BOOK A MEETING FR 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 …
Post Type Archives: Use Cases
Warehouse Management
BOOK A MEETING FR 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 …
Supply Chain Optimization
BOOK A MEETING FR 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 …
New Product Intelligence
BOOK A MEETING FR 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 …
Demand Forecasting
BOOK A MEETING FR 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 …
Customer Sentiment Analytics
BOOK A MEETING FR Sentiment analysis is analyzing the customer’s inclination, emotions, and feelings towards a product, its brand, and personal reviews regarding that. In Sentiment, analysis data is gathered from different social media platforms. This data is interpreted, analyzed, and visualized to get insights out of it. This may help industries to know “What …
Supply Chain Transparency
BOOK A MEETING FR In the present market, comprehending an existing supply chain with all its participants becomes crucial for carrying out smooth operations. By enhancing visibility brands can boost their relations with their customers and focus on building trust and connections while also delivering higher-quality goods and establishing authority. By Helping drive the surge …
Consistent Quality
BOOK A MEETING FR Big Data enables restaurants to preserve consistent product quality. Consumers generally expect a steady and uniform food taste in the case of their favorite chain restaurants. The food’s taste will depend on a variety of factors such as the accurate measurement of ingredients, as well as their quality, season, and also …
Quality Control
BOOK A MEETING FR Data analytics can also be used to ensure your products meet certain quality control standards. If you’re manufacturing food products, the packaging and ingredients directly affect product quality. By analyzing and monitoring all the components along your supply chain, scanning the quality of incoming materials, you can use this data to …
Marketing and Advertising
BOOK A MEETING FR For any business, it is very much important to spread awareness and acquire potential customers. Data Science and analytics help the food industry in identifying potential customers. Data can be analyzed to understand the demographics and needs to run highly targeted marketing campaigns. For example: when we use applications to order …