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DTSTART:20241103T010000
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DTSTART;TZID=America/New_York:20190916T140000
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SUMMARY:Getting the most out of Machine Learning and AI in a Merchant Driven Retail Organization
DESCRIPTION:Please use the link below to access the webcast up to 15 minutes before the start time: \n\nhttps://event.on24.com/wcc/r/2071802/6AE03E278EE79A0A2263FE445758058D\n\nEven the strongest merchant-led retail brands can benefit from AI and machine learning\, especially when it comes to scale and automation. Retailers literally have millions of assortment decisions to determine which stores should carry which SKUs\, what quantities\, and when. As more brands are looking at assortment optimization and localization\, the number of micro-decisions to be made increases exponentially. \n\nThis webinar will offer use case examples of how top brands are finding the right balance and blend between machine-learning and existing business processes and rules. \n\nKey takeaways addressed during the session will include: \n\n• How brands are integrating machine learning with the inherent knowledge of merchants around key brand stories and product mix\;\n\n• How merchant teams are adding the ability to over-ride the recommendations of AI in some cases\; \n\n• Emerging best practices around adding controls to help with SKU rationalization and endless aisle strategies\, and \n\n• Examples of how AI systems become smarter over time as they ingest more diverse data.
X-ALT-DESC;FMTTYPE=text/html:Please use the link below to access the webcast up to 15 minutes before the start time:
https://event.on24.com/wcc/r/2071802/6AE03E278EE79A0A2263FE445758058D
Even the strongest merchant-led retail brands can benefit from AI and machine learning, especially when it comes to scale and automation. Retailers literally have millions of assortment decisions to determine which stores should carry which SKUs, what quantities, and when. As more brands are looking at assortment optimization and localization, the number of micro-decisions to be made increases exponentially.
This webinar will offer use case examples of how top brands are finding the right balance and blend between machine-learning and existing business processes and rules.
Key takeaways addressed during the session will include:
•How brands are integrating machine learning with the inherent knowledge of merchants around key brand stories and product mix;
•How merchant teams are adding the ability to over-ride the recommendations of AI in some cases;
•Emerging best practices around adding controls to help with SKU rationalization and endless aisle strategies, and
•Examples of how AI systems become smarter over time as they ingest more diverse data.
LOCATION:https://event.on24.com/wcc/r/2071802/6AE03E278EE79A0A2263FE445758058D
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