Following $100M Series B, Fabric continues on path to modernizing ecommerce for scaling businesses
Fabric, a headless commerce platform purpose-built for growth, today announced its new membership in the MACH Alliance, the independent not-for-profit organization dedicated to advocating for open, best-of-breed technology ecosystems for enterprises, on a mission to future-proof technology and propel current and future digital experiences. Fabric’s headless commerce technology helps midsize and enterprise B2B and B2C brands, including BarkBox, GNC and Restoration Hardware, deliver exceptional e-commerce experiences
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“Commerce companies are struggling to grow because of their legacy technology options. They need modern solutions that are built for their needs,” said Umer Sadiq, CTO at Fabric. “Rather than relying on existing platforms unfit for growth — or timely and costly replatforming migraines — growing commerce brands need flexibility and convenience that will translate into strong brand experiences for their customers. We’re excited to work alongside the MACH Alliance to ensure that’s exactly what they get.”
The MACH Alliance (Microservices-based, API-first, Cloud-native SaaS and Headless) was formed to help enterprises adopt and adapt the best and most agile systems, processes and skills to turn their digital practices into business differentiators. Fabric allows marketers and merchants to quickly turn creative commerce ideas into reality, without the need to fully rely on expensive engineering resources. An extensive and flexible API-driven approach enables brands to modernize their legacy e-commerce platforms in a matter of weeks versus months, saving time and money.
“Fabric is paving the way for modern commerce. We’re thrilled to welcome them to the group,” said Sonja Keerl, MACH Alliance President. “Many of the businesses we work with are struggling to keep up as more and more transactions move online. As these organizations grow, we believe they will benefit from learning more about Fabric’s unique, headless approach.”
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