Interpreting Forecasts
Learn how to read forecasts, understand predictions, and take action on AI-powered recommendations.
Forecast Detail View
┌─────────────────────────────────────────────────────────────────┐
│ HOURLY FORECAST - SATURDAY JAN 25 │
├─────────────────────────────────────────────────────────────────┤
│ │
│ COVERS BY HOUR │
│ │
│ 40│ ████ │
│ │ ████ ████ │
│ 30│ ████ ████ ████ ████ │
│ │ ████ ████ ████ ████ ████ │
│ 20│ ████ ████ ████ ████ ████ ████ ████ │
│ │ ████ ████ ████ ████ ████ ████ ████ ████ │
│ 10│████ ████ ████ ████ ████ ████ ████ ████ ████ ████ │
│ │████ ████ ████ ████ ████ ████ ████ ████ ████ ████ │
│ 0└────────────────────────────────────────────────── │
│ 11am 12pm 1pm 2pm 3pm 4pm 5pm 6pm 7pm 8pm 9pm │
│ │
│ PEAK: 6-7pm (42 covers) SLOW: 2-4pm (12 covers avg) │
│ │
│ ITEM PREDICTIONS (Top 10) │
│ ───────────────────────────────────────────────────────────── │
│ 1. Burger 85 orders (+12% vs avg Sat) │
│ 2. Wings 72 orders (+45% - game day) │
│ 3. Caesar Salad 58 orders (normal) │
│ 4. Fish & Chips 45 orders (-5% - weather warm) │
│ 5. Ribeye 38 orders (+8% - weekend) │
│ │
└─────────────────────────────────────────────────────────────────┘
Reports & Analytics
Forecasting Accuracy
Track how well predictions match reality:
┌─────────────────────────────────────────────────────────────────┐
│ FORECAST ACCURACY REPORT Last 30 Days │
├─────────────────────────────────────────────────────────────────┤
│ │
│ OVERALL ACCURACY │
│ ───────────────────────────────────────────────────────────── │
│ Covers: 94.2% accurate (within 10% of prediction) │
│ Revenue: 91.8% accurate │
│ Item Mix: 88.5% accurate │
│ │
│ BY DAY OF WEEK │
│ ───────────────────────────────────────────────────────────── │
│ Mon: 96% Tue: 95% Wed: 94% Thu: 93% │
│ Fri: 91% Sat: 89% Sun: 92% │
│ │
│ BIGGEST MISSES │
│ ───────────────────────────────────────────────────────────── │
│ Jan 18 (Sat): Predicted 280, Actual 195 (-30%) │
│ Cause: Unexpected competitor grand opening │
│ Learning: Added competitor events to external factors │
│ │
│ Jan 12 (Sun): Predicted 185, Actual 245 (+32%) │
│ Cause: Viral social media post │
│ Learning: Added social media monitoring │
│ │
└─────────────────────────────────────────────────────────────────┘
Pricing Impact
Measure dynamic pricing effectiveness:
| Metric | Before | After | Change |
|---|---|---|---|
| Avg Check | $28.50 | $31.20 | +9.5% |
| Peak Revenue/Hr | $2,100 | $2,450 | +16.7% |
| Off-Peak Covers | 45 | 58 | +28.9% |
| Overall Margin | 22% | 24% | +2pts |
Revenue Lift Report
┌─────────────────────────────────────────────────────────────────┐
│ DYNAMIC PRICING REVENUE IMPACT Last 90 Days │
├─────────────────────────────────────────────────────────────────┤
│ │
│ TOTAL REVENUE LIFT: $28,450 (+8.2%) │
│ │
│ BY SOURCE │
│ ───────────────────────────────────────────────────────────── │
│ Peak pricing increases: +$15,200 │
│ Off-peak discounts (volume): +$8,300 │
│ Event pricing: +$4,950 │
│ │
│ BY CATEGORY │
│ ───────────────────────────────────────────────────────────── │
│ Entrees: +$12,100 (peak pricing effective) │
│ Appetizers: +$6,800 (happy hour volume) │
│ Beverages: +$5,200 (event pricing) │
│ Desserts: +$4,350 (late-night discounts) │
│ │
│ CUSTOMER IMPACT │
│ ───────────────────────────────────────────────────────────── │
│ Satisfaction score: 4.6 → 4.5 (-2%) - within acceptable │
│ Return rate: 42% → 44% (+5%) - improved │
│ Price complaints: 0.3% of transactions │
│ │
└─────────────────────────────────────────────────────────────────┘
Related Guides
- Setup - Configure forecasting and data sources
- Dynamic Pricing - Price optimization configuration
- Sales Reports - Historical analysis