Decision Intelligence Mechanism for Enhancing Strategic Business Performance
Year: 2026
Type: conference-paper
Abstract: Decision Intelligence is a combination of artificial intelligence, machine learning, and analytics that can help convert information into strategic business decisions NexStrat AI This research proposes a mechanism that takes advantage of the Reinforcement Learning (RL) machine learning algorithm that takes the trial and error interactions between the agent and its environment along with the advanced analytical capabilities of Power BI for closed-loop interactive decision making. The framework utilizes RL algorithms to help optimize the sequential business decisions in supply chain, operations and customer interactions while Power BI provides their AI-based analytics, real-time data processing and automated insights through features like Copilot and natural language queries. This way, organizations can navigate not only from reactive to proactive decision-making, by centralizing the data to make real-time suggestions and automating the decision-making processes in the day-to-day. The system operates on the three levels - decision support with human supervision, decision augmentation with AI suggestions and decision automation in defined parameters. Implementation proves less operational cost, productivity improvements and continuous improvements in performance in form of self-learning capabilities. Results include ability of being more strategic while running, response time improves etc. and able to be more intelligent in the competition if they know the data.
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W7225154653