Dashboard Metrics¶

Understanding your real-time operational metrics and KPIs.

Overview¶

The Zora Tech dashboard displays key performance indicators (KPIs) for your warehouse operations. This guide explains what each metric means and how to use them.

Primary Metrics¶

Inventory Value¶

What it shows: Total value of all inventory across your warehouses

Calculation: Sum of (Quantity × Unit Cost) for all products

Use cases: - Track inventory investment - Monitor stock value trends - Financial reporting - Insurance purposes

Typical ranges: - Small warehouse: $50K - $500K - Medium warehouse: $500K - $5M - Large warehouse: $5M+

Active Orders¶

What it shows: Number of orders currently being processed

Included statuses: - Pending (awaiting allocation) - Allocated (reserved inventory) - Picked (items collected) - Packed (ready to ship)

Excluded statuses: - Shipped (completed) - Cancelled (not processed)

Use cases: - Monitor daily workload - Identify bottlenecks - Plan staff requirements - Track fulfillment capacity

Typical ranges: - Low volume: 10-50 orders/day - Medium volume: 50-200 orders/day - High volume: 200+ orders/day

Total Products¶

What it shows: Number of unique SKUs in your catalog

Calculation: Count of distinct product records

Use cases: - Track catalog growth - Understand inventory complexity - Plan warehouse space - Assess staffing needs

Typical ranges: - Small catalog: 100-1,000 SKUs - Medium catalog: 1,000-10,000 SKUs - Large catalog: 10,000+ SKUs

Warehouses¶

What it shows: Number of active warehouse facilities

Included: Only enabled warehouses

Use cases: - Multi-location operations - Geographic distribution - Facility management

Secondary Metrics¶

Low Stock Items¶

What it shows: Products below reorder point

Use cases: - Prevent stockouts - Trigger reordering - Inventory planning

Action: Review and create purchase orders

Pending Receipts¶

What it shows: Incoming shipments awaiting receiving

Use cases: - Plan receiving staff - Prepare dock space - Monitor supplier delivery

Action: Process receiving queue

Pick Rate¶

What it shows: Average picks per hour per worker

Calculation: Total picks ÷ Total hours worked

Industry benchmarks: - Basic warehouse: 40-60 picks/hour - Optimized warehouse: 60-100 picks/hour - Automated warehouse: 100+ picks/hour

Use cases: - Measure productivity - Identify training needs - Compare shift performance - Set performance goals

Order Fill Rate¶

What it shows: Percentage of orders shipped complete

Calculation: (Complete orders ÷ Total orders) × 100

Target: 95% or higher

Use cases: - Measure fulfillment quality - Identify inventory gaps - Track customer satisfaction

Metric Trends¶

Understanding Trend Indicators¶

Dashboard metrics may show trend indicators:

↑ Green Arrow = Increased from previous period ↓ Red Arrow = Decreased from previous period Percentage = Change magnitude

Interpreting Trends¶

Inventory Value Increasing: - ✅ Good: Business growth, seasonal stock-up - ⚠️ Caution: Overstocking, slow-moving inventory

Active Orders Increasing: - ✅ Good: Business growth, high demand - ⚠️ Caution: Processing bottleneck, staff shortage

Pick Rate Decreasing: - ⚠️ Caution: Training needed, layout issues - ✅ Good: (If order complexity increased)

Using Metrics for Decision Making¶

Daily Operations¶

Morning Review: - Check active orders for today's workload - Review pending receipts for incoming shipments - Check low stock items for urgent reorders

End of Day: - Verify all orders processed - Review pick rate performance - Check pending items for tomorrow

Weekly Analysis¶

Compare week-over-week: - Order volume trends - Inventory value changes - Pick rate performance - Fill rate percentage

Actions: - Adjust staffing based on order trends - Reorder low stock items - Investigate pick rate drops - Address fill rate issues

Monthly Reporting¶

Executive Summary: - Total inventory investment - Average daily order volume - Overall fill rate percentage - Pick productivity trends

Strategic Planning: - Catalog growth analysis - Warehouse utilization - Staffing requirements - Process improvement opportunities

Custom Date Ranges¶

Some metric views allow custom date ranges:

Common Ranges: - Today - This Week - This Month - Last 30 Days - Last Quarter - Custom Range

Use cases: - Compare seasonal performance - Analyze specific time periods - Generate reports for stakeholders

Exporting Metric Data¶

Export Options¶

1. Screenshot - Capture dashboard view
2. PDF Report - Generate formatted report
3. CSV Export - Raw data for analysis
4. Email Report - Schedule automatic delivery

Report Frequency¶

• Daily snapshot
• Weekly summary
• Monthly executive report
• Custom schedule

Metric Accuracy¶

Data Quality¶

Metrics are only as accurate as the data:

Ensure Accuracy: - ✅ Complete all receiving promptly - ✅ Record all shipments immediately - ✅ Perform regular cycle counts - ✅ Update product costs regularly - ✅ Process adjustments same day

Common Issues: - ❌ Delayed receiving = understated inventory - ❌ Missing shipments = overstated orders - ❌ Old costs = inaccurate value - ❌ Skipped counts = drift over time

Advanced Metrics¶

Related Guides¶

• Understanding Your Dashboard
• Reports Overview
• Inventory Management

Need Help?¶

Questions about specific metrics?

• Check FAQ
• Email Support

Last Updated: January 2025