dotnet presents a walkthrough of building an AI-powered sales dashboard with .NET MAUI and Azure OpenAI, sharing practical insights for developers on predictive analytics and responsive UIs.

Architecting an AI-Powered Sales Dashboard with .NET MAUI and Azure OpenAI

Presented by dotnet at .NET Conf 2025

Overview

This session demonstrates how to design and implement an AI-powered sales dashboard application for multiple platforms (Windows, Android, iOS, and macOS) with .NET MAUI and Azure OpenAI (GPT-5). The app delivers interactive business analytics and responsive real-time visualizations.

Key Features

• Platform Coverage: Build once, deploy to desktop and mobile platforms using .NET MAUI.
• Syncfusion Controls: Employ high-performance charts, gauges, and maps for revenue, product, and regional analytics.
• GPT-5 Integration:
  • Leverage GPT-5 for daily sales predictions, generating confidence intervals, and flagging anomalies in business metrics.
  • Enable an in-app assistant for natural language queries, allowing users to explore dashboard insights conversationally.
• MVVM Architecture:
  • Implement MVVM for reactive data binding and maintainable code structure in .NET 9.
• Real-Time Visualizations:
  • Demonstrate live updating charts and dashboards, showcasing immediate feedback for analytics and forecasts.

Technical Stack

• .NET MAUI: Unified framework for building cross-platform UIs.
• Azure OpenAI Service: Cloud APIs for GPT-5 models powering predictive analytics and NLP assistant.
• Syncfusion: Commercial UI controls optimized for performance and interactivity.
• MVVM Pattern: Ensures scalable and maintainable codebase.
• .NET 9: Leverages the latest language features and performance improvements.

Implementation Insights

• Cross-Platform UI Performance: Strategies for smooth user experiences on all supported devices.
• Architecting with MVVM: How to structure apps for robust data flows and reactive updates.
• Integrating Azure OpenAI: Secure communication with GPT-5, managing API calls for prediction and query handling.
• Interactive Dashboards: Techniques for designing user-friendly, visually engaging analytics tools.

Developer Takeaways

• How to architect scalable, intelligent business dashboards with modern Microsoft technologies.
• Best practices for integrating AI capabilities and building natural language assistants.
• Real-world lessons from overcoming technical challenges in cross-platform business app development.

Watch the full session and related videos: .NET Conf 2025 playlist