AI & ML technology integrations provide broad advantages for supply chain management. 

How do we solve the problem of obsolete electronic components in the aviation and defense industry?

Tom Moore and Keith Moore, CEOs of, respectively, ProvisionAi and Autoscheduler.AI, talk about how AI is helping to solve problems in supply chains — and where it's more a matter of hype.

Collaborative planning, forecasting and replenishment (CPFR) has to involve both suppliers upstream and customers downstream, says Noha Samara, senior director analyst with Gartner.

Like it or not, spreadsheets are still the go-to planning software in the supply chain industry. 

By harnessing AI for activities such as load optimization, route planning, predictive analytics and dynamic scheduling, businesses can start to find ways to trim their carbon footprint.

Leaders also said they've struggled to hire and retain skilled supply chain-focused workers in the last two years. 

As we’ve seen over the last few years, planning and forecasting alone haven’t been enough to deal with the delays and shortages rippling through global supply chains.

The Elon Musk-owned EV company handed over less than 387,000 cars in the first three months of 2024, down 8% year-over-year.