Building Alfred, the Orchestration Layer for Agentic Commerce at Loblaws // Mefta Sadat
Speaker

Mefta Sadat is a Staff Software Engineer, ML Platform at Loblaw Digital in the Greater Toronto Area, specializing in building scalable, data and ML-driven distributed systems. He's currently focused on building tooling around agentic systems.
At Loblaw Digital, he spearheaded the Helios Recommendation Engine, a key MLOps solution that personalizes shopping experiences across PC Express, PC Optimum, and other Loblaw apps. He holds a Master of Science in Computer Science from Toronto Metropolitan University.
SUMMARY
Developing AI agents for shopping is just the first step; the real challenge is reliably running them in production across complex, mission-critical e-commerce systems—a significant MLOps hurdle. In this talk, we'll talk about Alfred, our agentic orchestration layer. Built with tools like Langgraph, LangFuse, LiteLLM, and Google Cloud components, Alfred is the critical piece that coordinates LLMs with our entire e-commerce backend—from search and recommendations to cart management. It handles the complete execution graph, secured tool calling, and prompt workflow. We’ll share our journey in designing a reusable agent architecture that scales across all our digital properties. We’ll discuss the specifics of our tech stack and productionization methodology, including how we leveraged the MCP framework and our existing platform APIs to accelerate development of Alfred.

