Inventory Optimization

Inventory Optimization helps you maintain optimal stock levels by analyzing consumption patterns, predicting reorder needs, and identifying slow-moving items.

What is Inventory Optimization

Inventory optimization answers critical questions:

When should I reorder? — Before you run out, but not too early
How much should I order? — Enough to cover demand without excess
What's sitting too long? — Items consuming capital without turnover
What am I losing to waste? — Products expiring before sale

Key Metrics

Inventory Turnover

Measures how quickly you sell through inventory:

Turnover Rate = Cost of Goods Sold ÷ Average Inventory Value

Turnover Range	Interpretation	Action
12+ per year	Excellent	Maintain current strategy
6-12 per year	Good	Minor optimizations possible
4-6 per year	Average	Review purchasing patterns
Below 4	Poor	Investigate overstocking

Days of Inventory

How long current stock will last at current sales velocity:

Days of Inventory = Current Stock ÷ Daily Consumption Rate

Optimal range: 7-14 days for perishables, 30-60 days for non-perishables

Stockout Risk

Predicted likelihood of running out before next delivery:

Risk Level	Days Until Stockout	Action Required
Critical	1-2 days	Emergency reorder
High	3-5 days	Place order immediately
Medium	6-10 days	Plan order soon
Low	10+ days	Monitor normally

Optimization Features

Reorder Point Calculator

Automatically calculates optimal reorder points based on:

Lead time — How long from order to delivery
Daily usage — Average consumption per day
Safety stock — Buffer for demand variability
Service level — Target stockout rate (e.g., 95% = 5% acceptable stockout risk)

Formula:

Reorder Point = (Lead Time × Daily Usage) + Safety Stock

ABC Analysis

Classifies inventory by value contribution:

Class	% of SKUs	% of Value	Management Priority
A	20%	80%	Tight control, frequent review
B	30%	15%	Regular monitoring
C	50%	5%	Simple controls, bulk ordering

Usage: Focus optimization efforts on "A" items first.

Slow-Moving Inventory

Identifies products with low turnover:

No sales in 30 days — Flag for promotion or discount
Turnover below 2/year — Consider discontinuing
Approaching expiry — Mark for clearance

Optimization Strategies

1. Dynamic Reordering

Replace fixed reorder points with dynamic calculations:

Before: Reorder coffee beans when stock hits 10 bags After: Reorder when projected demand + lead time consumption exceeds available stock

Benefits:

Reduces stockouts during high-demand periods
Prevents overstocking during slow periods
Adapts to seasonal changes automatically

2. Economic Order Quantity (EOQ)

Calculate optimal order sizes to minimize costs:

EOQ = √((2 × Annual Demand × Order Cost) ÷ Holding Cost per Unit)

Factors considered:

Order processing costs
Storage/carrying costs
Bulk discount opportunities
Shelf life constraints

3. Demand Forecasting Integration

Link inventory to sales forecasts:

Review upcoming week's sales forecast
Calculate ingredient requirements for predicted menu mix
Adjust safety stock for high-uncertainty periods
Pre-position inventory before predicted busy periods

Dashboard Insights

Inventory Health Score

Overall inventory management rating (0-100):

Score Range	Rating	Status
90-100	Excellent	Optimal inventory management
70-89	Good	Minor improvements possible
50-69	Fair	Significant optimization needed
Below 50	Poor	Major restructuring required

Factors weighted:

Stockout frequency (30%)
Turnover rate (25%)
Waste percentage (25%)
Carrying cost efficiency (20%)

Optimization Recommendations

Actionable suggestions based on your data:

"Reduce safety stock on Item X" — Excess buffer identified
"Increase reorder frequency for Item Y" — Stockout pattern detected
"Bundle slow-movers A and B" — Cross-selling opportunity
"Negotiate better terms with Supplier Z" — High carrying costs

Implementation Guide

Step 1: Set Up Product Classifications

Go to Inventory → Product Settings
Assign each product:
- Lead time (days)
- Supplier information
- Shelf life (if applicable)
- Target service level

Step 2: Review ABC Classification

Navigate to Inventory → ABC Analysis
Review automatic classifications
Adjust any misclassified items
Set review frequencies by class

Step 3: Configure Reorder Points

Access Inventory → Reorder Settings
Choose calculation method:
- Fixed (manual threshold)
- Dynamic (auto-calculated)
- Forecast-based (using sales predictions)
Set safety stock policy
Enable automatic alerts

Step 4: Monitor and Refine

Check Inventory → Optimization Dashboard weekly
Review accuracy of predictions
Adjust parameters based on actual results
Track improvement in key metrics

In One Sentence

Inventory Optimization uses consumption data and predictive analytics to maintain ideal stock levels, minimize waste, and prevent stockouts automatically.

Key Actions

Action	How To
View optimization score	Dashboard → Inventory Optimization tab
Check reorder recommendations	Inventory → Reorder Suggestions
Review ABC classification	Inventory → ABC Analysis
Adjust safety stock	Product Settings → Inventory tab
Set up alerts	Settings → Notifications → Inventory

Outputs

The optimization system provides:

Reorder recommendations — What to order, when, and how much
Stockout predictions — Risk alerts by product
Turnover reports — Speed of inventory movement
Waste analysis — Expired or damaged goods tracking
Capital efficiency — Inventory investment vs. return

Inventory Management — Core inventory operations
Sales Forecasting — Demand predictions
Dashboard — Main analytics dashboard