Managing Supply Chain Data Projects
How to efficiently conduct data projects in the supply chain industry.
COVID-19 Immunity through Automation
No matter the industry, the key to having a resilient supply chain lies in automation.
New Report Exporting Feature
AutoMail was extended with a new feature to share complete dashboards via email.
Automation Fosters Supplier Collaboration
Automating supplier delivery and quality performance monitoring with an email extraction engine is the future of supplier collaboration.
New Fashion Conference
Lineverge’s co-founders Florian Gamper and Clem Taing delivered a speech on the future of Fashion at Global Sources Fashion.
Trend Exploitation vs. Forecasting
Trend exploitation using artificial intelligence could be an alternative to conventional forecasting when the historical demand data is unreliable.
Shoe Manufacturing Symposium
Managing Director of Lineverge, Florian Gamper, was invited to share his views on demand forecasting at Shoe Material & Manufacturing Innovation Symposium 2019 held in Shenzhen on Mar 5, 2019. He presented how artificial intelligence can be utilized to generate insights from the activities on various
PDF Extraction using Microservices Architecture
One of the key hindrances in supply chain digitization is dealing with information stored in PDF. The information in PDF is mostly read-only, making info processing difficult and inefficient. We have partnered with Fung Academy to crack the case – extracting sketches and information from the tech packs in
Partnership with Fung Academy
Lineverge is now a member of Explorium community in Hong Kong and a proud partner of Fung Group and Fung Academy to tackle the most complex supply chain challenges with innovation and artificial intelligence! Explorium Hong Kong is an innovation hub with the
Footwear Innovation Summit
Lineverge held a presentation about Artificial Intelligence at the Footwear Innovation Summit in Shenzhen on November 16th. Topic: Artificial Intelligence in the Footwear Industry with the Example of a Go-to-Market Platform. This conceptual level talk was meant to show how specific AI models that were proven
