For Kazuya Kawasaki, CEO of Synflux, keeping textile waste out of landfills begins at the design stage. At least 30 percent of material is lost on the cutting room floor, he said at the Global Fashion Summit in Copenhagen on Thursday. His solution: Using a combination of machine learning and 3D simulation to generate and test hundreds, even thousands, of cutting pattern variations in a few minutes. “The result is up to 66 percent less waste with no changes to the design or quality,” he said. None of this is simply theoretical, Kawasaki noted. Synflux ran a pilot with The North Face, halving the amount of waste produced by one of the outerwear brand’s bestselling jackets. It’s been steadily expanding upstream, working with OEM manufacturers in its native Japan and elsewhere in Asia. “We see artificial intelligence as the key to transforming sustainability in fashion,” he said. “When supply chain data is connected and AI -driven, something powerful happens: You can predict risk before it becomes a problem.…