Coats Digital is pleased to announce that leading global apparel manufacturer, Embee International Industries, has implemented Coats Digital’s GSDCost solution across its operations to eliminate inaccurate costing, streamline production processes, and boost competitiveness in international markets. The move forms a key part of Embee International’s digital transformation strategy to drive greater efficiency, improve quality, and strengthen partnerships with its portfolio of top global brands.
Embee International, a leading Egyptian apparel manufacturer, has adopted Coats Digital’s GSDCost solution to standardise work methods, ensure accurate labour costing, and boost efficiency.
The move eliminates manual costing errors, enhances production visibility, and supports its digital transformation to strengthen global competitiveness.
Headquartered in Ismailia, Egypt, with additional facilities in Suez, Port Said, and Alexandria, Embee International employs more than 12,000 people.The company operates 4,800 sewing machines across 134 sewing lines and produces approximately four million units per month. Its diverse product range includes outer jackets, trousers, chinos, denim pants, shorts, leggings, underwear, tees, polos, shirts, and soft-shell jackets.
As a trusted supplier to brands such as Decathlon, Fruit of the Loom, LC Waikiki, Walmart, Calvin Klein, Skechers, Lee Wrangler, New Yorkers, and Defacto, Embee International is committed to operational excellence, ethical manufacturing, and sustainable growth.
Prior to adopting GSDCost, Embee International relied on manual time studies using stopwatches and inconsistent measurement methods. This led to inaccurate Standard Minute Values (SMVs), incorrect costings, unrealistic production targets, lengthy negotiations with buyers, and inefficient line balancing. It also faced high production costs due to non-standardised work methods, inconsistent quality from variations in operator techniques, frequent bottlenecks and missed delivery deadlines caused by poor production visibility.
Sherwin Ricky Jonas, Head-Industrial Engineering & CI said: “GSDCost delivers a clear, data-driven view of our production processes, allowing us to measure performance accurately, standardise work methods, and optimise resource utilisation. By enhancing workforce efficiency while upholding quality and compliance standards, it fosters seamless interdepartmental coordination, streamlines operations, and drives continuous improvement through informed decision-making.”
With GSDCost, Embee International can now produce precise, data-backed labour costings that improve buyer negotiations and optimise operator methods to reduce SMVs and increase efficiency. The company is building a robust digital SMV library to accelerate new style costing and planning while improving production visibility and line balancing. This transformation is enabling Embee International to create a more agile, scalable operation capable of meeting the fast-paced demands of the global apparel market and supporting long-term growth.
Diaa Hasham, Digital Manager, Sales, Coats Digital, added: “Embee International is a leading force in global apparel manufacturing, and we are thrilled that such a prestigious company has chosen Coats Digital’s GSDCost solution to drive its digital transformation. By optimising production processes through proven, scientific methods, Embee International is strengthening the resilience and efficiency of its operations. In a market where brands demand closer collaboration with fully digitised supply chain partners, GSDCost provides a common language for manufacturers and brands alike, helping to meet cost, quality, and delivery targets while promoting sustainable and ethical practices. We look forward to supporting Embee International throughout its digital transformation journey, so it continues to benefit from improved efficiencies, enhanced profitability, and a stronger position in the global apparel industry.”
Note: The headline, insights, and image of this press release may have been refined by the Fibre2Fashion staff; the rest of the content remains unchanged.
Running with wet feet, in wet socks, in wet shoes is the perfect recipe for blisters. It’s also a fast track to low morale. Nothing dampens spirits quicker than soaked socks. On ultra runs, I always carry spares. And when faced with wet, or even snowy, mid-winter miles, the lure of weatherproof shoes is strong. Anything that can stem the soggy tide is worth a go, right?
This isn’t as simple an answer as it sounds. In the past, a lot of runners—that includes me—felt waterproof shoes came with too many trade-offs, like thicker, heavier uppers that change the feel of your shoes or a tendency to run hot and sweaty. In general, weatherproof shoes are less comfortable.
But waterproofing technology has evolved, and it might be time for a rethink. Winterized shoes can now be as light as the regular models, breathability is better, and the comfort levels have improved. Brands are also starting to add extra puddle protection to some of the most popular shoes. So it’s time to ask the questions again: Just how much difference does a bit of Gore-Tex really make? Are there still trade-offs for that extra protection? And is it really worth paying the premium?
I spoke to the waterproofing pros, an elite ultra runner who has braved brutal conditions, and some expert running shoe testers. Here’s everything you need to know about waterproof running shoes in 2026. Need more information? Check out our guide to the Best Running Shoes, our guide to weatherproof fabrics, and our guide to the Best Rain Jackets.
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How Do Waterproof Running Shoes Work?
On a basic level, waterproof shoes add extra barriers between your nice dry socks and the wet world outside. If you’re running through puddles deep enough to breach your heel collars, you’re still going to get wet feet. But waterproof shoes can protect against rain, wet grass, snow, and smaller puddles.
Gore-Tex is probably the most common waterproofing tech in footwear, but it’s not the only solution in town. Some brands have proprietary tech, or you might come across alternative systems like eVent and Sympatex. That GTX stamp is definitely the one you’re most likely to encounter, so here’s how GTX works.
The water resistance comes from a layered system that is composed of a durable water repellent (DWR) coating to the uppers with an internal membrane, along with other details like taped seams, more sealed uppers with tighter woven mesh, gusseted tongues, and higher, gaiter-style heel collars.
A popular topic of conversation of late has been the existence of an artificial intelligence (AI) bubble and the likelihood that it will burst with great detriment to the IT industry as a whole. Yet, and perhaps surprisingly, the impact of a bursting bubble on digital twins might not be as problematic as one might think.
Ready adoption and fast diffusion of AI might warrant the tremendous investment flows of past years and could create revenue and profit streams quickly. We might as well be standing on the precipice of a bubble popping that will lead to sweeping valuation corrections. But digital twins stand to benefit from advancing AI either way. That said, the timeline of AI-enabled applications of digital twins might move, however.
Since the start of 2023, AI-related company valuations have ballooned. OpenAI is often attributed with starting the AI frenzy when releasing ChatGPT at the end of 2022. The company was valued at $29bn in 2023 and reached $500bn in October 2025, with observers wondering if the company can pull off a $1tn initial public offering soon.
AI chip leader Nvidia’s stock, meanwhile, multiplied by 13 between the beginning of 2023 and the end of October 2025, making it the first $5tn company ever. Even companies that are related but not at the centre of AI developments have increased substantially in value, with the stock price of Microsoft and Alphabet more than doubling and tripling, respectively, during that time period.
AI encompasses many different types of technologies and has many use cases, so it should be seen as an enabling technology rather than a sole application or a market per se. AI will play a major role across most application areas, but to varying degrees. Much like the way the internet shaped past decades – and will continue to shape coming decades – AI will transform industries for good in the long term. Potential potholes on the path that create setbacks are only par for the course.
Looking back to gaze ahead
It is worthwhile recalling the dot com era from the end of the last century to judge AI’s current hype. The Nasdaq Composite index – a stock index that skews toward information-technology companies – peaked at more than 5,100 points in March 2000 and then rapidly declined to a final low of barely above 1,100 points in October 2002. It took more than 12 years to move beyond 5,000 points again.
Likely, a crash is in the making. Similarly to 2000, a bursting bubble does not mean AI will go away, as internet-enabled companies and business models did not vanish. On the contrary, AI will flourish as the internet did. In fact, many infrastructure elements, such as datacentres, will become affordable for general use after lofty valuations come down.
During the late 1990s, the construction of fibre communication networks was perceived as a promising business opportunity. The business never became as profitable as expected, but the initial excitement created an infrastructure of dark fibre – unused but readily available communication lines – that supports today’s business models as a commodity that can be readily leveraged.
AI as an enabling technology will boost capabilities and accelerate the use of advanced digital twins. In particular, digital twins that have to work with difficult-to-capture data and not-completely-understood real-world dynamics will benefit tremendously. Digital twins of machinery can rely on a solid understanding of physics and measurable data that sensors can capture cost-effectively.
Factory environments have many known equipment dynamics and interactions – even workers’ likely movement patterns can be plugged into simulations. But urban digital twins attempt to capture the dynamics and behaviours of relevant elements across entire cities. They are not only subject to less understood dynamics, but also phenomena that are difficult – often impossible – to measure. AI can make available data usable and create additional data of unmeasurable phenomena.
AI in digital twins also allows the use of scenarios to better prepare for sudden events that can affect the entire system in unexpected ways. For example, city managers might use it to develop strategies for unusual weather events, pandemic-like occurrences, or localised industrial accidents with ripple effects across the urban landscape.
Digital twins and AI to plan for tomorrow’s cities
Digital twins of urban environments are difficult to design, implement and maintain, but the potential commercial and societal impact such digital twins can have promises to be substantial. Because of the number of parameters, intersecting dynamics and range of conceivable scenarios, the benefits AI can provide in understanding urban environments are considerable. AI and digital twins reinforce each other.
Digital twins of urban environments are difficult to design, implement and maintain, but the potential commercial and societal impact such digital twins can have promises to be substantial
AI can speed up the building of digital twins by supporting code development for virtual environments. Such applications accelerate overall design development and allow design details to be embedded more easily. For clients and users, AI reduces costs, enables faster implementation of digital twins, and allows for quick and inexpensive changes and alterations as requirements change or new needs arise. In addition, AI can improve the interface experience between virtual environments, as well as simulations of operations and users.
Ari Lightman, a professor at Carnegie Mellon University, explains: “Generative AI would be used to look at the entire simulation and turn it into a summary for humans. It could tell me things I might be missing and summarise things in a way I can understand.”
AI doesn’t only benefit digital twins, but digital twins also support AI’s capabilities. Scott Likens, emerging technology leader at PwC, points out: “We’re using digital twins to generate information for large language models…. We see an opportunity to have the digital twins generate the missing pieces of data we need, and it’s more in line with the environment because it’s based on actual data.”
Nvidia serves the market of smart cities as city planners and managers “are turning to digital twins and AI agents for urban planning scenario analysis and data-driven operational decisions”. The company is providing a range of solutions to enable users to create photo-realistic, simulation-ready digital twins of urban environments to optimise city operations.
A partnership of Japanese companies is developing the digital entertainment city Namba in Osaka, Japan. The aim is to “create the world’s first smart city that integrates artificial intelligence, extended reality and decentralised physical infrastructure networks [a blockchain-based approach to manage decentralised networks] on a city-wide scale”. The group intends to offer services beyond entertainment and tourism. Namba is a neighbourhood within Osaka, thereby limiting the claim to city-wide application of the concept.
The silver lining of AI over-investment
The existence of an AI investment bubble is increasingly perceived as a foregone conclusion. AI companies and technology suppliers are now even investing in each other’s operations, adding to lofty valuations. There are obvious indications of a bubble, but positive effects can emerge from the current investment excitement. Whatever the outcome, applications for digital twins will see their timeline solidify as the immediate future of AI plays out.
Over-investment in fibre during the dot com years ended up creating dark fibre – overbuilt fibre cables for data transmission. This infrastructure has served as a ready and inexpensive resource ever since. For AI, investment in datacentres is comparable to the fibre investment from 30 years ago
If use of AI applications proves to be an all-encompassing and rapidly growing market opportunity, the immense investment of the past couple of years will be retroactively viewed as forward-looking wisdom that locked in favourable competitive positions and profits for years to come. More likely, though, investors have outrun their headlights, and expectations of adoption and diffusion of AI applications over the next few years are overrated.
If so, there will be a shock to the system, like the burst of the dot com bubble at the beginning of the century when the Nasdaq Composite Index dropped by almost 80% within 30 months. Initial warnings existed – the former chairman of the Federal Reserve used the phrase “irrational exuberance” when discussing the development of the stock market in December 1996. Warnings of an exuberant AI bubble are common today.
Bursting investment bubbles hurt investors and bring down many companies. Indeed, 25 years ago, a slew of dot com companies vanished. But related over-investment in infrastructure can make assets suddenly affordable, opening up new opportunities. Such affordability changes cost structures that enable business models that could not have become successful at previous valuations. Infrastructure overhang – infrastructure built for rapid growth that does not materialise in the short run – leads to commodification of infrastructure elements, which can democratise a technology for incumbents and startups alike.
The over-investment in fibre during the dot com years ended up creating dark fibre – overbuilt fibre cables for data transmission. This infrastructure has served as a ready and inexpensive resource ever since. For AI, investment in datacentres is comparable to the fibre investment from 30 years ago. Morgan Stanley analysts forecast datacentre spending globally of up to almost $3tn between now and 2028. The amount is staggering, and it is difficult to imagine use cases and adoption rates that will provide the required return on investment for any business model. But as initial investors see their investments decrease or vanish, new players can snap up or use related infrastructures at bargain prices.
Alkesh Shah, a tech analyst at the Bank of America, explains the underlying reason for such recurring dynamics: “You always over-estimate how fast the change will happen. And you underestimate the magnitude of the change.”
The impact digital twins will have on the marketplace will follow a similar dichotomy between today’s expectations of rate of change and tomorrow’s impact of such change. Digital twins require many technological bits and pieces to come together. And AI will play an important role in digital twins, if not tomorrow, then the day after tomorrow.
After a long time of resisting significant price drops, the Asus Zenbook S 16 has finally dropped down to $1,000, which is $500 off its retail price.
It’s normal for laptops to dip in price toward the end of their lifespan, close to when an update comes out. But the Asus Zenbook S 16 has held on. To be fair, it’s an extremely high-end Windows laptop, one of the prettiest to come out last year. It’s sleek, portable, and has a striking design. It even gets fantastic battery life, on par with a MacBook. Speaking of MacBooks, this Zenbook is the laptop I saw tech journalists traveling with more than anything else. Given how much tech they review, that’s quite an endorsement.
But the S 16 has always been hard for me to recommend when the cheapest model available was $1,500. I was always on the lookout for a more significant price cut, but it never dropped more than a couple hundred bucks. And even though it always came with 24 GB of RAM and a terabyte of storage, the price was a hard pill to swallow. Well, the day has finally come. It’s now down to $1,000 over at Best Buy as part of the store’s Presidents’ Day sale. That’s an incredible price for this much laptop.
Photograph: Christopher Null
Asus
Zenbook S 16 (UM5606)
The previously mentioned memory and storage still apply here, along with the 2880 x 1800 OLED display with a 120-Hz refresh rate. This laptop basically has every high-end feature you could imagine, but one of my favorite aspects is the ports. Despite the thin profile, the S 16 keeps all the legacy ports you might want, including HDMI, USB-A, and even a full-size SD card slot.
There is also a smaller, 14-inch model, but its discount is not as strong as the 16-inch model. It comes in at $1,300 right now, which is still a solid price for this configuration.
I should say that Asus has an update in the works for 2026 with the latest Intel chips, but it’s only coming to the 14-inch model. I won’t lie: Based on my testing, these CPUs will make a significant difference in performance—especially on the graphics front. But I have a feeling Asus will be selling this device for an even higher price for much longer, especially with the recent development around memory shortage.
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