Order Fill Rate
98.4%
Percentage of order lines fulfilled completely from available stock on first pick attempt
▲ Target: 99% — closing in
Featured Dashboard
Warehouse & Inventory Operations Dashboard
Order Fill Rate, Pick Accuracy, and Inventory Turns across every category and zone — SKU velocity, order cycle time, and days-on-hand in one view. Built for warehouse managers and supply chain directors who need fulfillment visibility without pulling five WMS reports.
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Audience
Who This Dashboard Is For
Ideal For
- Charlotte-area distribution centers and 3PLs operating on the I-85/I-77 corridor — e-commerce fulfillment, retail replenishment, and industrial distribution operations with 50,000+ sq ft of warehouse space
- Warehouse managers and supply chain directors who currently track Order Fill Rate, Pick Accuracy, and Inventory Turns from daily WMS export emails or monthly finance reports
- Operations leaders at distribution centers running a WMS (Manhattan Associates, Blue Yonder, SAP EWM, NetSuite WMS, or Fishbowl) with 10+ order pickers
- Companies managing multi-category inventory (electronics, apparel, food, industrial) who need days-on-hand visibility by category without custom SQL or quarterly finance runs
- 3PL operations where client SLA compliance (fill rate, on-time shipment, pick accuracy) needs to be tracked and reported by client account
Not Ideal For
- Small warehouses with fewer than 5 employees and no WMS — a spreadsheet-based operation does not generate the structured transaction data this dashboard requires
- Single-SKU or very narrow assortment operations where inventory analytics adds little value over simple stock-level monitoring
- Organizations without a WMS or ERP inventory module — manual receiving and picking logs do not provide the data structure needed for fill rate, pick accuracy, or inventory turns calculation
By the numbers
Metrics That Drive Decisions
Real impact, clearly measured. These KPIs show the tangible outcomes of data-informed strategy.
Inventory Turns
12.3×
Annual inventory turns — higher indicates efficient stock utilization and lower carrying cost
▲ Industry avg: 8×
Pick Accuracy
99.7%
Percentage of order picks completed without errors — directly tied to return rate and customer satisfaction
▲ < 0.3% error rate
On-Time Shipment
96.8%
Percentage of orders shipped on or before the promised ship date
▼ -0.4 pp — carrier delay spike
From challenge to success
From WMS Export Emails to Live Fulfillment Visibility
How we turned fragmented data into a single source of truth—and what we achieved.
The challenge
Charlotte's distribution centers — serving major retail, e-commerce, and industrial customers through the I-85 corridor — track Order Fill Rate and On-Time Shipment from daily WMS email exports that arrive at 7 AM and are already 12 hours old. Pick accuracy is calculated monthly by counting exception reports. Inventory turns are estimated from the ERP inventory valuation report that finance runs quarterly. When a high-velocity SKU stockouts, the warehouse manager finds out when the order fails — not 48 hours before when a reorder trigger would have prevented it.
- WMS systems contain all fulfillment data (orders, picks, shipments, receiving) but visibility requires extracting 4-5 separate reports — fill rate, cycle time, carrier performance, pick exceptions — none in a single view
- Inventory turns calculation requires joining WMS transaction history with ERP inventory valuation — typically done by finance quarterly rather than operationally in real time
- Days-on-hand by SKU or category is not a standard WMS report — calculating it requires custom SQL against the inventory table, which warehouse managers don't have access to
- Slow-moving inventory identification relies on annual physical counts or quarterly ERP reports — overstock isn't visible until it's a cash flow problem
Our approach
We connect your WMS (Manhattan Associates, Blue Yonder, SAP EWM, or NetSuite WMS) and ERP inventory module to a Power BI dashboard that refreshes every 30 minutes. Warehouse managers see Order Fill Rate and Pick Accuracy by zone in near-real-time. Supply chain directors see Inventory Turns and days-on-hand by category without waiting for a finance report. SKU velocity ranking surfaces the top movers and flags slow-moving stock before it becomes obsolete.
- Connect WMS (Manhattan SCALE/Active, Blue Yonder WMS, SAP EWM, NetSuite) via ODBC or REST API for order, pick, shipment, and receiving transactions — refresh every 30 minutes for near-real-time visibility
- Build inventory turns calculation as a DAX measure joining WMS transaction volume with ERP on-hand quantity snapshot — eliminates the quarterly finance report dependency
- Create days-on-hand by SKU and category view with color-coded thresholds (≤14 days = green, ≤30 = teal, ≤45 = amber, >45 = red) so buyers see overstock risk without custom SQL queries
- Add SKU velocity ranking (top movers vs slow movers) to surface reorder triggers and dead-stock candidates in the same dashboard that warehouse managers already use daily
What we achieved
Pick accuracy exception identification moved from monthly review to daily — warehouse manager caught a zone B scanner calibration issue in day 2 that was causing 0.8% pick error, fixed before the weekly volume spike
Inventory turns visibility enabled supply chain director to identify 3 categories with >60 days-on-hand, triggering a clearance push that freed $340K in working capital
Order Fill Rate monitoring at 30-minute refresh gave the operations team a 4-hour warning on a high-velocity SKU shortage, enabling a same-day emergency PO
On-Time Shipment carrier comparison surfaced one carrier with a 12% on-time rate vs the 97% fleet average — carrier swap completed within the quarter
Morning WMS report email eliminated — warehouse managers read the dashboard from their tablet during the 6 AM floor walk instead of waiting for the 7 AM email
Results verifiedRead full case study
FAQ
Frequently Asked Questions
Find answers to common questions about this dashboard and our process.
We support Manhattan Associates SCALE and Manhattan Active WMS (via REST API or SQL reporting database), Blue Yonder WMS (SQL or API), SAP Extended Warehouse Management (via SAP BW or direct SQL), NetSuite WMS (REST API), and Fishbowl (ODBC). For operations using 3PL WMS platforms (3PL Central, Deposco), we connect via the platform's REST API or webhook feed. Integration method and refresh frequency are confirmed in the scoping call based on your system's API capabilities and IT security configuration.
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