Allows users to interact with spreadsheets using plain English commands for tasks like data analysis and automation.
Identifies and corrects errors, duplicates, and inconsistencies in datasets automatically.
Uses machine learning models to forecast trends and outcomes based on historical data.
Suggests and creates complex formulas based on user input and data patterns.
Connects to external APIs and databases for live data updates and synchronization.
Enables team collaboration with shared AI insights, comments, and version control.
Generates visual reports and dashboards with drag-and-drop customization options.
Predict future revenues, expenses, and cash flows using AI-driven trend analysis and modeling.
Automate sales report generation and identify performance metrics to optimize strategies.
Track stock levels, predict demand, and automate reordering processes based on AI insights.
Analyze campaign performance data to measure ROI and adjust marketing efforts in real-time.
Group customers based on behavior and demographics using AI clustering techniques for targeted marketing.
Automate expense categorization and reconciliation to streamline accounting processes.
Monitor project timelines, budgets, and resource allocation with AI-powered dashboards.
Process and analyze experimental data sets for statistical significance and visualization.
Handle patient records and clinical data to identify trends and improve healthcare outcomes.
Monitor sales trends, customer behavior, and inventory levels to drive business growth.
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