SoftWear Automation Secures Investment from Bestseller to Advance Sewbot Technology by 2025

SoftWear Automation is advancing the use of “physical AI” in the fashion industry through its Sewbot technology, which aims to fully automate the garment assembly process. According to a report by the Korea Textile News, the company is expanding its reach into the global supply chain, with Danish fashion firm Bestseller participating in an investment round in 2025 to integrate these automated systems into clothing production.

Sewbot and the Shift to Physical AI

The core of this development is the Sewbot, a robotic system designed to handle the complexities of sewing fabric, a task that has historically required human dexterity. The Korea Textile News reports that this transition to “physical AI” allows robots to perceive and manipulate soft materials in real time, potentially removing the need for manual labor in the assembly phase of the fashion supply chain.

Traditional garment manufacturing relies on labor-intensive processes in regions with lower wage costs. SoftWear Automation’s technology seeks to disrupt this model by enabling “on-shoring,” where production can move closer to the end consumer to reduce shipping times and carbon emissions.

Bestseller’s 2025 Strategic Investment

Bestseller, a major Danish fashion company, has committed to the scaling of this technology through a 2025 investment. This partnership focuses on moving Sewbot from a prototype or limited-run phase into a scalable industrial application. The investment suggests a shift in how large-scale apparel retailers view the production cycle, moving away from traditional outsourcing toward automated, localized manufacturing.

By integrating Sewbot, Bestseller aims to optimize its supply chain. This approach targets the reduction of overproduction—a chronic issue in the fashion industry—by allowing for smaller, more frequent production runs that can react more quickly to changing consumer trends.

Impact on Global Fashion Supply Chains

The introduction of physical AI into garment making alters the economic geography of the apparel industry. According to the Korea Textile News, the ability to automate sewing allows brands to restructure their entire supply chain. This includes a reduction in the reliance on long-distance logistics and a decrease in the lead time between design and retail delivery.

Industry analysts cited in the reporting suggest that this technology addresses the volatility of the current global trade environment. Localized, automated factories can mitigate risks associated with geopolitical instability or shipping disruptions that typically plague the traditional garment trade.

The implementation of Sewbot represents a move toward a more sustainable production model. By producing garments closer to the point of sale and reducing the volume of unsold inventory through precise, automated demand response, the technology targets the environmental footprint of the fashion sector.