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DEMAND FOR RAW MATERIALS AND SEMI-MANUFACTURED GOODS WEAKENED IN JULY, FALLING AT FASTEST RATE THIS YEAR, SIGNALLING SLOWING ECONOMIC GROWTH: GEP GLOBAL SUPPLY CHAIN VOLATILITY INDEX

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Worldwide supply chain spare capacity rises, adding to the calls for the Federal Reserve to lower interest rates soon. Asian factory demand at its weakest since December 2023, partly because of a notable decrease in purchasing by Chinese factories.Suppliers to North America report underutilized capacity, with Mexican manufacturers reporting lower input demand for the first time since October 2023.European market continues to struggle, with region’s manufacturing recession persisting.

CLARK, N.J., Aug. 12, 2024 /PRNewswire/ — In July, the GEP Global Supply Chain Volatility Index — a leading indicator tracking demand conditions, shortages, transportation costs, inventories and backlogs based on a monthly survey of 27,000 businesses — signaled underutilized capacity at global suppliers for the first time since April, falling to a four-month low.

The greatest level of slack in supply chains was in Europe, which continues to grapple with recession conditions in its manufacturing sector, especially in Germany. Asia growth also cooled as factory demand in the region contracted to its weakest since December 2023. Underlying data revealed a decrease in purchasing activity by Chinese factories — the first time this has occurred in nine months. Japan’s manufacturing sector was also a source of weakness.

Suppliers to North American companies reported slightly underutilized capacity during July, as was the case in June. Slowing purchasing activity was seen across all three countries within the region, with Canada reporting the steepest contraction. Notably, Mexican factories, which have been a driver of growth in the region this year, reported lower input demand for the first time since October 2023.

“In July, purchasing activity by global manufacturers declined, indicating that economic growth is slowing, adding to the calls for the Federal Reserve to lower interest rates sooner rather than later,” explained Mike Jette, vice president, consulting, GEP. “This is not alarming data. The world’s supply chains continue to operate efficiently, with no sign of stockpiling, shortages, or price pressures. But to head off any material slowdown in the second half of the year, manufacturers do need demand to increase.”

Interpreting the data:
Index > 0, supply chain capacity is being stretched. The further above 0, the more stretched supply chains are.
Index < 0, supply chain capacity is being underutilized. The further below 0, the more underutilized supply chains are.

JULY 2024 KEY FINDINGS

DEMAND: Having recovered in the first half of the year, global factory purchasing activity fell by the greatest margin since the end of 2023 in July, indicating renewed weakness in the world economy. Central to this decline was a fresh slowdown in Asia, driven by China and Japan. Europe’s manufacturing recession persisted, especially in Germany, where factory purchasing contracted sharply.

INVENTORIES: The inventory cycle has stabilized. While reports from global businesses of safety stockpiling due to price or supply concerns were below typical levels, the underlying indicator has generally trended in line with its long-term average so far this year.

MATERIAL SHORTAGES: Reports of item shortages fell slightly in July, down to their lowest level since January, signaling high stock levels at vendors of commodities and critical raw materials.

LABOR SHORTAGES: The supply of labor is not an inhibiting factor for global manufacturers, as reports of backlogs due to insufficient staffing capacity are at typical levels.

TRANSPORTATION: Although supply chain activity dipped in July, global transportation costs are at the highest in 21 months, largely driven by Asia.

REGIONAL SUPPLY CHAIN VOLATILITY

NORTH AMERICA: Index unchanged at -0.11, indicating slightly underutilized capacity across the region’s suppliers. Manufacturers in the U.S., Mexico and Canada all reported a softening of demand in July.

EUROPE: Index fell sharply to a three-month low of -0.49, down from -0.13. Europe’s manufacturing sector recession is persisting, with major economies, such as Germany, at the heart of the decline.

U.K.: Index dropped to 0.11, from 0.49 in June, but still signaling capacity pressures at the U.K.’s suppliers.

ASIA: Index slipped from June’s 16-month high of 0.35 to 0.07, its lowest since April. Demand for inputs at Asian factories was at its weakest this year, principally because of a softening in China and Japan.

For more information, visit www.gep.com/volatility.

Full historical data dating back to January 2005 is available for subscription. Please contact economics@spglobal.com.

The next release of the GEP Global Supply Chain Volatility Index will be 8 a.m. ET, September 11, 2024.

About the GEP Global Supply Chain Volatility Index

The GEP Global Supply Chain Volatility Index is produced by S&P Global and GEP. It is derived from S&P Global’s PMI® surveys, sent to companies in over 40 countries, totaling around 27,000 companies. The headline figure is a weighted sum of six sub-indices derived from PMI data, PMI Comments Trackers and PMI Commodity Price & Supply Indicators compiled by S&P Global. For more information about the methodology, click here.

About GEP

GEP® delivers AI-powered procurement and supply chain solutions that help global enterprises become more agile and resilient, operate more efficiently and effectively, gain competitive advantage, boost profitability and increase shareholder value. Fresh thinking, innovative products, unrivaled domain expertise, smart, passionate people — this is how GEP SOFTWARE™, GEP STRATEGY™ and GEP MANAGED SERVICES™ together deliver procurement and supply chain solutions of unprecedented scale, power and effectiveness. Our customers are the world’s best companies, including more than 550 Fortune 500 and Global 2000 industry leaders who rely on GEP to meet ambitious strategic, financial and operational goals. A leader in multiple Gartner Magic Quadrants, GEP’s cloud-native software and digital business platforms consistently win awards and recognition from industry analysts, research firms and media outlets, including Gartner, Forrester, IDC, ISG, and Spend Matters. GEP is also regularly ranked a top procurement and supply chain consulting and strategy firm, and a leading managed services provider by ALM, Everest Group, NelsonHall, IDC, ISG and HFS, among others. Headquartered in Clark, New Jersey, GEP has offices and operations centers across Europe, Asia, Africa and the Americas. To learn more, visit www.gep.com.

About S&P Global

S&P Global (NYSE: SPGI) S&P Global provides essential intelligence. We enable governments, businesses and individuals with the right data, expertise and connected technology so that they can make decisions with conviction. From helping our customers assess new investments to guiding them through ESG and energy transition across supply chains, we unlock new opportunities, solve challenges and accelerate progress for the world. We are widely sought after by many of the world’s leading organizations to provide credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help the world’s leading organizations plan for tomorrow, today.

Media Contacts

Derek Creevey               

Joe Hayes   

Email: joe.hayes@spglobal.com

GEP                                             

Principal Economist

Phone: +1 732-382-6565           

S&P Global Market Intelligence     

Email: derek.creevey@gep.com      

Phone: +44-1344-328-099

 

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BinBase Expands 2026 BIN Dataset with Instant Payout Intelligence for iGaming, Gambling, and Cross-Border Transfers

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BinBase updates its 2026 dataset with specialized Fast Funds, Visa Direct, and Mastercard MoneySend indicators to help iGaming operators and payout platforms execute seamless, instant card disbursements.

MIAMI, July 23, 2026 /PRNewswire-PRWeb/ — BinBase, a global provider of payment routing intelligence and card issuing data, has introduced specialized instant payout indicators as part of its upgraded 2026 BIN Database. Tailored for iGaming operators, online gambling platforms, crypto-to-fiat ramps, and payout aggregators, the updated dataset helps platform engineers streamline real-time card disbursements and Push-to-Card (P2C) transactions.

In high-velocity sectors such as online betting and gaming, instantaneous player payouts are a primary driver of customer retention. However, executing Push-to-Card transactions through protocols like Visa Direct and Mastercard MoneySend requires knowing whether the receiving card issuer supports Fast Funds for specific merchant category codes (MCCs). Attempting instant payouts on non-eligible cards leads to declined transactions, elevated processing fees, and poor user experiences.

The 2026 BinBase release solves this operational bottleneck by delivering dedicated attributes for real-time fund disbursements:

Fast Funds Eligibility: Granular indicators identifying domestic and cross-border Fast Funds support across global Visa and Mastercard ranges.Online Gambling Fast Funds (OG FF): Dedicated flags specifically identifying card ranges authorized to receive real-time gambling and betting payouts.Mastercard MoneySend & Visa Direct Indicators: Precise protocol compatibility markers (MS Ind & MT Ind) ensuring push transactions are routed only to eligible recipient cards.Direct Debit & Pull-Funds Support: Indicators for recurring collections and account-funding transactions.

“Player payouts in iGaming cannot wait for standard 2-to-3-day ACH settlements,” said a spokesperson for Damiko Inc. “By embedding our Fast Funds and Gambling FF flags into their payment engines, operators can instantly validate recipient cards before initiating a transfer, guaranteeing high success rates and instant liquidity for their users.”

Fintech engineers and payout architects can examine the full 29-field database schema and access a free 2026 sample dataset on GitHub.

To explore commercial licensing, bulk database downloads, or custom data feeds, visit BinBase at https://binbase.com.

About Damiko Inc

Damiko Inc is a US-based fintech data provider specializing in card issuer analytics, payment routing data, and global BIN database solutions. Operating through its flagship product, BinBase.com, the company supplies high-precision transaction intelligence to help merchants and payment facilitators worldwide optimize approval rates and mitigate processing fees.

Media Contact
Fedor Lavrikoff, BinBase, 1 7866133334, sales@binbase.com, www.binbase.com 

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Walnut Coding’s Young Coders Serve as ‘Instructors’ at Huawei Cloud Developer Training Camp

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Ages 8 and 15, students showcase AI-era project-building skills from concept to working application

BEIJING, July 23, 2026 /PRNewswire/ — Walnut Coding (the “Company”), a leading online platform for youth coding education, said two of its students – ages 8 and 15 – have joined the “instructor” lineup at Huawei Cloud Developer Training Camp, making them among the youngest “instructors” in the program’s history. The Company cites the pair as a prime example of how young learners can combine coding fundamentals with AI tools to turn ideas into working applications.

The two students, Bolin Du, 8, and Peiqi Gao, 15, built working applications using Huawei Cloud CodeArts, an AI coding assistant, then presented the projects to the training camp themselves – walking the audience through their design choices, technical builds, and debugging process.

The move lands at a moment when AI coding tools are forcing a rethink across the education sector. Tools that can generate functioning code from a plain-language prompt have undercut the traditional argument for teaching children to program – that they need the skill to build things themselves. Walnut Coding’s answer is that the more valuable skill now is judgment – knowing what problem to solve, breaking it into parts, and determining whether an AI’s output actually works.

Gao built a travel-planning application that generates routes, itineraries, and recommendations based on user input, handling the project end to end, from requirements and design through coding and debugging. Du, the younger of the two, built an interactive calendar application, using HTML for page structure, CSS for visual design, and JavaScript for interactive features. Both students then took on an instructor’s role at the camp, presenting their project goals and technical implementation to the audience – a step Walnut Coding says separated the work from a typical classroom assignment.

These were not classroom exercises but working projects, built and presented inside a professional developer-training environment. The experience demanded more from both students than simply producing something functional – they needed to articulate their reasoning, defend technical choices, and refine the final result under scrutiny. Their participation signals a broader shift underway in what youth coding education can deliver.

AI is making code generation easier, but it is also redrawing which skills actually matter. A student who relies only on one-click generation may get a rough prototype quickly, but still struggle to spot logical flaws, judge whether the output is reliable, or turn an abstract idea into a product that actually works. Students with programming foundations, by contrast, are better positioned to define requirements, evaluate what the AI produces, correct its errors, and treat the technology as a tool rather than a shortcut to lean on.

“AI can help children generate code faster, but it cannot decide for them what problem they should solve, nor can it make the final judgment about whether the result is truly effective,” said Pengxuan Zeng, founder and CEO of Walnut Coding. “What these two students demonstrated is not just coding technique, but the ability to define needs, break down tasks, verify outcomes, and turn an idea into a working product. That is why we believe young people still need to learn programming in the AI era.”

Walnut Coding structures its courses around that thesis, pairing student-led project work with teaching-assistant guidance and AI-assisted support. According to the Company, this data is continuously fed back into its systems to refine the personalization of AI-assisted feedback — a closed-loop process linking teaching, practice, feedback, and curriculum development.

The Company frames the payoffs less around producing professional software engineers than around a broader form of literacy. As AI continues to reshape how tasks get done, the ability to understand the technology, structure problems clearly and collaborate effectively with intelligent tools may prove one of the most durable skills a young learner can develop.

Walnut Coding says it plans to keep expanding opportunities for students to build practical projects, partner with industry technology platforms such as Huawei Cloud, and develop the core capabilities needed to build with technology in the AI era.

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MOREH Showcases High-Performance LLM Inference on AMD GPUs at AMD Advancing AI 2026

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SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Moreh, an AI infrastructure software company, led by CEO Gangwon Jo, participated in AMD Advancing AI 2026, AMD’s flagship annual AI event held in San Francisco on July 22–23 (local time), where it demonstrated its distributed inference solution, the MoAI Inference Framework, running on AMD GPUs.

At the event, Moreh presented a live demonstration of the GLM-5.1 large language model (LLM) powered by the MoAI Inference Framework on a system equipped with 32 AMD Instinct™ MI300X GPUs across four nodes. Visitors experienced the chatbot firsthand, evaluating its response speed and service quality while observing performance across a range of real-world use cases.

Unlike conventional demonstrations that simply run an AI model, Moreh’s showcase displayed key inference service metrics in real time, including GPU utilization, Tokens Per Second (TPS), Time To First Token (TTFT), and Time Per Output Token (TPOT). This enabled attendees to directly verify both inference performance and GPU resource efficiency in a production-like service environment.

Global AI industry leaders and enterprise customers attending the event expressed strong interest in the system’s fast response times and stable performance. In particular, the live deployment of the computationally demanding GLM-5.1 model on AMD GPUs at production-grade service levels received positive feedback from visitors.

Moreh’s MoAI Inference Framework is widely recognized as the world’s first commercially deployed distributed inference solution built for the AMD ecosystem. Its distributed inference and heterogeneous computing technologies are designed to dramatically reduce AI service costs, enabling broader adoption of AI worldwide. The technology addresses one of the industry’s biggest challenges-the rapidly rising infrastructure and service costs caused by increasingly larger AI models-by delivering a more efficient inference infrastructure.

Moreh CEO Gangwon Jo stated, “This event provided an opportunity for global customers to verify firsthand that top-tier inference performance can be achieved on AMD GPU environments,” and added “We will continue advancing our AI infrastructure software so enterprises can operate AI services as efficiently as possible, regardless of the underlying GPU platform.”

Moreh develops its own AI infrastructure engine and has expanded its end-to-end AI capabilities through its foundation LLM subsidiary, Motif Technologies, covering both AI infrastructure and foundation models. The company is also strengthening its presence in the global AI market through strategic partnerships with leading technology companies, including AMD and Tenstorrent.

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