This application aims to provide insightful forecasts for ice cream sales, helping buyers make informed decisions.

Ice Cream Imagery: The dashboard prominently features mouthwatering ice cream visual. These evoke positive emotions and align with the product.

Color Palette: Opt for cheerful, pastel colors associated with ice cream (e.g., soft pinks, blues, and yellows). These hues create a delightful user experience.

Clear Sections: Organize the dashboard into logical sections (e.g., daily sales, seasonal trends, popular flavors). Users should quickly find what they need.

Interactive Filters: Allow users to filter data by date range, location, or specific ice cream types. Dropdowns or sliders work well.

Graphical Representations: Use line charts or bar graphs to display projected sales over time. Highlight peak seasons (summer, holidays).

Forecast Accuracy: Include confidence intervals or prediction ranges to convey uncertainty.

Flavor Popularity: Showcase top-selling flavors.

Seasonal Variations: Display flavor preferences based on weather conditions (e.g., hot days favoring fruity flavors).

Weather Data: Integrate real-time weather information (temperature, humidity) relevant to ice cream sales. Users can correlate weather patterns with demand.

Mobile-Friendly: Ensure the dashboard works seamlessly on mobile devices. Ice cream buyers might check forecasts while on the go.

Low Stock Alerts: Notify buyers when specific flavors are running low. Encourage timely restocking.

Special Offers: If a flavor is predicted to sell well, suggest promotions or discounts