Agentic AI refers to AI systems that can autonomously make decisions and act to achieve specific goals with minimal human intervention. Unlike generative AI, agentic capabilities are rooted in those that would typically require an action. Rather than an arduous manual review of all the information and even more manual decisions, Agentic AI can execute an order automatically after a quick confirmation within the system’s architecture. These systems perceive, plan and execute actions independently, exhibiting a degree of autonomy and goal-driven behavior. They can learn and adapt to new situations, improving their performance over time.

An AI agent is an intelligent helper made of code. It notices what is happening, decides on the best next step for a goal and then does that step by itself. It is often used interchangeably with agentic AI in discussions, but the agent is the personification of the activity itself.

Retail Ray is the name of invent.ai’s primary agent. Think of him as your intelligent co-pilot built to detect, decide and act across retail planning and operations. He’s engineered to think with retail logic, execute with precision and adapt over time.

He doesn’t wait for you to ask. He monitors what matters, learns from real results and acts autonomously or in collaboration with your team. Retail Ray watches, learns and acts. Unlike dashboards that require human interpretation, Retail Ray identifies what matters and acts on it—autonomously or with your input. Something going awry? Retail Ray will know, get your attention, make decisions as needed and help you make the fewest possible manual changes to achieve your largest revenue targets. 

No. Retail Ray amplifies them. He handles the repetitive issues that are bogging your team down, but he also offers a level of foresight and decisioning on complex matters that humans just can’t do. He delivers clarity and insight in one go. And every recommendation comes with the reasoning behind it. The result? Faster decisioning, every time. ​

You can. He offers explainability and override controls so you stay in control, always. It works as a trusted partner, not a black box.

Clients typically see measurable revenue and margin lift in under 90 days. Because our agents learn from actual data—not static rules—they accelerate time to value. Plus, our team is continuously working with you to drive the results even faster and more strongly once your data is connected.

We don’t just talk about agentic AI, and we certainly haven’t gone out to find a white-label solution to stick on top of our architecture. We’ve built it for retailers, well before it was trendy. Our system is already relied on by top retailers, embedded in real workflows and backed by a continuously evolving retail-specific knowledge base.