BEYOND GENERATIVE AI

We’ve all experienced use cases of generative AI. Chatbots are most common, providing basic responses to a single question or interaction. The next frontier and source of excitement is AI that uses sophisticated reasoning and interactive planning to autonomously solve complex multi-step problems.

The excitement and significant investments made in agentic AI are supported by its potential to enhance productivity. The interactive nature of agentic AI problem-solving allows platforms using this technology to “reason out” next best actions or make recommendations when relevant or prompted.

The ability to autonomously make decisions, act on those decisions, and adapt its behavior in response to its environment with limited human intervention supports use cases beyond the performance of simple tasks.

Agentic AI uses a four-step process for problem-solving. First, gathering and processing vast amounts of relevant, meaningful data. After perceiving, the next step is reasoning. This is the ability to understand tasks and generate solutions or recommendations. Moving on, the act phase is where the AI executes the defined tasks or plans. Finally, the agentic AI solution can move onto the learning step with an overall goal of continuous improvement, resulting in enhanced models. The ability to adapt and become more effective over time provides businesses with a powerful tool and a competitive advantage when it comes to resource allocation, decision-making, and operational efficiency.

At StayinFront, our mission is to develop cost-effective, easy-to-learn tools that allow companies to Know More, Do More, and Sell More. StayinFront’s Retail Optimization Platform (ROP) transforms organizations by turning vast amounts of data into actionable knowledge and insight. Contact a representative to learn more today.