Supply Chain Council of European Union |

Next Gen Supply Chain Prediction: Increased “Operationalization” of AI/ML Yields Business Value

By ·

The data explosion is at its peak and becoming more mainstream across all industries – the supply chain is no exception, maintains Dr. Madhav Durbha, Group Vice President of Industry Strategy at LLamasoft, a leading provider of enterprise supply chain design technology.

He predicts that Artificial Intelligence (AI) and Machine Learning (ML) will move beyond its current “hype cycle” next year to offer more tangible use cases that deliver real business value.

Below are a few examples of AI applications that will take off in 2020:

  • Predicting Volatile Order Patterns: AI and ML will give companies the ability to predict less stable, highly volatile order patterns from customers. The supplier community is seeing increased volatility in demand signal due to an uptick in order volumes from leading online retailers. Predictability with the ordering is a challenge a significant challenge and AI models perform at much more optimal levels in these situations.
  • Market Sensing: AI can help harness the power of external causal data such as weather, GDP, CPI, employment levels, and industrial production. Furthermore, it can serve as a better predictor of markets shifts and demand drivers, bringing better sensory capabilities into the supply chain, product portfolio, capital expenditure decisions, and long term strategic and capacity planning.
  • Chargeback Reduction: Retailers charge hefty penalties to brand owners for missed OTIF (On Time in Full) deliveries. Deep learning algorithms allow sifting through key shipment data including order types, times, quantities, locations and transportation modes to identify root causes for chargebacks and predict points of failure.

Rise of Digital Twin to Tackle the “Never Normal”

With the rise of cloud and algorithmic intelligence, digital representations of a supply chain no longer needs to be a patchwork of models for sourcing, manufacturing, distribution, etc. Instead, a living model of a supply chain can be digitally rendered and real world events can be simulated to predict outcomes and actions for decisioning. A new breed of digital platforms capable of this virtual representation has emerged to help organizations cope with the “never normal” business environment.

“Built with cloud computing and marketing sensing capabilities, these platforms offer unprecedented speed and scale coupled with the power of advanced algorithms to help companies predict and plan for rapid market shifts,” contends Dr. Durbha.

More of his 2020 predictions tomorrow.


About the Author

Patrick Burnson, Executive Editor

Patrick Burnson is executive editor for Logistics Management and Supply Chain Management Review magazines and web sites. Patrick is a widely-published writer and editor who has spent most of his career covering international trade, global logistics, and supply chain management. He lives and works in San Francisco, providing readers with a Pacific Rim perspective on industry trends and forecasts. You can reach him directly at [email protected]

Subscribe to Supply Chain Management Review Magazine!

Subscribe today. Don’t Miss Out!
Get in-depth coverage from industry experts with proven techniques for cutting supply chain costs and case studies in supply chain best practices.
Start Your Subscription Today!

Related posts

Local businesses impacted by supply chain issues ahead of holiday weekend | News


Is Forced Uighur Labour in Your Supply Chain? | BoF Professional, China Decoded


Supply chain issues put Buchanan concrete work on hold