How AI Prevents Supply Chain Disasters Before They Happen
I recently had the pleasure of interviewing Bobby Katoli, CEO of Ceres Technology, on my podcast. Ceres offers a fascinating AI solution that forecasts supply chain delays by product and supplier months in advance.
Bobby explained how a real problem importing coffee inspired him to create Ceres’ proprietary platform Nostradamus. By aggregating diverse data sets and leveraging machine learning, it can predict shipping delays with over 80% accuracy!
We discussed how Ceres is helping global enterprises like McKesson, Dell and Boomi optimize supply chain management through predictive analytics. The use cases range from procurement adjustments to inventory planning and demand forecasting.
Drawing from his diverse background in finance, healthcare analytics and investing, Bobby provided a unique perspective on turning data science into practical business impact. He shared the key challenges overcome, from educating customers on capabilities to refining AI models with real-world feedback.
Bobby’s vision for transforming risk management and planning across industries with AI is compelling. Any supply chain leaders looking for an “unfair advantage” would gain powerful insights from our conversation.
Check out the full episode to hear Bobby’s story of progressing from startup trials to Ceres’ rapid growth. And learn how AI can help your organization achieve supply chain resilience!
Listen to the episode here: https://podcasters.spotify.com/pod/show/burak-buyukdemir/episodes/30-Predicting-the-Future-of-Your-Supply-Chain-with-AI-e2epj9s
Let me know what you think! What topics would you like to hear discussed in future episodes?
