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.