufacturing as areas offering opportunities alongside questions of standards, security and trust.

Russia’s Economic Development Minister Maxim Reshetnikov separately supported stronger alternative payment arrangements, saying the share of Russia’s export settlements conducted in dollars and euros had fallen sharply over the past three years. He also promoted work on a proposed BRICS grain exchange and closer cooperation among special economic zones.