Data Analysis & Insights: Utilize AI models to analyze large volumes of marketing, social, and booking data to identify trends, patterns, and actionable insights.
Data Cleansing & Normalization: Develop AI-driven data cleansing routines to standardize and normalize data from multiple sources.
ETL Automation: Implement AI-driven ETL (Extract, Transform, Load) processes to streamline data ingestion and transformation workflows.
Natural Language Interaction: Enable AI models to understand and respond to user queries regarding performance, forecasts, and campaign insights.
Predictive Analytics: Build AI models to forecast bookings, occupancy rates, and marketing campaign ROI.
Sentiment Analysis: Leverage AI for social sentiment analysis to understand guest feedback and brand reputation.
Data Orchestration: Develop workflows that automatically integrate new data sources and update machine learning models.
Model Training & Optimization: Continuously train and fine-tune AI models to ensure high accuracy and relevance to the hospitality industry.
Custom AI Tools: Build and maintain AI-based tools for interactive dashboards, reporting, and customer insights.
Data Security & Compliance: Ensure AI processes follow security protocols, industry standards, and data privacy regulations.
Integration with Platforms: Build and maintain integrations with marketing platforms (e.g., Google Analytics, Facebook, OTAs) to ingest new data.
Stakeholder Collaboration: Work closely with business stakeholders to define AI use cases and ensure the models align with business goals.
Continuous Improvement: Monitor AI performance, measure model drift, and make iterative improvements.
Visualization & Reporting: Leverage AI to create automated visual reports and dashboards for stakeholder decision-making.
AI-Driven Alerts: Set up AI-based anomaly detection to alert stakeholders of unusual activity, booking surges, or campaign changes.
Custom Query Handling: Implement AI solutions that allow stakeholders to query business performance in natural language.
Documentation & Knowledge Sharing: Document AI models, workflows, and processes to ensure team collaboration and knowledge transfer.