This meetup focuses on discussing use cases on how big data helps improve:
• Retargeting
• Inventory turnover rate
• Data collection types: Purchase intent, brand loyalty, aversion or attraction trends, color silhouette preferences, style types.
• Overcoming buying challenges through tech
• Social media and influencer Analytics
The goal is to connect fashion retailers and fashion tech startups.
6:00 Networking
7:00 Olivier Zimmer, Global Innovation Lead, Insights & Analytics at Google
"Trends Spotting on Google"
Introducing data from multiple markets focusing on apparel trends from the United States and United Kingdom to enable a better understanding of how trends spread and behaviors emerge across the two markets.
Check out the Fashion trends report Olivier and his team worked on https://storage.googleapis.com/think/docs/twg-fashion-trends-2016.pdf
7:30 Bethany Baker, Data Scientist, Betabrand
"Crowd Funding Predictive Modeling"
Learn how market research is achieved through crowdfunding to help in accurately predicting inventory adoption rates and future demand of catalogues with rich datasets and advanced modeling, to minimize the risk of a poorly-performing product or excess inventory.
8:00-8:15 Closing remarks
show less
• Retargeting
• Inventory turnover rate
• Data collection types: Purchase intent, brand loyalty, aversion or attraction trends, color silhouette preferences, style types.
• Overcoming buying challenges through tech
• Social media and influencer Analytics
The goal is to connect fashion retailers and fashion tech startups.
6:00 Networking
7:00 Olivier Zimmer, Global Innovation Lead, Insights & Analytics at Google
"Trends Spotting on Google"
Introducing data from multiple markets focusing on apparel trends from the United States and United Kingdom to enable a better understanding of how trends spread and behaviors emerge across the two markets.
Check out the Fashion trends report Olivier and his team worked on https://storage.googleapis.com/think/docs/twg-fashion-trends-2016.pdf
7:30 Bethany Baker, Data Scientist, Betabrand
"Crowd Funding Predictive Modeling"
Learn how market research is achieved through crowdfunding to help in accurately predicting inventory adoption rates and future demand of catalogues with rich datasets and advanced modeling, to minimize the risk of a poorly-performing product or excess inventory.
8:00-8:15 Closing remarks
This meetup focuses on discussing use cases on how big data helps improve:
• Retargeting
• Inventory turnover rate
• Data collection types: Purchase intent, brand loyalty, aversion or attraction trends, color silhouette preferences, style types.
• Overcoming buying challenges through tech
• Social media and influencer Analytics
The goal is to connect fashion retailers and fashion tech startups.
6:00 Networking
7:00 Olivier Zimmer, Global Innovation Lead, Insights & Analytics at Google
"Trends Spotting on Google"
Introducing data from multiple markets focusing on apparel trends from the United States and United Kingdom to enable a better understanding of how trends spread and behaviors emerge across the two markets.
Check out the Fashion trends report Olivier and his team worked on https://storage.googleapis.com/think/docs/twg-fashion-trends-2016.pdf
7:30 Bethany Baker, Data Scientist, Betabrand
"Crowd Funding Predictive Modeling"
Learn how market research is achieved through crowdfunding to help in accurately predicting inventory adoption rates and future demand of catalogues with rich datasets and advanced modeling, to minimize the risk of a poorly-performing product or excess inventory.
8:00-8:15 Closing remarks
read more
• Retargeting
• Inventory turnover rate
• Data collection types: Purchase intent, brand loyalty, aversion or attraction trends, color silhouette preferences, style types.
• Overcoming buying challenges through tech
• Social media and influencer Analytics
The goal is to connect fashion retailers and fashion tech startups.
6:00 Networking
7:00 Olivier Zimmer, Global Innovation Lead, Insights & Analytics at Google
"Trends Spotting on Google"
Introducing data from multiple markets focusing on apparel trends from the United States and United Kingdom to enable a better understanding of how trends spread and behaviors emerge across the two markets.
Check out the Fashion trends report Olivier and his team worked on https://storage.googleapis.com/think/docs/twg-fashion-trends-2016.pdf
7:30 Bethany Baker, Data Scientist, Betabrand
"Crowd Funding Predictive Modeling"
Learn how market research is achieved through crowdfunding to help in accurately predicting inventory adoption rates and future demand of catalogues with rich datasets and advanced modeling, to minimize the risk of a poorly-performing product or excess inventory.
8:00-8:15 Closing remarks
show less
Date/Times:
865 Market Street., Suite 450, San Francisco, CA 94103
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