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Showing posts with the label Fashion Industry

Automating The Retail And Fashion Industry Processes For Profit Maximization

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Just like any other industry, artificial intelligence is helping the retail and fashion industry to get smarter through automated business processes. With high expectations from customers coupled with the challenges of staying abreast of competition, the retail and fashion industry needs to integrate business flow. The retail and fashion industry can leverage on AI technologies to automate areas such as sales and marketing, logistics, manufacturing, and design. AI-enabled fashion design and production  The dynamic nature of fashion and design requires businesses to be proactive and make intelligent guesses for customers. In most cases, retailers bench their present year’s sales on metrics from the past year. However, there may be differences as a result of factors influencing sales. The AI-enabled system analyses previous sales, customers demand and come up with an intelligent forecast for your business. Integrating operations Lots of mundane tasks such as calculati...

Detecting Flaws In Fabrics Through Artificial Intelligence

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Artificial Intelligence technology is helping the fashion industry detect flaws in clothing materials. Production of quality and flawless fabrics require considerable efforts and suitable materials. However, employees working in textile industries are limited in delivering defect-free fabrics under tight schedules. Hence, the need to integrate the system with an AI-based machine to improve employees’ efficiency, meet customers’ expectations, and fast-track growth in the retail and fashion industry. Manufacturers of textile materials depend on the human capacity to analyse and detect flaws in clothing materials during and after production. Detecting defects in fabrics using human visual analysis or manual approach is not reliable, and appropriate checks may be overlooked. For the retail and fashion industry to remain relevant in a fast-paced marketplace, there is a need to look beyond old-fashioned ways of checking for flaws in clothing materials. Manufacturers o...