How to Set Up Par Levels and Reorder Points for Your Restaurant: Complete Guide
How to Set Up Par Levels and Reorder Points for Your Restaurant: Complete Guide
Setting proper par levels and reorder points is one of the most important aspects of restaurant inventory management, yet it's something many operators struggle with. Too high, and you tie up cash in excess inventory that may spoil. Too low, and you risk stockouts that frustrate customers and lose sales.
This comprehensive guide will teach you exactly how to calculate, set up, and optimize par levels and reorder points for every item in your restaurant, whether you're using advanced software like Toast or WISK, or managing inventory manually.
What Are Par Levels and Reorder Points?
Before diving into the how-to, let's clarify these critical concepts:
Par Levels (Par Stock)
Definition: The maximum amount of a specific item you should have on hand at any given time to meet demand without overstocking.
Example: If your restaurant serves 50 portions of salmon daily and deliveries come twice weekly, your par level might be 175 portions (3.5 days of inventory).
Purpose:
- Prevents overstocking and food waste
- Ensures consistent availability
- Optimizes cash flow
- Reduces storage space needs
Reorder Points (ROP)
Definition: The inventory level at which you should place a new order to replenish stock before running out.
Example: If your salmon par level is 175 portions, lead time is 1 day, and you use 50 portions daily, your reorder point would be 75 portions (1.5 days of inventory).
Purpose:
- Prevents stockouts
- Accounts for delivery lead time
- Maintains buffer stock
- Triggers timely ordering
How They Work Together
Maximum Inventory (Par Level): 175 portions
↓ ↓ ↓ Daily usage
Reorder Point: 75 portions ← TRIGGER ORDER HERE
↓ ↓ ↓ Continue using
Safety Stock: 25 portions ← Emergency buffer
Zero ← NEVER REACH THIS
Why Proper Par Levels Matter
Financial Impact
Overstocking Consequences:
- $3,000-$12,000 wasted monthly in spoilage (average full-service restaurant)
- 20-30% of working capital tied up unnecessarily
- 15-25% higher storage costs
- 10-15% increased waste from expiration
Understocking Consequences:
- $5,000-$20,000 monthly in lost sales (average restaurant)
- 3-7% revenue loss from menu item unavailability
- Customer dissatisfaction and churn
- Staff frustration and workarounds
Optimized Par Levels:
- 30-50% reduction in food waste
- 20-35% improvement in cash flow
- 15-25% reduction in ordering costs
- 95%+ in-stock rate for key items
Operational Benefits
- Simplified ordering process (know exactly what to order)
- Reduced time counting inventory
- Fewer emergency orders and rush fees
- Better vendor relationships
- Improved menu consistency
- Reduced staff stress
Step-by-Step: Calculating Par Levels
Method 1: The Basic Formula (Best for Stable Items)
Formula:
Par Level = (Average Daily Usage × Lead Time) + Safety Stock
Example Calculation: Chicken Breast
Calculate Average Daily Usage
- Review last 4 weeks of usage
- Week 1: 280 lbs, Week 2: 320 lbs, Week 3: 300 lbs, Week 4: 290 lbs
- Total: 1,190 lbs ÷ 28 days = 42.5 lbs per day
Determine Lead Time
- Vendor delivers Monday and Thursday
- Maximum time between deliveries: 3.5 days
- Order-to-delivery time: 1 day
- Total lead time: 4.5 days
Calculate Safety Stock
- 20-30% of lead time demand is standard
- Lead time demand: 42.5 lbs × 4.5 days = 191 lbs
- Safety stock: 191 × 0.25 = 48 lbs
Calculate Par Level
- Par = (42.5 × 4.5) + 48
- Par = 191 + 48
- Par Level = 239 lbs (round to 240 lbs)
Method 2: The Detailed Formula (Best for Variable Items)
Formula:
Par Level = (Max Daily Usage × Max Lead Time) + Safety Stock
Example Calculation: Fresh Tomatoes
Find Maximum Daily Usage
- Review last 8 weeks
- Look for highest usage day: Saturday = 85 lbs
- Consider special events/holidays
- Max daily usage: 85 lbs
Find Maximum Lead Time
- Normal delivery: 1 day
- Worst case (holiday weekend): 4 days
- Max lead time: 4 days
Calculate Safety Stock
- More conservative for perishables
- 1-2 days of max usage
- Safety stock: 85 × 1.5 = 128 lbs
Calculate Par Level
- Par = (85 × 4) + 128
- Par = 340 + 128
- Par Level = 468 lbs (round to 470 lbs)
Method 3: The Percentage Method (Best for Fast-Moving Items)
Formula:
Par Level = Average Weekly Usage × Target Coverage Period
Example Calculation: Coffee Beans
Calculate Average Weekly Usage
- Last 12 weeks average: 45 lbs per week
Determine Target Coverage
- Delivery frequency: Weekly
- Desired buffer: 0.5 weeks
- Target coverage: 1.5 weeks
Calculate Par Level
- Par = 45 × 1.5
- Par Level = 67.5 lbs (round to 70 lbs)
Step-by-Step: Calculating Reorder Points
The Standard Reorder Point Formula
Formula:
Reorder Point = (Average Daily Usage × Lead Time) + Safety Stock
Example Calculation: Chicken Breast (from above)
Use Previously Calculated Data
- Average daily usage: 42.5 lbs
- Lead time: 1 day (order to delivery)
- Safety stock: 48 lbs
Calculate Reorder Point
- ROP = (42.5 × 1) + 48
- Reorder Point = 90.5 lbs (round to 90 lbs)
Interpret the Result
- When inventory drops to 90 lbs → Place order
- Vendor delivers in 1 day
- You'll use ~42 lbs during that day
- You'll have ~48 lbs left when delivery arrives
- New delivery brings you back to par (240 lbs)
The Service Level Method (Advanced)
For critical items where stockouts are unacceptable:
Formula:
ROP = (Average Daily Usage × Lead Time) + (Z-score × √Lead Time × Std Dev of Daily Usage)
Z-scores by Service Level:
- 90% service level: Z = 1.28
- 95% service level: Z = 1.65
- 99% service level: Z = 2.33
Example: Prime Rib (Critical Weekend Item)
Calculate Average & Standard Deviation
- Average Saturday usage: 12 portions
- Standard deviation: 3 portions
- Lead time: 2 days
Choose Service Level
- Prime item, can't run out: 99% service level
- Z-score: 2.33
Calculate ROP
- ROP = (12 × 2) + (2.33 × √2 × 3)
- ROP = 24 + (2.33 × 1.414 × 3)
- ROP = 24 + 9.88
- Reorder Point = 34 portions
Par Levels by Item Category
Different categories require different approaches:
Proteins & Seafood
Characteristics:
- High cost
- Perishable
- Variable demand
- Quality degradation
Par Level Strategy:
- Lower par levels (3-5 days max)
- Higher reorder frequency
- Tight reorder points
- 95-99% service level for signature items
Example Par Levels:
- Fresh salmon: 3-4 days
- Chicken breast: 4-5 days
- Ground beef: 5-7 days
- Frozen proteins: 7-14 days
Produce
Characteristics:
- Highly perishable
- Quality-critical
- Price fluctuations
- Seasonal availability
Par Level Strategy:
- Very low par levels (2-4 days)
- Daily or every-other-day delivery
- Immediate reordering
- Quality-based adjustments
Example Par Levels:
- Lettuce/greens: 2-3 days
- Tomatoes: 3-4 days
- Onions/potatoes: 5-7 days
- Root vegetables: 7-10 days
Dry Goods
Characteristics:
- Long shelf life
- Stable pricing
- Bulk discounts available
- Low spoilage risk
Par Level Strategy:
- Higher par levels (14-30 days)
- Less frequent ordering
- Volume discount optimization
- 90-95% service level
Example Par Levels:
- Flour, sugar: 21-30 days
- Pasta, rice: 14-21 days
- Canned goods: 21-30 days
- Spices: 30-60 days
Beverages
Characteristics:
- Long shelf life (most)
- Predictable demand
- Promotional impacts
- Storage space intensive
Par Level Strategy:
Wine:
- Popular bottles: 7-14 days
- Reserve list: 30-90 days
- Event-driven adjustments
Beer:
- Draft: 3-7 days
- Bottled/canned: 7-14 days
- Seasonal: 7 days
Liquor:
- Well spirits: 14-21 days
- Call spirits: 21-30 days
- Premium/shelf: 30-60 days
Non-alcoholic:
- Soda syrup: 14-21 days
- Coffee: 7-14 days
- Juices: 3-7 days
Paper & Supplies
Characteristics:
- Non-perishable
- Predictable usage
- Bulk discounts
- Storage space required
Par Level Strategy:
- Very high par levels (30-60 days)
- Monthly ordering
- Bulk purchasing
- 85-90% service level
Example Par Levels:
- To-go containers: 30-45 days
- Napkins: 45-60 days
- Gloves: 30 days
- Cleaning supplies: 30-45 days
Setting Up Par Levels in Your System
Manual System Setup
Create a Par Level Spreadsheet:
Item Name | Unit | Par Level | Reorder Point | Current | Order Qty
----------------------------------------------------------------------
Chicken Breast | lbs | 240 | 90 | 150 | 90
Salmon Fillet | lbs | 175 | 75 | 60 | 115
Tomatoes | lbs | 470 | 200 | 320 | 150
Coffee Beans | lbs | 70 | 30 | 45 | 25
Ordering Process:
- Count current inventory
- Compare to reorder point
- If at or below ROP, calculate order quantity
- Order quantity = Par level - Current inventory
- Place order
Download our Free Restaurant Inventory Count Sheet Template
Software System Setup
Using Toast
Step 1: Navigate to Inventory Management
- Login to Toast Dashboard
- Go to: Restaurant → Inventory → Items
Step 2: Set Par Levels
- Select item
- Click "Edit"
- Enter "Par Level" value
- Save changes
Step 3: Configure Reorder Points
- In same item screen
- Set "Reorder Point"
- Enable "Automated Ordering" (optional)
- Set preferred vendor
Step 4: Enable Alerts
- Go to: Settings → Notifications
- Enable "Low Inventory Alerts"
- Set notification recipients
- Choose alert threshold (at ROP or below)
Benefits:
- Automatic low-stock notifications
- Suggested orders based on ROP
- Historical usage for calculations
- Integration with receiving
- Real-time inventory visibility
See our complete Toast guide for more details
Using WISK
Step 1: Access Item Settings
- Open WISK app
- Navigate to Inventory
- Select item
Step 2: Configure Par Levels
- Tap "Edit Item"
- Scroll to "Par Level"
- Enter calculated value
- Set unit of measure
Step 3: Set Reorder Settings
- Enter "Reorder Point"
- Set "Reorder Quantity" (Par - Current)
- Assign primary vendor
- Save changes
Step 4: Activate Smart Ordering
- Enable AI-powered suggestions
- Review recommended adjustments
- Set ordering preferences
- Configure approval workflow
Benefits:
- AI-powered par level recommendations
- Photo-based counting for accuracy
- Mobile ordering on the go
- Multi-location sync
- Vendor price comparison
Read our WISK implementation guide
Using MarketMan
Step 1: Item Master Setup
- Navigate to Inventory → Items
- Select item to configure
- Click "Inventory Settings"
Step 2: Set Par Levels by Location
- Enter par level for each location
- Different pars for different sites
- Account for local demand variations
Step 3: Configure Auto-Ordering
- Enable "Auto-Order" feature
- Set reorder point trigger
- Define order quantities
- Set vendor preferences
- Configure approval rules
Step 4: Optimize with Analytics
- Review usage reports
- Identify slow-moving items
- Adjust pars based on trends
- Monitor fill rates
Benefits:
- Multi-location par management
- Automated ordering workflows
- Vendor integration
- Advanced analytics
- Recipe-based forecasting
Optimizing Par Levels Over Time
Monthly Review Process
Week 1: Gather Data
- Pull usage reports for last 30 days
- Note any unusual events (holidays, promotions)
- Check stockout incidents
- Review waste reports
Week 2: Analyze Performance
- Compare actual vs. projected usage
- Calculate variances
- Identify trends
- Note seasonal changes
Week 3: Adjust Par Levels
- Increase pars for items frequently stocking out
- Decrease pars for items with excess waste
- Adjust for seasonal demand shifts
- Update reorder points proportionally
Week 4: Monitor Results
- Track fill rates
- Monitor waste reduction
- Measure cash flow impact
- Document improvements
Seasonal Adjustments
Summer (May-August):
- Increase: Salads, cold appetizers, beverages, patio supplies
- Decrease: Heavy entrees, soups, hot beverages
- Typical adjustment: ±15-30%
Fall (September-November):
- Increase: Comfort foods, warm beverages, seasonal items
- Decrease: Light salads, cold soups
- Typical adjustment: ±10-20%
Winter (December-February):
- Increase: Hearty proteins, soups, root vegetables
- Decrease: Light fare, cold drinks
- Holiday periods: +40-60% for key items
Spring (March-April):
- Increase: Fresh produce, lighter proteins, outdoor dining supplies
- Decrease: Heavy comfort foods
- Typical adjustment: ±10-20%
Event-Based Adjustments
Known Events:
- Valentine's Day: +60-80% romantic items (filet, lobster, wine)
- Mother's Day: +70-100% brunch items
- New Year's Eve: +80-120% champagne, appetizers
- Super Bowl: +100-150% wings, beer, appetizers
- Local events: Adjust based on historical data
Process:
- Review last year's usage (if available)
- Increase pars 2-3 weeks before event
- Front-load ordering to avoid last-minute shortages
- Plan for increased safety stock
- Return to normal pars 1 week after event
Menu Changes
New Menu Items:
- Start with conservative pars (5-7 days)
- Monitor closely for first 2-4 weeks
- Adjust based on actual sales data
- Consider promotion impact on demand
Discontinued Items:
- Reduce pars immediately to safety stock only
- Use up existing inventory
- Coordinate with kitchen on specials
- Avoid new orders unless critical
Recipe Changes:
- Recalculate ingredient requirements
- Update par levels based on new portions
- Adjust related items accordingly
- Train staff on new specs
Advanced Par Level Strategies
ABC Analysis (Prioritization)
Categorize inventory by value and importance:
A-Items (20% of items, 80% of value):
- High-cost proteins
- Signature ingredients
- Premium beverages
- Tightest par controls
- Weekly review
- 99% service level
B-Items (30% of items, 15% of value):
- Mid-range proteins
- Standard produce
- Regular beverages
- Moderate par controls
- Bi-weekly review
- 95% service level
C-Items (50% of items, 5% of value):
- Condiments
- Paper goods
- Cleaning supplies
- Loose par controls
- Monthly review
- 90% service level
Par Level Strategy by Category:
| Category | Par Days | Safety Stock | Review Frequency |
|---|---|---|---|
| A-Items | 3-5 days | 30-40% | Weekly |
| B-Items | 5-7 days | 20-30% | Bi-weekly |
| C-Items | 14-30 days | 10-20% | Monthly |
Just-In-Time (JIT) Inventory
For restaurants with reliable daily delivery:
Characteristics:
- Minimal on-hand inventory
- Daily or near-daily delivery
- Very low pars (1-2 days)
- Tight vendor relationships
Best For:
- Urban locations with nearby suppliers
- High-volume operations
- Limited storage space
- Fresh-focused concepts
Example JIT Pars:
- Fresh fish: 1-1.5 days
- Produce: 1-2 days
- Bread: 1 day
- Dairy: 2-3 days
Requirements:
- Extremely reliable vendors
- Backup supplier arrangements
- Precise forecasting
- Daily ordering discipline
Benefits:
- Minimal waste (5-8% vs. 10-15% typical)
- Lower storage costs
- Fresher ingredients
- Better cash flow
Risks:
- Vulnerable to delivery issues
- Weather disruptions
- Requires disciplined execution
- Limited bulk discount opportunities
Dynamic Par Levels
Adjust pars automatically based on real-time data:
Factors for Dynamic Adjustment:
- Day of week: Higher pars before Friday/Saturday
- Upcoming events: Increase for known busy periods
- Weather forecast: Adjust for weather-driven demand
- Reservations: Scale based on confirmed bookings
- Historical trends: Learn from past patterns
Example: Dynamic Salmon Par
| Day | Forecast Covers | Par Level | Notes |
|---|---|---|---|
| Monday | 120 | 30 portions | Low demand |
| Tuesday | 140 | 35 portions | Moderate |
| Wednesday | 180 | 45 portions | Building |
| Thursday | 200 | 50 portions | Pre-weekend |
| Friday | 280 | 75 portions | Peak night |
| Saturday | 320 | 85 portions | Peak night |
| Sunday | 180 | 45 portions | Declining |
Implementation:
- Requires advanced software (Toast, MarketMan, R365)
- Machine learning algorithms
- Historical data (6+ months)
- Integration with POS and reservations
- Regular validation and tuning
Common Par Level Mistakes to Avoid
Mistake 1: Setting and Forgetting
Problem:
- Set pars once, never adjust
- Demand changes but pars don't
- Results in chronic over/understocking
Solution:
- Monthly review minimum
- Quarterly deep analysis
- Seasonal adjustments
- Event-based modifications
Mistake 2: Using Same Pars for All Locations
Problem:
- Multi-location operators using identical pars
- Different locations have different demand
- One-size-fits-all doesn't work
Solution:
- Location-specific pars
- Analyze each site independently
- Factor in local preferences
- Account for storage differences
Mistake 3: Ignoring Lead Time Variability
Problem:
- Assuming consistent 1-day delivery
- Reality: Lead times vary significantly
- Stockouts during holiday weekends
Solution:
- Use maximum lead time for calculations
- Build in buffer for known slow periods
- Coordinate with vendors on holiday schedules
- Increase safety stock before long weekends
Mistake 4: Not Accounting for Waste
Problem:
- Pars based on theoretical usage
- Ignoring actual waste rates
- Constant shortages despite "adequate" pars
Solution:
- Track waste separately
- Add waste % to usage calculations
- Target waste reduction initiatives
- Adjust pars for realistic yield
Formula:
Adjusted Daily Usage = Theoretical Usage ÷ (1 - Waste %)
Example:
Theoretical: 100 lbs lettuce
Waste rate: 15%
Adjusted: 100 ÷ 0.85 = 118 lbs needed
Mistake 5: Over-Optimizing for Cash Flow
Problem:
- Pars too low to save money
- Frequent stockouts
- Lost sales exceed savings
Solution:
- Calculate cost of stockouts
- Balance cash flow vs. revenue
- Higher pars for high-margin items
- Lower pars for low-margin items
Example:
Scenario A: Low Par (85 lbs ribeye)
- Stockouts: 2 per month
- Lost sales: 10 steaks × $45 = $450
- Cost: $180 inventory carrying cost saved
- Net: -$270 (loss)
Scenario B: Optimal Par (120 lbs ribeye)
- Stockouts: 0 per month
- Lost sales: $0
- Cost: $180 inventory carrying cost
- Net: +$270 (gain from preventing lost sales)
Measuring Par Level Performance
Key Performance Indicators
Inventory Turnover Ratio:
Turnover = Cost of Goods Sold ÷ Average Inventory Value
Target: 4-8× for food, 1-2× for liquor
Days of Inventory on Hand:
Days = 365 ÷ Inventory Turnover
Target: 45-90 days for food, 180-365 for liquor
Fill Rate (In-Stock Rate):
Fill Rate = (Items Available ÷ Items Requested) × 100
Target: 95-99% for critical items
Waste Percentage:
Waste % = (Waste Value ÷ Total Purchases) × 100
Target: <3% for proteins, <5% for produce
Par Level Accuracy:
Accuracy = 1 - |Actual Usage - Forecasted Usage| ÷ Forecasted Usage
Target: >90% accuracy
Dashboard Metrics to Monitor
Weekly Dashboard:
- Items at or below reorder point
- Projected stockouts (next 7 days)
- Slow-moving items (>par for 14+ days)
- Fast-moving items (frequent reorders)
- Total inventory value
- Week-over-week changes
Monthly Dashboard:
- Par level performance by category
- Variance actual vs. projected usage
- Waste by item and category
- Inventory turnover ratio
- Cash tied up in inventory
- Top 20 items by value
Tools and Templates
Essential Spreadsheets
1. Par Level Calculator
Download our template with built-in formulas:
- Automatic par calculation
- Reorder point determination
- Safety stock optimization
- Seasonal adjustment factors
2. Order Guide
Based on your pars:
- Current inventory levels
- Reorder point triggers
- Calculated order quantities
- Vendor assignment
- Cost estimates
3. Usage Tracker
Monitor actual usage:
- Daily/weekly usage logging
- Average calculations
- Trend identification
- Variance alerts
4. Waste Log
Understand losses:
- Item-level waste tracking
- Reason categorization
- Cost calculation
- Improvement targeting
Software Recommendations
For Full-Service Restaurants:
Toast Inventory Management
- Integrated with POS for accurate usage
- Automated reorder point alerts
- Recipe-based forecasting
- Multi-location support
For Bars & Nightclubs:
WISK
- Specialized for beverage inventory
- Photo-based bottle counting
- AI-powered par recommendations
- Mobile-first design
For Multi-Unit Operations:
MarketMan or Restaurant365
- Centralized par management
- Location-specific customization
- Advanced analytics
- Automated ordering workflows
Need Help Choosing?
Use our Restaurant Inventory Software Calculator to find the best fit.
Conclusion: The Foundation of Inventory Control
Properly configured par levels and reorder points are the foundation of effective restaurant inventory management. They:
- Prevent costly stockouts and lost sales
- Reduce waste and spoilage significantly
- Optimize cash flow and working capital
- Simplify ordering and reduce decision fatigue
- Enable data-driven inventory decisions
Key Takeaways:
- Calculate don't guess - Use formulas based on actual usage data
- Customize by category - Different items need different strategies
- Review regularly - Monthly minimum, weekly for critical items
- Adjust for reality - Account for seasonality, events, menu changes
- Measure performance - Track KPIs and continuously improve
- Use technology - Software automates and optimizes the process
Start with your highest-value items (A-items), get those pars dialed in, then expand to your full inventory. Within 3-6 months, you'll see dramatic improvements in waste, cash flow, and operational efficiency.
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