AI/ML is increasingly being used to support the forecasting process. They are both key tools in tackling volatility and coming up with more accurate demand plans short and long term. Retail is ever-changing with sustainability, eco-conscious customers and the pandemic popularity of e-commerce, you’ll need all the state-of-the-art solutions at your disposal. How should you embrace them?
During this peer session, we would like to discuss:
Leveraging market knowledge as forward looking drivers
Impact of pricing, promotions and markdowns
Demand sensing techniques
Taking into account omnichannel effects
Forecast generation cadence
Changing skills of demand planners
This roundtable discussion will take place on November 10th at 12pm ET and will be led by Vikram Murthi, o9’s Head of Retail Industry Strategy. He will guide you through the new possibilities that AI and ML bring to forecasting and will also provide practical use cases of AI/ML forecasting used by retailers.
So, what is a peer session?
This peer session is a 1-hour knowledge sharing session in which a limited group of people <12 will engage in a discussion around the topic of the month. The session is facilitated by an industry expert in which diverse groups of innovators come to share knowledge, discuss challenges, learn new things, and meet new people. The session will be highly interactive and collaborative, with a fresh twist.
We keep the agenda simple:
Setting the scene
Why should I register?
Immerse yourself in a global community of professionals who are passionate about digitally transforming their businesses.
Learn a new tool and creative process that you can bring back to your team to collaborate and brainstorm together.
If you think webinars are great, but you’re missing the benefits of in-person collaboration and conversation. Be prepared to use this full hour of actively engaging on both Zoom and our creative end-of-the-session program.
Who is it for: Retail US, including the sub-industries of Grocery, Softlines, Hardlines, Convenience, Food Chains, e-Commerce.