AI in the Fashion & Garment Industry
Mobile Electronics Show
Global Sources Fashion Show is the largest fashion trade fair in Hong Kong, it attracts over 20,000 buyers from 94 countries and regions each year. For more information about the show, please refer to the official website or the show report. Con-current with the 4-day exhibition, conferences cover latest fashion trends and sourcing tips will […]
Supply Chain & Logistics Innovation Forum
Datacrag was invited to speak about current AI trends in the Supply Chain Industry at the Mobile Electronics Show hosted at Asia Wolrd Expo. The presentation was translated in Chinese in real-time thanks to a solution provided by a Shanghainese startup. Topic: Artificial Intelligence as a Core Component of the Product Development Phase. Abstract: This […]
Prime Source Forum
When you hear about innovation in the supply chain, you typically get the over-hyped news about logistics robots, self-driving trucks or flying drones that will soon be delivering our e-commerce packages. In Asia, supply chain leaders have however a much more pragmatic view on innovation. They care more about they can improve the efficiency of […]
HKTDC SmartBiz Expo
Datacrag was invited to speak at the Prime Source Forum about the application of Artificial Intelligence in the Supply Chain industry. The focus of our sharing was about automating the sourcing process with AI components positioned at the right place. We spent the last months testing and applying most of the latest Open Source technologies […]
Datacrag was invited to speak at the SmartBiz Expo organized by the Hong Kong Trade Development Council at the Hong Kong Convention and Exhibition Centre. The topic: Clustering as a base for assortment planning – example of a textiles manufacturer selling its products across 300+ retail-stores and an e-commerce platform
Machine Learning in the Supply Chain Industry
Topic: Startup Ecosystem and Early Funding in Hong Kong.
Thanks to the AI Society we had the chance to share real supply chain business cases in which we applied machine learning.