Head of AI

Emre Erdogan

Leads AI research at Replenit, focused on Theory of Mind for Retail and the reasoning that powers autonomous customer-lifecycle decisions.

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Glossary entries by Emre

Reasoning Layer · Retail AI

AI Decision Engine

An AI Decision Engine is the reasoning layer that sits above a retailer's data and execution stack and outputs, per customer and continuously, the next best commercial move, with its rationale attached.

Decisioning · Retail AI

AI Decisioning

AI Decisioning is the use of AI to determine what should happen next for a customer in a lifecycle workflow. Traditional AI decisioning platforms decide for a micro-segment; 1:1 AI Decisioning decides for a single customer.

Methodology · Customer Reasoning

Theory of Mind for Retail

Theory of Mind for Retail is Replenit's methodology for modeling each customer's intent, beliefs, and likely next move, then deciding the commercial action that fits, the way an attentive human merchant would.

Output Unit · Retail AI

Golden Decision Event

A Golden Decision Event is Replenit's execution-ready output unit. It packages a 1:1 customer decision (what should happen, for which customer, why now, with which product, in which tone, toward which commercial outcome) as a portable, inspectable JSON structure ready to fire into any CRM, CDP, or marketing-automation platform.

Capabilities · Domain Judgment

Skills

In Replenit, Skills are category-specific commercial capabilities Maestro applies to a decision, the way a seasoned category merchant would. A Skincare Regimen Planner Skill lets Maestro reason like a skincare expert; a Cosmetic Routine Builder Skill lets it build routines like a beauty advisor.

Memory · Retail AI

Golden Memory

Golden Memory is Replenit's persistent, enriched understanding of every customer, product, and brand, updated continuously as new events arrive. It is the layer that lets Maestro maintain continuity between decisions instead of treating each event as isolated.