--- title: "Warehouse Reporting and Analytics: The Metrics That Actually Matter" date: "2026-03-04" description: "Most WMS platforms either overload you with data or give you nothing useful. Here are the warehouse metrics that drive real operational decisions." author: "CannonWMS Team" tags: "Reporting, Analytics, KPIs, Dashboard, Warehouse Performance" draft: "false" --- # Warehouse Reporting and Analytics: The Metrics That Actually Matter Your warehouse generates thousands of data points every day. Every pick, every scan, every shipment, every receiving dock event. The question isn't whether you have data — it's whether you're looking at the right data and using it to make decisions. Most warehouse managers fall into one of two camps: drowning in spreadsheet exports they never analyze, or flying blind with no reporting at all. Built-in WMS reporting closes the gap by surfacing the metrics that actually drive operational improvement. ## The Problem with External Reporting When your WMS doesn't include reporting, you end up building it yourself. The typical DIY reporting stack looks like this: 1. Export CSV from the WMS 2. Paste into Excel or Google Sheets 3. Build pivot tables and charts 4. Do this again next week because the data is already stale 5. Wonder why last week's numbers don't match this week's export This process has predictable problems: - **It's always stale.** By the time you export, format, and analyze, the data is hours or days old. - **It's labor-intensive.** Someone spends 2-5 hours per week pulling and formatting reports instead of running the warehouse. - **It's inconsistent.** Different people build reports differently. Definitions drift. "Orders shipped today" might include or exclude partial shipments depending on who built the spreadsheet. - **It can't alert you.** A spreadsheet can't tell you that picking accuracy dropped 8% this morning. You find out at end of day — or next week. ## Core Warehouse Metrics Here are the metrics that matter for day-to-day operations and long-term improvement, organized by function. ### Fulfillment Performance These tell you how well your warehouse is executing on its primary job — getting orders out the door. **Order Fulfillment Rate** Percentage of orders shipped on time vs. total orders received. Why it matters: This is the number your customers feel. A 95% fulfillment rate means 1 in 20 orders is late. For a warehouse shipping 200 orders/day, that's 10 unhappy customers daily. Target: 98%+ for standard orders, 99.5%+ for same-day/next-day. **Average Fulfillment Time** Time from order received to order shipped, measured in hours. Why it matters: This directly impacts your ability to offer fast shipping. If your average fulfillment time is 18 hours, you can confidently promise next-day shipping for orders placed before noon. If it's 36 hours, you can't. **Order Accuracy Rate** Percentage of orders shipped without errors (wrong item, wrong quantity, missing item). Why it matters: Every shipping error costs $10-50 in return shipping, reshipment, labor, and customer goodwill. At 200 orders/day with a 2% error rate, that's 4 wrong orders daily — potentially $200/day in avoidable costs. Target: 99.5%+ with barcode scanning verification. **Backlog** Number of orders received but not yet shipped, broken down by age. Why it matters: A growing backlog means your throughput isn't keeping up with incoming volume. Backlog by age shows whether orders are sitting for hours (normal) or days (problem). ### Inventory Health These tell you whether your inventory is accurate, balanced, and working for you. **Inventory Accuracy** Percentage of SKUs where system count matches physical count, measured during cycle counts. Why it matters: Everything downstream depends on accurate inventory — channel listings, pick availability, purchasing decisions, financial reporting. Below 95% accuracy, you're overselling, stockout rates climb, and customer trust erodes. Target: 98%+ for high-velocity SKUs, 99%+ overall. **Inventory Turnover** How many times your average inventory sells through in a given period (usually annually). Why it matters: Low turnover means capital is tied up in slow-moving stock. High turnover means your inventory is working efficiently. Industry averages vary, but most ecommerce operations target 6-12 turns per year. Formula: Cost of Goods Sold / Average Inventory Value **Dead Stock Percentage** Percentage of SKUs with zero sales in the last 90 days. Why it matters: Dead stock takes up warehouse space, ties up cash, and costs you storage fees if you're in a 3PL. Identifying dead stock early lets you run clearance promotions, bundle it with popular items, or liquidate before it becomes a write-off. **Stockout Rate** Percentage of time that sellable SKUs show zero available inventory. Why it matters: Every stockout is a lost sale. For multi-channel sellers, it also means cancelled orders on marketplaces, which damages your seller rating. **Days of Supply** How many days of sales your current inventory can cover per SKU. Why it matters: SKUs with 5 days of supply need a PO now. SKUs with 180 days of supply might be over-ordered. This metric drives purchasing decisions. ### Labor and Efficiency These tell you how productively your team is working. **Picks Per Hour (PPH)** Number of items picked per picker per hour. Why it matters: This is the core productivity metric for warehouse labor. It's affected by warehouse layout, pick tour optimization, batch sizes, and picker training. Tracking it over time shows whether operational changes are improving throughput. Typical ranges: 60-80 PPH for single-item picks, 100-150+ PPH for batch picks. **Lines Per Hour** Number of order lines processed per hour (picking, packing, or both). Why it matters: Different from PPH because it accounts for multi-quantity lines. A picker who picks 50 items across 45 lines is working differently than one who picks 50 items across 10 lines. **Labor Cost Per Order** Total labor cost divided by orders shipped. Why it matters: This is your warehouse unit economics. If your labor cost per order is $4.50 and your average margin is $8, you know exactly how much room you have for other costs. Track this weekly to catch staffing inefficiencies early. **Picker Accuracy by Employee** Error rate per individual picker. Why it matters: If one picker has a 5% error rate while the team averages 1%, that's a training issue — not a systemic one. Individual metrics let you identify who needs coaching without punishing the whole team. ### Shipping Performance These tell you whether your shipping operations are cost-effective and reliable. **Cost Per Package** Average shipping cost per outbound package. Why it matters: This is your single biggest variable cost after product cost. A $0.50/package improvement across 5,000 monthly shipments saves $30,000/year. **Carrier Distribution** Breakdown of shipments by carrier (UPS, FedEx, USPS, regional). Why it matters: If 90% of shipments go through one carrier, you're probably not rate shopping effectively. A healthy distribution means you're matching the cheapest carrier to each shipment. **On-Time Delivery Rate by Carrier** Percentage of packages delivered within the promised transit window per carrier. Why it matters: A carrier that's 15% cheaper but delivers late 20% of the time isn't cheaper — it's generating customer service calls and refund requests. Track this to make informed carrier decisions. **Dimensional Weight Impact** Percentage of shipments where dimensional weight exceeds actual weight. Why it matters: DIM weight charges are one of the sneakiest shipping cost inflators. If 40% of your packages are being charged on DIM weight, your packaging is too big. Switching to right-sized boxes can save 10-20% on those shipments. ### Receiving and Inbound These tell you how efficiently your inbound operations are running. **Receiving Accuracy** Percentage of received items that match the PO (quantity and SKU). Why it matters: Receiving errors propagate through the entire system. If you receive 500 units but the PO said 520, you need to catch that discrepancy at the dock — not during a cycle count weeks later. **Putaway Time** Average time from receiving scan to putaway confirmation. Why it matters: Inventory sitting on the dock isn't available for sale. Fast putaway means faster inventory availability. If putaway is taking hours, look at bin assignment logic and dock workflow. **Vendor Scorecard Metrics** On-time rate, fill rate, and quality rate per supplier. Why it matters: Your vendors directly impact your ability to serve customers. Tracking their performance gives you data for contract negotiations and helps you identify which suppliers need attention. ## Dashboard vs. Deep Reports Good WMS reporting works at two levels: ### The Dashboard A real-time overview that answers "how is today going?" at a glance: - Orders received today vs. shipped today - Current backlog by age - Picking in progress (active tours, items remaining) - Shipments staged for pickup - Any alerts (low stock, late orders, receiving exceptions) Your warehouse manager checks this throughout the day. It should load instantly and update in real time. ### Deep Reports Detailed analysis for weekly and monthly review: - Fulfillment performance trends over time - Inventory turnover by category - Picker productivity comparisons - Shipping cost analysis by carrier, zone, and weight - Return rate analysis by product and reason - Vendor scorecard summaries These inform strategic decisions — staffing, layout changes, carrier negotiations, purchasing adjustments. ## What to Look for in a WMS - **Built-in, not bolted-on** — reporting should ship with the WMS, not require a separate BI tool - **Real-time dashboard** — not a report that runs overnight and shows yesterday's data - **Drill-down capability** — click on a metric to see the underlying detail - **Export capability** — CSV export for when you need data in other tools - **No SQL required** — if you need a developer to pull a report, you won't pull reports - **Role-based access** — warehouse managers see operational metrics, executives see financial metrics, pickers see their own performance - **Alerting** — notifications when metrics cross thresholds (stockout, backlog spike, accuracy drop) ## The Bottom Line Reporting isn't a feature — it's how you improve. A warehouse without good reporting is optimizing by gut feel. A warehouse with the right metrics is making decisions based on evidence: where to add staff, which carriers to use, which vendors to push, which products to restock, and which processes to fix. CannonWMS includes dashboard metrics, inventory reports, order performance, shipping analytics, picker performance, and balancing reports out of the box. No add-on fees, no SQL, no CSV exports into spreadsheets. The data your warehouse generates every day is already in the system — reporting just makes it visible. --- **Want to see what your warehouse data looks like in CannonWMS?** [Build your price](/pricing) or [talk to our team](/contact-us) about reporting and analytics.