TL;DR: Learn to build a cross-platform AI-powered Sales Dashboard using Syncfusion® MAUI controls. This guide covers using real-time predictions, smart visualizations, and interactive UIs to create an executive dashboard. It includes integrating AI for sales forecasting and natural language insights, implementing reactive MVVM architecture, and visualizing metrics with charts, maps, gauges, and data grids. Discover how to combine AI with enterprise-grade performance for business-critical decision-making.
In today’s competitive business landscape, data visualization is just the beginning. This week, we’re showcasing an AI sales dashboard built with Syncfusion® MAUI controls that displays data beautifully and leverages AI to predict trends and provide actionable insights.
Syncfusion® offers a powerful suite of MAUI controls that work together to deliver a seamless, high-performance user experience across platforms. Developers benefit from:
When building intelligent dashboards, Syncfusion® goes beyond standard UI. Its MAUI controls are purposely built to meet the needs of AI-integrated applications:
The dashboard uses a robust MVVM architecture with specialized ViewModels for each feature.
public class BaseViewModel : INotifyPropertyChanged
{
public event PropertyChangedEventHandler? PropertyChanged;
protected void OnPropertyChanged(string name) =>
PropertyChanged?.Invoke(this, new PropertyChangedEventArgs(name));
private bool _isBusy;
public bool IsBusy
{
get => _isBusy;
set { _isBusy = value; OnPropertyChanged(nameof(IsBusy)); }
}
}
public class SalesTrendsViewModel : BaseViewModel
{
public ObservableCollection<ProductInfo> ProductInfos { get; set; }
public ObservableCollection<OrderInfo> OrderInfos { get; set; }
public async Task LoadDashboardData()
{
var summary = await _salesDataService.GetSalesSummaryAsync(SelectedDateRange);
TotalRevenue = summary["TotalRevenue"];
ProfitMargin = (double)summary["AverageProfitMargin"];
UpdateDashboardLabelCards();
}
}
public class PredictionViewModel : BaseViewModel
{
public ObservableCollection<SalesPrediction> Predictions { get; } = new();
public async Task GeneratePredictions()
{
var predictions = await _predictionService.GetSalesPredictionsAsync(...);
Predictions.Clear();
foreach (var p in predictions)
Predictions.Add(p);
ConfidenceAverage = Predictions.Average(p => p.Confidence) * 100;
PredictedTotalRevenue = Predictions.Sum(p => p.PredictedRevenue);
}
}
Key features:
The application connects to AI services for predictions and natural language processing.
// base service class
public class AzureBaseService
{
internal const string Endpoint = "YOUR_END_POINT_NAME";
internal const string DeploymentName = "DEPLOYMENT_NAME";
internal const string ImageDeploymentName = "IMAGE_DEPOLYMENT_NAME";
internal const string Key = "API_KEY";
public AzureBaseService()
{
ValidateCredential();
}
public async Task<List<SalesPrediction>> PredictSalesTrend(
List<SalesData> historicalData,
DateRange predictionPeriod)
{
..
}
}
// for sales data service
public class SalesDataService
{
public SalesDataService()
{
LoadSampleData();
}
}
// for prediction data service
public class PredictionService
{
public PredictionService(AzureBaseService baseAIService, SalesDataService salesDataService)
{
_baseAIService = baseAIService;
_salesDataService = salesDataService;
}
public async Task<List<SalesPrediction>> GetSalesPredictionsAsync(
DateRange historicalPeriod,
DateRange futurePeriod)
{
…
}
}
Key features:
The home page gives executives a complete overview of sales performance.
Syncfusion® SfCartesianChart creates a beautiful revenue visualization that transforms complex sales data into a clear, visually appealing trend line. The chart uses a SplineAreaSeries for smooth curves that emphasize the overall revenue pattern while maintaining precise data representation. The gradient fill beneath the trend line adds visual depth, fading from solid at the top to transparent at the bottom, creating an elegant aesthetic that draws attention to high-revenue periods.
<chart:SfCartesianChart>
<chart:SfCartesianChart.XAxes>
<chart:DateTimeAxis />
</chart:SfCartesianChart.XAxes>
<chart:SfCartesianChart.YAxes>
<chart:NumericalAxis/>
</chart:SfCartesianChart.YAxes>
<chart:SplineAreaSeries XBindingPath="Date" YBindingPath="Revenue"
ItemsSource="{Binding SalesData}">
</chart:SplineAreaSeries>
</chart:SfCartesianChart>
The Column Chart visualization shows unit sales with a customizable appearance, clearly representing sales volume over time. Syncfusion® SfCartesianChart with ColumnSeries creates vertical bars that intuitively represent quantity, making it easy to identify periods of high and low sales activity at a glance. The uniform-width columns with consistent spacing help viewers quickly compare quantities across different periods.
<chart:SfCartesianChart>
<chart:SfCartesianChart.XAxes>
<chart:DateTimeAxis/>
</chart:SfCartesianChart.XAxes>
<chart:SfCartesianChart.YAxes>
<chart:NumericalAxis />
</chart:SfCartesianChart.YAxes>
<chart:ColumnSeries XBindingPath="Date" YBindingPath="Quantity"
ItemsSource="{Binding SalesData}"/>
</chart:SfCartesianChart>
Why use Syncfusion Cartesian Chart?
The products page helps managers understand product performance in detail.
The SfCircularChart provides an immediate visualization of product revenue distribution, making it instantly clear which products drive the business. The chart’s interactive capabilities allow executives to isolate specific products by tapping segments or legend items, expanding them for emphasis during presentations.
The flexible legend layout adapts to available space, whether viewed on desktop or mobile, ensuring optimal readability across platforms. Custom color palettes maintain brand consistency while providing sufficient contrast for accessibility.
The tooltip support delivers precise figures on hover/tap, enabling quick access to exact revenue figures without requiring users to reference a separate data table.
<chart:SfCircularChart>
<chart:SfCircularChart.Title>
<Label Text="Top Products" FontSize="16" Style="{StaticResource labelStyle}" Margin="5,5,0,0"/>
</chart:SfCircularChart.Title>
<chart:DoughnutSeries ItemsSource="{Binding Products}"
XBindingPath="Name" YBindingPath="BasePrice"/>
</chart:SfCircularChart>
Advantages of Syncfusion CircularChart
In our dashboard, SfMaps visually correlates sales performance with geography, allowing executives to identify instantly:
The map’s custom markers dynamically reflect sales volume, with larger markers indicating higher revenue regions. This visualization makes it immediately apparent which global markets are driving business growth and which need additional focus, insights that would be difficult to discern from tabular data alone.
<map:SfMaps>
<map:SfMaps.Layer>
<map:MapShapeLayer ShapesSource="https://cdn.syncfusion.com/maps/map-data/world-map.json" Markers="{Binding MapMarkerCollection}"
ShapeHoverFill="Transparent" ShapeHoverStroke="Transparent">
</map:MapShapeLayer>
</map:SfMaps.Layer>
</map:SfMaps>
Why SfMaps stands out
The products page features a comprehensive inventory grid powered by Syncfusion® SfDataGrid, delivering detailed product information with advanced visualization capabilities. The grid effectively showcases complex data types, combining product images for easy visual identification and an embedded rating control for quick quality assessment, all without navigating away from the main view.
Stock levels and availability are communicated through numeric values and intuitive icons. Optimized for performance, the grid supports smooth browsing of thousands of products using virtualization and efficient pagination, with platform-aware page sizes that scale appropriately for desktop and mobile experiences.
<dataGrid:SfDataGrid ItemsSource="{Binding ProductPagedItems}"
HorizontalScrollBarVisibility="Always"
VerticalScrollBarVisibility="Always"
AutoGenerateColumnsMode="None" SortingMode="Single" HeaderGridLinesVisibility="Both" GridLinesVisibility="Both" ColumnWidthMode="Fill">
<dataGrid:SfDataGrid.Columns>
<dataGrid:DataGridTemplateColumn Width="70">
<dataGrid:DataGridTemplateColumn.HeaderTemplate>
<DataTemplate>
<buttons:SfCheckBox IsChecked="True" CheckedColor="#6750A4" Margin="7,0,0,0"/>
</DataTemplate>
</dataGrid:DataGridTemplateColumn.HeaderTemplate>
<dataGrid:DataGridTemplateColumn.CellTemplate>
<DataTemplate>
<buttons:SfCheckBox IsChecked="True" CheckedColor="#6750A4" Margin="7,0,0,0"/>
</DataTemplate>
</dataGrid:DataGridTemplateColumn.CellTemplate>
</dataGrid:DataGridTemplateColumn>
…..
</dataGrid:SfDataGrid.Columns>
</dataGrid:SfDataGrid>
SfDataGrid presents order data with rich visual cues, including product images and color-coded status indicators. The column configuration provides a clean, organized view of critical order information with proper formatting for currency values.
The grid supports touch interaction on mobile devices while maintaining advanced features like sorting and filtering. Row virtualization ensures smooth performance even with thousands of orders, and the responsive layout adapts to different screen sizes for optimal viewing on any device.
With SfDataGrid’s paging support, users can navigate large order datasets using the intuitive paging controls at the bottom. The customizable page sizes are automatically adjusted based on device type for the best viewing experience.
<dataGrid:SfDataGrid ItemsSource="{Binding OrderInfos}" HorizontalScrollBarVisibility="Always" VerticalScrollBarVisibility="Always AutoGenerateColumnsMode="None" SortingMode="Single" HeaderGridLinesVisibility="Both" GridLinesVisibility="Both" ColumnWidthMode="Fill">
<dataGrid:SfDataGrid.Columns>
<dataGrid:DataGridTemplateColumn Width="60">
<dataGrid:DataGridTemplateColumn.HeaderTemplate>
<DataTemplate>
<buttons:SfCheckBox IsChecked="True" CheckedColor="#6750A4" Margin="7,0,0,0"/>
</DataTemplate>
</dataGrid:DataGridTemplateColumn.HeaderTemplate>
<dataGrid:DataGridTemplateColumn.CellTemplate>
<DataTemplate>
<buttons:SfCheckBox IsChecked="True" CheckedColor="#6750A4" Margin="7,0,0,0"/>
</DataTemplate>
</dataGrid:DataGridTemplateColumn.CellTemplate>
</dataGrid:DataGridTemplateColumn>
……..
</dataGrid:SfDataGrid.Columns>
</dataGrid:SfDataGrid>
SfDataGrid’s advanced capabilities
The Predictions page demonstrates how AI and visualization work together to forecast future performance.
The SfRadialGauge transforms complex AI confidence scores into an easy-to-understand visual meter. Its color gradient provides instant feedback on prediction reliability, red for low confidence, yellow for moderate, and green for high. The animated needle points to the exact confidence percentage, making it simple for executives to assess how much trust to place in the AI’s forecasts.
<gauges:SfRadialGauge>
<gauges:SfRadialGauge.Axes>
<gauges:RadialAxis Minimum="0" Maximum="100" ShowLabels="False" ShowTicks="False">
<gauges:RadialAxis.AxisLineStyle>
<gauges:RadialLineStyle Thickness="3"/>
</gauges:RadialAxis.AxisLineStyle>
<gauges:RadialAxis.Pointers>
<gauges:NeedlePointer Value="{Binding ConfidenceAverage}" NeedleLength="0.6" NeedleStartWidth="0.5" NeedleEndWidth="2" NeedleFill="Black" KnobRadius="0.07" KnobFill="Black"/>
<gauges:RangePointer Value="{Binding ConfidenceAverage}" PointerWidth="3" EnableAnimation="True" CornerStyle="BothCurve">
<gauges:RangePointer.GradientStops>
<gauges:GaugeGradientStop Value="0" Color="#F44336" />
<gauges:GaugeGradientStop Value="50" Color="#FFC107" />
<gauges:GaugeGradientStop Value="100" Color="#4CAF50" />
</gauges:RangePointer.GradientStops>
</gauges:RangePointer>
</gauges:RadialAxis.Pointers>
</gauges:RadialAxis>
</gauges:SfRadialGauge.Axes>
</gauges:SfRadialGauge>
Why Syncfusion® SfRadialGauge is Superior
The prediction chart visualizes AI forecasts with confidence intervals, providing a comprehensive view of projected revenue alongside statistical uncertainty. Syncfusion® SfCartesianChart excels at representing this complex predictive data through its multi-series capability, allowing decision makers to understand the expected outcomes and the range of possibilities.
The chart displays three critical components of AI forecasting: The primary prediction line (showing expected revenue) and two boundary lines representing the upper and lower confidence bounds. This visualization helps business leaders understand the prediction and its reliability over time. The dashed lines for boundaries create a visual “channel” of possibilities, instantly communicating where uncertainty is higher (wider bounds) or lower (narrower bounds).
<chart:SfCartesianChart>
<chart:SfCartesianChart.XAxes>
<chart:DateTimeAxis/>
</chart:SfCartesianChart.XAxes>
<chart:SfCartesianChart.YAxes>
<chart:NumericalAxis/>
</chart:SfCartesianChart.YAxes>
<chart:LineSeries ItemsSource="{Binding Predictions}"
XBindingPath="Date"
YBindingPath="PredictedRevenue"
Label="Predicted Revenue"/>
<chart:LineSeries ItemsSource="{Binding Predictions}"
XBindingPath="Date"
YBindingPath="LowerBound"
Label="Lower Bound" />
<chart:LineSeries ItemsSource="{Binding Predictions}"
XBindingPath="Date"
YBindingPath="UpperBound"
Label="Upper Bound"/>
</chart:SfCartesianChart>
The Syncfusion® SfAIAssistView creates a conversational interface to data, transforming the dashboard from a passive display into an interactive AI-powered analyst. This revolutionary control brings natural language capabilities to business intelligence, allowing users to ask questions about their data in plain English rather than learning complex query languages or chart interactions.
With SfAIAssistView, executives can type questions like “Which product had the highest sales growth last quarter?” or “Show me the trend for smartphone sales in Europe,” and receive instant, contextual responses. The assistant understands business terminology and can interpret vague requests, translating them into precise data queries behind the scenes.
<aiassistview:SfAIAssistView Request ="aiAssistView_Request"
AssistItems="{Binding Messages}" Suggestions="{Binding Suggestions}">
…..
</aiassistview:SfAIAssistView>
After executing the above code, the output will be as shown below.
For more details, refer to the GitHub demo.
Thanks for reading! In this blog, we explored how to build an AI Sales Dashboard using the Syncfusion® .NET MAUI Toolkit. We encourage you to follow the steps outlined in this guide and share your feedback in the comments section below.
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