Mars Improves On-Time Delivery Performance With Analytics Automation
More than ever, the last mile of delivery is crucial to capturing customer demand on time. To ensure product flowed between manufacturing and delivery to retail partners without delay, Mars automated the process of embedding Machine Learning into multiple point of its supply chain. Predicting whether a shipment would arrive to its destination on time was paired with a system of management oversight, providing alerts and recommendations to improve delivery performance. In this webinar you will learn how to similarly employ analytics automation within multiple points of the supply chain to improve business outcomes such as on-time delivery.
View this on demand webinar to see your organization can use predictive analytics to:
Forecast recurring and seasonal demand
Automate forecasts to support more timely decisions
Optimize distribution to meet consumer demand
I agree that the data I provide may be used to contact me for marketing purposes. I may opt out at any time.
By submitting this form, I acknowledge my data will be processed in accordance with the Alteryx Privacy Policy
Speakers
Vishwanath Gangireddy
Information Delivery Architect, Mars
Aaron McClendon
Head of Data Science, Aimpoint Digital
Gib Bassett
Solutions Marketing Director, Alteryx
Recommended Resources
Event
No More Manual Runs: UK Greetings’ Path to 100% Automated BI
See how UK Greetings reached 100% automated BI reporting and now applies the same governed approach to supply chain modeling.
