• 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

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