SOURCING at MAGIC
About
Regarded as an AI data technology visionary and AI innovator, Brian Marsh, COO and technical co-founder of Jellibeans began his career as a systems engineer at Yahoo! Japan before serving as a research analyst at BlackRock where he helped build the firm's first high-frequency Japanese equity strategy. Through research on esoteric data analysis, NLP, and novel machine learning, Brian has lead the charge in creating AI-enabled fashion analytics and intelligence at his latest venture: jelli.studio. Hear about his incredible journey, vision, and learn how Jellibeans can propel your company into the age of AI.
Key Takeaways:
- Suppliers and brands are increasingly feeling the pinch as they compete with Temu and Shein.
As fast fashion quickly takes over thanks to Shein and Temu, it’s sending ripple effects impacting the bottom line for suppliers that are feeling the squeeze as they’re either having to attempt to keep up with the pace, but don’t have the capability of accurately creating collections that consumers want to purchase, or they’re suppliers for fast fashion brands but unable to offer higher margins as a price war kicked off and a race to the bottom.
- Suppliers and brands are seeking a solution to digitally transform their business as a means of remaining competitive.
Jellibeans has had conversations with many suppliers who are looking at a complete digital transformation of their business. A digital overhaul would enable them to begin catching up to the pace at which fast fashion retailers operate. However, understandably, many suppliers aren’t able to completely overhaul or re-structure their business without significant risk and investment, which they can no longer do and are not confident with executing.
- Jellibeans is now filling in this gap with its latest SaaS service launching on jelli.studio today.
Jelli.studio started as a tool for brands to quickly prototype and auto-generate new collections based on the latest fashion trends. However, recognizing the pain points suppliers have expressed, jelli.studio is launching its innovative SaaS feature that enables brands and suppliers to plug their e-commerce site into the platform. It can analyze the supplier or brand’s existing collections or design requirements and predict and recommend new designs that are in-line with the latest consumer preferences – all of which is powered by jellibeans’ AI, which has been trained on over 10 million products and 100+ data points.
Speaker:
Brian Marsh, CTO & Co-Founder, Jellibeans
Key Takeaways:
- Suppliers and brands are increasingly feeling the pinch as they compete with Temu and Shein.
As fast fashion quickly takes over thanks to Shein and Temu, it’s sending ripple effects impacting the bottom line for suppliers that are feeling the squeeze as they’re either having to attempt to keep up with the pace, but don’t have the capability of accurately creating collections that consumers want to purchase, or they’re suppliers for fast fashion brands but unable to offer higher margins as a price war kicked off and a race to the bottom.
- Suppliers and brands are seeking a solution to digitally transform their business as a means of remaining competitive.
Jellibeans has had conversations with many suppliers who are looking at a complete digital transformation of their business. A digital overhaul would enable them to begin catching up to the pace at which fast fashion retailers operate. However, understandably, many suppliers aren’t able to completely overhaul or re-structure their business without significant risk and investment, which they can no longer do and are not confident with executing.
- Jellibeans is now filling in this gap with its latest SaaS service launching on jelli.studio today.
Jelli.studio started as a tool for brands to quickly prototype and auto-generate new collections based on the latest fashion trends. However, recognizing the pain points suppliers have expressed, jelli.studio is launching its innovative SaaS feature that enables brands and suppliers to plug their e-commerce site into the platform. It can analyze the supplier or brand’s existing collections or design requirements and predict and recommend new designs that are in-line with the latest consumer preferences – all of which is powered by jellibeans’ AI, which has been trained on over 10 million products and 100+ data points.
Speaker:
Brian Marsh, CTO & Co-Founder, Jellibeans
