pathoori.ai / Research Concept
JICRCR (Scopus Q2) · 2025 Peer-Reviewed 📄 View Paper ← Portfolio
📄 JICRCR — Scopus Q2 Indexed · Peer-Reviewed

AI-Augmented Business Intelligence: A New Framework for Enterprise Decision Systems

This paper introduces the Prescriptive AI Decision Engine — a framework that moves enterprise BI beyond descriptive and predictive analytics into prescriptive action recommendations with confidence scores. Deployed at a Fortune 500 FMCG enterprise, the framework achieved 45% demand forecasting accuracy gain, 38% inventory turnover improvement, and $3M direct revenue increase by embedding prescriptive intelligence into existing BI dashboards.

Framework: Prescriptive AI Decision Engine
Institution: Fortune 500 FMCG Enterprise / Global Clients
DOI: 10.5281/zenodo.18635996
ORCID: 0009-0000-2999-8263
45%
Forecasting Accuracy Gain
38%
Inventory Turnover Improvement
$3M
Revenue Increase
100%
Open-Access Tool
Research Framework Visualizations
Primary Analysis
Secondary Analysis
Distribution / Composition
Trend Analysis
Enterprise Adoption / Impact
Framework Architecture
01
Prescriptive Intelligence Layer
Extends traditional BI from describing and predicting to prescribing: each insight is paired with a recommended action and confidence score. Eliminates analyst interpretation latency — decisions are embedded in the dashboard itself.
Prescriptive · Confidence Scores · Action-First
02
Enterprise Decision Graph
Maps interdependencies across supply chain, pricing, production, and distribution. Cascading optimization identifies second-order effects of decisions — e.g., how a pricing change in Southeast affects Midwest warehouse inventory.
Decision Graph · Cascade Optimization · Power BI
03
Open-Access Research Tool
The BYOD implementation at pathoori.ai allows any researcher, analyst, or organization to test prescriptive BI on their own supply chain data — free, browser-based, with no server dependency.
BYOD · pathoori.ai · Open Access
Cite This Research
Pathoori, M. R. (2025). AI-augmented business intelligence: A new framework for enterprise decision systems. JICRCR (Scopus Q2). https://doi.org/10.5281/zenodo.18635996
DOI: https://doi.org/10.5281/zenodo.18635996
ORCID: https://orcid.org/0009-0000-2999-8263
Test this framework live: pathoori.ai ↗