Supply chain modeling used to take months, dozens of handoffs, and a small army of specialists to get a single recommendation to leadership — by which point conditions had already changed. In this session, Neeru Bhopal from Optilogic's Product Management team introduces Ada, Optilogic's agentic AI built specifically for supply chain design, and shows what it looks like to go from raw, messy data to a board-ready analysis in a single session instead of twelve weeks.

Rather than just describing Ada's capabilities, Neeru puts them to the test live: rebuilding a real multi-echelon network from scratch, then using that model to analyze a tariff and shipping disruption scenario in real time.

What you'll see:

• Why legacy tools are causing supply chain teams to stall on decisions and leave value on the table
• What sets Ada apart — AI, optimization, and digital twin simulation working together
• Ada's five core skills: data cleansing, model building, scenario testing, insights, and continuous design
• How to work with Ada day-to-day, including its conversational styles and Plan/Explore modes
• A full live build: raw data to validated model in one day, with Ada catching and fixing issues along the way
• Scenario analysis in action, from tariff sensitivity sweeps to auto-generated executive and modeler reports
• What's next on Ada's roadmap, including file attachments, custom skills, and MCP connectors

Whether you're new to agentic AI or already building models in Cosmic Frog, this session gives you a practical look at how Ada can compress weeks of analysis into minutes.