For supply chain leaders evaluating AI, the most important question is whether the organization has done the work required to make that model operative in its real environment.

Spot sourcing will always be a reality in the fresh produce industry, but it doesn’t have to be a  budget-breaker.

None of this requires starting from scratch. The data most brands need to compete in an AI-driven world already exists.

In open source, quality improves as more people contribute, and costs go down because no one extracts rent.

Closing the accountability gap requires a system that can keep pace with the technology it’s meant to oversee.

By embracing automation and moving away from manual data entry, logistics teams can transform billing from a cost center into a competitive advantage.

To give their businesses the best chance of navigating the volatility, procurement professionals must prioritize visibility into where logistics and processing exposure sits.

Here are some security and privacy protections that e-commerce companies can establish, maintain, and enforce.

Today, dashboards flag costly return rates, suspicious refund activity, or locations with abnormal behaviors. The insights are helpful, but typically arrive after the fact.

As AI becomes embedded across supply chain operations, companies need to plan for heightened expectations around transparency and governance.