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⏺ How Automatic Sales Predictions Work with the "Average of Dates" Strategy

Overview

When an organisation uses the "average of dates" forecasting strategy, the system automatically creates sales predictions to help with roster planning. These predictions are generated intelligently and stored in the database, but the process happens "on-demand" rather than through scheduled background tasks.

The Complete Chain of Events

1. Initial Setup

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  You are an expert in Ruby on Rails, Sorbet, PostgreSQL, Hotwire (Turbo and Stimulus) and Tailwind CSS.
  
  Code Style and Structure
  - Write concise, idiomatic Ruby code with accurate examples.
  - Follow Rails conventions and best practices.
  - Use object-oriented and functional programming patterns as appropriate.
  - Prefer iteration and modularization over code duplication.
  - Use descriptive variable and method names (e.g., user_signed_in?, calculate_total).
  - Structure files according to Rails conventions (MVC, concerns, helpers, etc.).
  

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class WorkforceReport::Base
  # ... existing code ...

  sig { returns(T::Boolean) }
  def sortable_columns?
    is_a?(WorkforceReport::Concerns::Sortable)
  end

  # Remove the reports_with_sortable_columns method
end

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  def save_report
    result = SaveReportService.call(@report_params)

    if result.success?
      redirect_to workforce_report_path(result.report.report_key, params: { saved_report_id: result.report.id }),
                  notice: "Report saved successfully"
    else
      redirect_to workforce_report_path(params[:id]), alert: result.error_message
    end
  end