Autonomous AI Agents in Retail Media: Open Systems and Real-World Impact

Speaker: Ameya Gokhale

Room: HC 203

Time: Sun 4:00 pm – 4:30 pm

Format: Lecture (30 Min + Q&A)

Difficulty: Some experience required

Track: Development & Dev Tools

Additional Tags: DevOps, AI / ML

Presenter Location: In-person

Experience: first time speaking

Description:

Autonomous AI agents are shifting from assistive tools to always‑on operators across online retail, reshaping product discovery, programmatic media buying, and seller operations. This session connects agent capabilities to measurable business outcomes, grounding the discussion in documented industry research and real‑world engineering considerations.

The retail AI market is expanding rapidly — from $4.84B in 2021 to a projected $55.5B by 2030 — driven by personalization, automation, and data‑driven optimization. Studies show that personalized experiences significantly influence consumer behavior:

~80% of customers are more likely to buy from brands offering personalization

AI‑driven recommendations influence up to 35% of purchases on major platforms

Conversion lifts of ~15% and average order value increases of up to 20% have been observed

In programmatic advertising, autonomous agents deliver:

Up to 44% lower cost per acquisition

Up to 59% higher conversion rates

Up to 76% reduction in wasted ad spend

Stronger performance from AI‑generated and personalized creatives

At the operations layer, AI assistants improve catalog management, dynamic pricing, governance, and customer support — reducing manual toil and increasing profit margins.

Ameya will emphasize system architecture, automation loops, and observability for Linux‑based production environments, offering engineers a practical understanding of how to build scalable, open, and high‑impact agentic systems.

Target Audience:

Engineers building production‑grade AI systems

DevOps and platform teams

Retail media practitioners

Anyone interested in open, agentic AI architectures