Data analytics takes advantage of the valuable data generated by consumers whenever they purchase items, be it offline or online. This data paints the customer profile, and with the brand loyalty program, these businesses will be able to see patterns in shopping behaviour to which they can leverage on. Knowing what and where customers buy …
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Machine Utilization
A problem for brands working with apparel manufacturers is wasted or inefficient time throughout the manufacturing process. Analytics can provide brands and manufacturers insight into machine utilization and identifying the cause of problems, such as poor installation, overdue maintenance, misuse, or simply a lack of downtime coordination. By combining the current systems with advanced analytics, …
Warehouse Management
In the fashion industry, efficient storage of apparel is an often overlooked aspect of the manufacturing process. Once products are ready to be shipped, every second becomes important, especially in a world that is increasingly subject to movements like fast fashion. Using analytics, apparel manufacturers can establish efficient arrangement structures, better product flow management, and …
Supply Chain Optimization
The complexity of supply chain management has increased tremendously thanks to globalization and the success of e-commerce. Brands today have more products to offer, ability to ship to more locations, more channels to promote and sell on, and more markets to venture into. Great supply chain management can be the difference between hitting the market …
New Product Intelligence
One of the biggest challenges of the apparel industry is predicting the reception of new product launches. While fashion brands have long been relying on traditional focus groups to understand the demand for new products, today many are embracing analytics to generate actionable product intelligence. Such predictive intelligence is allowing brands to discover how previous …
Demand Forecasting
One of the best use-cases for analytics in apparel manufacturing is for demand forecasting. With analytics, brands can achieve a core strategic objective: building a tailored assortment that best meets market demands. By better understanding customers’ style preferences, fabric choices, and fit, brands can identify a set of high-priority opportunities. They can leverage trend analytics, …