Is It Time to Add AI to Your Commodity Insights?
Over the last few years, we’ve seen artificial intelligence (AI) being used for a host of procurement applications, from spend analysis to supplier risk monitoring. Now, the same technology is increasingly being applied to commodity forecasting.
In the right situation, this can provide invaluable insights. AI makes it possible to look at larger, more complicated data sets over a longer period of time, helping to improve the accuracy of predictions and supercharge decision-making, near real-time.