Welcome to International Conference on Artificial Intelligence for Business, Economics, and Sustainable Transformation (icAI4BEST2026)

Call for Papers

Call for Papers

Submissions of original research contributions are invited from researchers, academicians, research scholars, industry professionals, and policymakers worldwide, with a focus on the rapidly evolving intersection of artificial intelligence with business management, economics, finance, sustainability, and related disciplines.

The topics of the conference include, but are not limited to the following:

Track-1: AI in Business Strategy and Management
  • AI-Augmented Strategic Planning, Competitive Intelligence, and Market Positioning
  • Intelligent Human Resource Management and Workforce Analytics
  • AI-Driven Business Process Automation and Operational Efficiency
  • Digital Transformation, Change Management, and Enterprise AI Adoption
  • Corporate Governance, Risk Management, and AI-Based Compliance Monitoring
  • Predictive Business Intelligence and Real-Time Performance Analytics
  • Knowledge Management Systems and Organizational Decision-Making Frameworks
Track-2: AI in Finance and Economics
  • Machine Learning for Macroeconomic Forecasting and Policy Simulation
  • AI-Based Asset Valuation, Portfolio Optimization, and Risk Assessment
  • Algorithmic Trading, High-Frequency Markets, and Market Microstructure Analytics
  • Credit Scoring, Default Prediction, and AI-Driven Lending Decision Systems
  • Financial Fraud Detection and Anti-Money Laundering (AML) Intelligence
  • Behavioral Economics and AI: Modeling Cognitive Biases in Financial Decision-Making
  • Central Bank Digital Currencies (CBDCs) and AI-Informed Monetary Policy
Track-3: Sustainable Development and ESG Analytics
  • AI-Powered Environmental, Social, and Governance (ESG) Scoring and Reporting
  • Machine Learning for Carbon Accounting, Emissions Tracking, and Net-Zero Strategy
  • Climate Risk Modeling and Financial Materiality Assessment for Corporations
  • Circular Economy Analytics: Waste Reduction, Resource Efficiency, and Closed-Loop Systems
  • UN SDGs: AI-Driven Progress Monitoring and Gap Analysis
  • Green Finance, ESG Investment Intelligence, and Sustainability-Linked Instruments
  • Responsible AI Governance: Ethical Deployment, Bias Auditing, and Fairness Frameworks
Track- 4. AI-Driven Marketing and Consumer Intelligence
  • Deep Learning-Based Consumer Behavior Modeling and Preference Prediction
  • Sentiment Analysis, Brand Monitoring, and Social Media Intelligence
  • Hyper-Personalization Engines: Recommendation Systems and Dynamic Pricing Models
  • Generative AI for Creative Content Production and Adaptive Campaign Management
  • Customer Lifetime Value (CLV) Prediction and Churn Analytics
  • Omnichannel Marketing Optimization and Attribution Modeling
  • Neuromarketing and Affective Computing in Consumer Experience Design
  • AI-Powered Market Segmentation, Targeting, and Positioning Analytics
  • Voice Search, Conversational AI, and Chatbot-Driven Customer Engagement
  • Privacy-Preserving Marketing Analytics: Federated Learning and Differential Privacy
Track- 5: Supply Chain and Operations Optimization
  • AI-Driven Demand Forecasting, Inventory Management, and Replenishment Automation
  • Intelligent Logistics, Route Optimization, and Last-Mile Delivery Analytics
  • Predictive Maintenance and Asset Health Monitoring in Industrial Operations
  • Smart Manufacturing, Industry 4.0, and AI-Integrated Production Systems
  • Digital Supply Chain Twins: Simulation, Scenario Planning, and Optimization
  • Sustainability-Oriented Operations: AI for Green Logistics and Emission Reduction
Track-6: Entrepreneurship and Innovation Ecosystems
  • AI as an Enabler of Startup Formation, Ideation, and Business Model Innovation
  • Venture Capital Intelligence: Deal Sourcing, Due Diligence, and Portfolio Management
  • AI-Powered Patent Analytics, Intellectual Property Strategy, and R&D Prioritization
  • Entrepreneurial Decision-Making under Uncertainty: AI-Augmented Risk Profiling
  • AI and the Future of Work: Reskilling, Upskilling, and Human-AI Collaboration
  • Frugal Innovation and AI-Driven Solutions for Emerging Markets
Track-7: AI in FinTech
  • AI-Powered Payments Infrastructure: Real-Time Settlement and Fraud Prevention
  • Robo-Advisory Systems, Automated Wealth Management, and Retail Investment Platforms
  • Decentralized Finance (DeFi), Smart Contracts, and AI-Augmented Blockchain Applications
  • RegTech: AI-Driven Regulatory Compliance and Reporting Automation
  • InsurTech: Underwriting Automation, Claims Intelligence, and Risk Personalization
  • Digital Lending, Peer-to-Peer Finance, and Alternative Credit Scoring
  • Financial Inclusion and AI-Enabled Access to Banking for Underserved Populations
Track-8: Cross-Cutting AI Methodologies in Business, Economics, and Sustainability
  • Large Language Models (LLMs) and Generative AI for Business Intelligence and Reporting
  • Explainable AI (XAI) for Accountable and Auditable Business Decision Systems
  • Federated Learning and Privacy-Preserving Analytics in Financial and Commercial Contexts
  • Multi-Agent Systems for Market Simulation, Negotiation, and Mechanism Design
  • Graph Neural Networks for Financial Network Analysis and Systemic Risk Modeling
  • AI Regulation, Policy Frameworks, and the Ethics of Algorithmic Decision-Making in Business
  • Human-AI Teaming: Augmented Intelligence in Strategic and Operational Contexts
  • Data Governance, AI Auditing, and Organizational Readiness for Responsible AI Deployment

Important Dates

Submission due: 31/07/2026
Acceptance Notification: 30/09/2026
Camera Ready Paper Submission due: 31/10/2026
Last date of registration: 31/10/2026
Conference dates: 27-28/11/2026