WEBINAR: The Real ROI of AI Analytics: Better Questions, Trusted Answers, Measurable Results

Supply chain leaders have more data than ever, spread across procurement, planning, logistics, and finance. Much of that data is also exchanged with a wide network of suppliers, carriers, and partners, where even a wrong number can create real commercial risk. Yet many AI initiatives still struggle to show a provable return because the tools are only as good as the fragmented data beneath them.

Adding an AI tool is easy. Changing how a business uses and trusts its data is harder, and that is where the real value sits.

Hosted by Scott Luton and Kim Reuter of Supply Chain Now, this session features Amra Dorjbayar of Actian and Jan Fransoo of Tilburg University. Together, they will separate what genuinely moves the needle from what merely sounds good, drawing on real-world deployments.

The conversation includes a customer rollout used every week for months: data usage nearly doubled once it became easier to access, while automation eliminated several days of manual work for finance each month and gave analysts more time to focus on insights. The session also offers an honest look at what it takes to build trust in data and deliver measurable ROI.

What You Will Learn:

• How to judge AI analytics based on business outcomes, not demo polish

• The difference between a plausible answer and one the business can confidently stand behind

• Where lean teams can get time back, with realistic results from a live customer deployment

• What needs to be true about data and governance before data usage can grow safely