Geschäftsstrategie: Welche Auftragsgröße Sie basierend auf Vertriebskapazität und Kapitalbedarf anstreben sollten

#!/usr/bin/env python3
import matplotlib.pyplot as plt
import numpy as np

def create_order_size_strategy():
    """
    Creates a cleaner Order size strategy figure with better label placement.
    """

    fig, ax = plt.subplots(figsize=(11, 9))
    
    # Create meshgrid
    x = np.linspace(0, 10, 500)
    y = np.linspace(0, 10, 500)
    X, Y = np.meshgrid(x, y)
    
    Z = np.zeros_like(X)
    
    for i in range(len(x)):
        for j in range(len(y)):
            capital_need = X[j, i]
            sales_capacity = Y[j, i]
            
            # Adjusted scoring for cleaner zone boundaries
            score = (capital_need / 10) * 1.3 - (sales_capacity / 10) * 0.9 + 0.35
            
            if score > 0.45:
                Z[j, i] = 2  # Large orders
            elif score < -0.05:
                Z[j, i] = 0  # Small orders
            else:
                Z[j, i] = 1  # Medium orders
    
    colors_list = ['#2ECC71', '#F1C40F', '#E74C3C']

    # Create crisp straight-line boundaries (analytic) to avoid staggered contours
    x_line = np.linspace(0, 10, 500)

    # Based on score = 0.13*x - 0.09*y + 0.35
    def y_from_score(x, score):
        return (0.13 * x + 0.35 - score) / 0.09

    # Boundaries corresponding to the previous thresholds
    y_boundary_low = y_from_score(x_line, 0.45)   # between Large and Medium
    y_boundary_high = y_from_score(x_line, -0.05) # between Medium and Small

    # Clip to the plotting range
    y_low_clip = np.clip(y_boundary_low, 0, 10)
    y_high_clip = np.clip(y_boundary_high, 0, 10)

    # Fill regions: Large (red) below y_low, Medium (yellow) between, Small (green) above y_high
    ax.fill_between(x_line, 0, y_low_clip, where=(y_low_clip > 0), color=colors_list[2], alpha=0.75, zorder=0)
    ax.fill_between(x_line, y_low_clip, y_high_clip, where=(y_high_clip > y_low_clip), color=colors_list[1], alpha=0.75, zorder=0)
    ax.fill_between(x_line, y_high_clip, 10, where=(y_high_clip < 10), color=colors_list[0], alpha=0.75, zorder=0)

    # Draw the straight boundary lines
    ax.plot(x_line, y_boundary_low, color='#2C3E50', linewidth=2.5)
    ax.plot(x_line, y_boundary_high, color='#2C3E50', linewidth=2.5)

    # ==========================================
    # ZONE LABELS - Properly centered
    # ==========================================
    
    # Small Orders - Top Left
    ax.text(1.0, 9, 'SMALL\nORDERS', fontsize=16, fontweight='bold',
            ha='center', va='center', color='white',
            bbox=dict(boxstyle='round,pad=0.5', facecolor='#27AE60', 
                     edgecolor='white', linewidth=3))
    
    # Medium Orders - Center diagonal
    ax.text(2.5, 5.5, 'MEDIUM\nORDERS', fontsize=16, fontweight='bold',
            ha='center', va='center', color='white',
            bbox=dict(boxstyle='round,pad=0.5', facecolor='#D4AC0D', 
                     edgecolor='white', linewidth=3))
    
    # Large Orders - Bottom Right
    ax.text(6.5, 3, 'LARGE\nORDERS\nONLY', fontsize=16, fontweight='bold',
            ha='center', va='center', color='white',
            bbox=dict(boxstyle='round,pad=0.5', facecolor='#C0392B', 
                     edgecolor='white', linewidth=3))
    
    # ==========================================
    # Axis setup
    # ==========================================
    ax.set_xlim(0, 10)
    ax.set_ylim(0, 10)
    ax.set_xlabel('CAPITAL NEED', fontsize=14, fontweight='bold', labelpad=10)
    ax.set_ylabel('SALES CAPACITY', fontsize=14, fontweight='bold', labelpad=10)
    
    # Tick labels
    ax.set_xticks([0.5, 5, 9.5])
    ax.set_xticklabels(['Low', 'Medium', 'High'], fontsize=11, fontweight='bold')
    ax.set_yticks([0.5, 5, 9.5])
    ax.set_yticklabels(['Low', 'Medium', 'High'], fontsize=11, fontweight='bold')
    
    # Title
    ax.set_title('Order size strategy', 
                 fontsize=18, fontweight='bold', color='#2C3E50', pad=15)

    # Directional arrow removed to reduce visual clutter

    # Style
    for spine in ax.spines.values():
        spine.set_linewidth(2)
        spine.set_color('#2C3E50')
    
    # Subtle grid
    ax.grid(True, alpha=0.2, linestyle='--', color='#666666')
    
    plt.tight_layout()
    plt.subplots_adjust(bottom=0.08)
    
    return fig, ax


if __name__ == "__main__":
    print("Creating clean Order size strategy...")

    fig, ax = create_order_size_strategy()
    fig.savefig('order_size_strategy.svg', bbox_inches='tight',
                facecolor='white', edgecolor='none')
    print("✓ Saved: order_size_strategy.png")

    plt.show()