When you think of the garment industry, you probably don’t immediately think of high tech, big data, and analytics. However, nearly all successful businesses in the fashion industry today rely on data tools to streamline their operations and grow much faster than they would without them.
In an industry where change is the only constant, using data-driven insight and analytics to make strategic decisions has become essential to success. Once a simple model of manufacturing and selling clothes, the apparel supply chain is now a highly complex and globalized ecosystem with multiple stakeholders and increased competition from emerging markets.
Apart from the right product, quality and technique, there are many other aspects that need to be considered to ensure that your products meet customer expectations when they hit the market. This includes accurate demand forecasting, constant quality control, ensuring compliance across all business levels as well as steady collaboration with various vendors or suppliers.
To survive in this environment, fashion companies need to adopt technologies that allow them to grow faster while controlling costs. This blog will cover some key areas where MIS (Management Information Systems) and data-driven business insights and analytics play a key role in the fashion industry.