Agentic commerce: a new marketplace, a new buyer
Building the essential groundwork for enterprises to compete, retain share, and find new opportunities in a future where AI agents make purchasing decisions.
The agentic layer and its associated protocols will live between the buyer and the seller, adding a layer of abstraction that significantly reduces hard-earned direct consumer influence.
Agent-first discovery mechanisms require brands to rethink their entire search and digital visibility strategies.
Many enterprises lack structured data and protocol strategies that make their offerings machine-readable and agent-targeted.
AI agents optimize for objective attributes, one of the most powerful being price. This will lead to a dramatic shift in how companies approach pricing strategies.


Structuring product and service metadata to ensure purchase agents rank offerings favorably.
Predicts and adjust pricing based on competitive agentic purchase parameters, through methods including promotions, TPR, or absolute pricing strategies.
Simulations help brands anticipate and test performance in agent-led commerce ecosystems.
Ensuring e-commerce and digital storefronts are optimized for purchasing agents to enable prioritized product selection and transaction.
Product discovery within voice assistants, chat-based commerce, and AI-powered search engines.
Dynamically adjusts pricing based on agent-driven purchasing behavior.
Optimizes enterprise workflows to interact effectively with AI-powered buyers
Structures product, pricing, and brand data for machine interpretability.




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Amir Ouki
Amir leads Applied AI at BOI, leading global teams to build transformative solutions for the world’s most ambitious businesses. A passionate problem-solver, he focuses on KPI-led innovation and has launched products with Anthropic, Apple, Netflix, Palantir, Google, Twitch, Bank of America, and more.
Why partner with BOI
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