Textile and manufacturing companies are currently navigating a period of extreme volatility, with container costs tripling in just nine months. To combat this, the AI-driven platform CreateOne is helping firms like Grupo Beta move from guesswork to real-time profit tracking.
The hidden cost of a 50-yard roll of fabric
The global manufacturing sector is currently battling a landscape of shifting tariffs and unpredictable transit fees.. According to the report, many factories are operating on a "super backwards" economic model, committing to expensive materials and labor before they even know if a specific order will be profitable. This lack of visibility means that projects promising a 7 percent margin can quietly bleed money without the manufacturer realizing it until it is too late .
This volatility is often driven by sudden changes in the "operating truth" of a factory floor. for example, a manufacturer might expect to receive 100-yard rolls of material, only to have 50-yard rolls arrive instead. In traditional systems, these discrepancies are often buried in dozens of different spreadsheets, making it nearly impossible to react in real time to the changing costs of production.
How Grupo Beta answered 1,600 questions in record time
While many companies view AI as a looming cost or a technical hurdle, the textile client Grupo Beta has used the CreateOne platform to achieve rapid reults. As Daren Hull, CEO of CreateOne, noted, the company’s adoption of the technology was staggering, involving over 1,600 questions answered and more than 100 applications generated in a very short window.
The platform, developed by Resonance, functions as an economic decision layer that sits on top of existing supply chain systems. Instead of just offering generic AI advice, it uses a hybrid temporal graph network (HTGN) and swarms of agents to provide deterministic, real-time calculations. This allows companies to understand their true costs—down to the expense of a single thread—before they commit to a contract.
The three-week leap from proof of concept to enterprise scale
Implementation speed is a major differentiator for the CreateOne platform compared to traditional enterprise software. While most industrial systems take months or even years to integrate, the report highlights that this system went from a proof of concept to full enterprise deployment in just three weeks. this rapid onboarding is possible because the system requires no "cold start"; it trains instantly on a company's existing capabilities to deliver precise numbers.
Rod Rozell, the COO of Grupo Beta, compared this technological leap to moving from a steam locomotive to a SpaceX starship. By integrating AI across all departments—rather than keeping it in isolated silos—the platform allows manufacturers to optimize their entire portfolio of orders. this means two potentially unprofitable orders can be combined and run together to maximize efficiency and total profit.
Can 'Ask your model' bridge the gap between the floor and the boardroom?
One of the most unique features of the CreateOne platform is its accessibility to non-engineers, including those in planning, finance, and even frontline operations. The system includes a prompt at the bottom that allows users to "Ask your model," effectively bringing high-level data analysis directly to the factory floor. This approach treats the observations of frontline workers as data points that are just as valuable as automated metrics.
However, several questions remain regarding the long-term impact of this level of granular oversight. It is still unknown how much the "Ask your model" feature will actually influence daily worker sentiment or if it will be perceived as a tool for increased surveillance. Furthermore , while the platform provides "operating truth," the report does not address how the system handles human error when workers input incorrect manual observations into the AI model .
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