How to do it – people and process. The importance of sensing demand and customer segmentation, and the role of AI in enabling this.
Recent Posts by Patrick Smith
Evolving to Intelligent Order Promising – No Time like the Present
on January 6, 2021
| By Patrick Smith
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Intelligent Order Promising
As we start the new year, many people often reflect on the past year. What went well, what do we need to do different.
Crossing the Great Forecasting Divide Part 2 – Consumption Sensing is New Forecasting Frontier
on May 14, 2020
| By Patrick Smith
In my last post, I focused on how retailers and consumer products companies can triage through the worst of the COVID pandemic as consumers were adjusting to a stay-at-home lifestyle. I discussed using a hybrid model of humans and AI/ML-based approaches, delivering science-as-a-service, to bridge the gap and react quickly to the dramatic swings in demand.
Crossing the great forecasting divide – make the transition with manual processes and AI/Machine Learning
on April 21, 2020
| By Patrick Smith
It is true – forecasts from existing demand planning systems, built largely on historical data, will be significantly off, both during and after the pandemic. To quote Yogi Berra, “It’s tough to make predictions, especially about the future.” And right now, we are experiencing an event that hasn’t happened since 1918 providing very little historical experience to draw upon.
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