About
Yedidya is Quicklizard’s CTO with over 14 years of experience in software development, specializing in backend, DevOps, and infrastructure leadership. He leads the engineering initiatives behind our modular enterprise infrastructure, enabling the processing of billions of data points while ensuring seamless integration across complex retail environments.
As AI agents begin shopping on consumers’ behalf, retail competition is changing. Discover why machine-readable data, real-time pricing, and value will determine which products agents choose.
LCP gives AI agents a way to discover and verify transaction terms, raising the bar for retailers to make dynamic pricing equally transparent, traceable, and defensible.
Discover how Model Context Protocol (MCP) is transforming pricing intelligence by enabling AI agents to securely access data, execute workflows, and turn insights into action beyond traditional dashboards.
Explore why pricing data fidelity is becoming the foundation of trust, visibility, and conversion in the age of agentic commerce.
Explore why pricing data fidelity is becoming the foundation of trust, visibility, and conversion in the age of agentic commerce.
Google’s UCP shifts e-commerce from clicks to AI-driven transactions powered by high-quality data.
OpenAI’s checkout pause gives retailers a rare advantage: keeping the final purchase, customer data, and loyalty relationship in their own hands.
Google’s UCP brings agent-led shopping into the mainstream, shifting retail from search to in-assistant purchasing and raising new risks around pricing and margin control.