Operations & Supply Chain

Operations & Supply Chain

Balance service levels, cost, and inventory.

Operations & Supply Chain Dashboards

Operations & Supply Chain Dashboards

Operations and supply chain dashboards exist to answer one core question:

“Are we delivering products efficiently, reliably, and profitably — and where is risk building?”

To do that well, dashboards must unify data across planning, procurement, production, logistics, and fulfillment. Below is a practical breakdown of what to track and where the data typically comes from.

Operations and supply chain dashboards exist to answer one core question:

“Are we delivering products efficiently, reliably, and profitably — and where is risk building?”

To do that well, dashboards must unify data across planning, procurement, production, logistics, and fulfillment. Below is a practical breakdown of what to track and where the data typically comes from.

Demand & Planning

Key Metrics

  • Forecast accuracy (MAPE, bias)

  • Demand vs supply variance

  • Backorder volume

  • Stock-out frequency

  • Sales & operations planning (S&OP) alignment


Common Data Sources

  • ERP demand planning modules (SAP IBP, Oracle Demantra, NetSuite)

  • CRM systems (Salesforce, HubSpot)

  • POS systems (retail sales data)

  • E-commerce platforms (Shopify, Amazon Seller Central)

  • Historical sales databases / data warehouses

Inventory Management

Key Metrics

  • Inventory on hand

  • Inventory turnover

  • Days inventory outstanding (DIO)

  • Excess & obsolete stock

  • Safety stock levels


Common Data Sources

  • ERP inventory modules (SAP S/4HANA, Oracle ERP, NetSuite)

  • Warehouse Management Systems (WMS)

  • Barcode / RFID systems

  • Third-party logistics providers (3PL portals)

  • Manual stock counts (CSV / spreadsheets for SMEs)

Procurement & Suppliers

Key Metrics

  • Supplier lead times

  • On-time delivery (OTD)

  • Purchase price variance

  • Supplier defect rates

  • Spend by supplier / category


Common Data Sources

  • ERP procurement modules

  • Supplier portals

  • E-procurement tools (Coupa, Ariba)

  • Accounts payable systems

  • Quality management systems (QMS)

  • Contract management systems

Manufacturing & Production (if applicable)

Key Metrics

  • Throughput

  • Capacity utilisation

  • Overall Equipment Effectiveness (OEE)

  • Scrap & rework rates

  • Production cycle time


Common Data Sources

  • Manufacturing Execution Systems (MES)

  • Industrial IoT / machine sensors

  • SCADA systems

  • ERP production orders

  • Maintenance systems (CMMS)

Logistics & Transportation

Key Metrics

  • On-time, in-full delivery (OTIF)

  • Transit time

  • Freight cost per unit

  • Carrier performance

  • Shipment exceptions & delays


Common Data Sources

  • Transportation Management Systems (TMS)

  • Carrier APIs (DHL, UPS, FedEx, Maersk)

  • GPS / telematics platforms

  • Freight forwarder reports

  • Customs & trade compliance systems

Order Fulfilment & Customer Service

Key Metrics

  • Order cycle time

  • Perfect order rate

  • Return rates

  • Fulfilment cost per order

  • Customer complaint volume


Common Data Sources

  • Order Management Systems (OMS)

  • ERP sales order tables

  • CRM / customer support tools (Zendesk, Freshdesk)

  • Returns management systems

  • E-commerce fulfilment platforms

Financial & Cost Visibility

Key Metrics

  • Cost to serve

  • Gross margin by product / region

  • Logistics cost as % of revenue

  • Working capital tied up in inventory

  • Cash-to-cash cycle time


Common Data Sources

  • ERP finance modules

  • General ledger

  • Accounts payable / receivable systems

  • Freight and warehousing invoices

  • Data warehouse / finance marts

Risk, Resilience & Exceptions

Key Metrics

  • Supplier concentration risk

  • Single-point-of-failure exposure

  • Delay and disruption alerts

  • Inventory coverage by critical SKU

  • Scenario impact simulations


Common Data Sources

  • ERP master data

  • Supplier risk platforms

  • External data feeds (weather, geopolitical risk)

  • Manual risk registers

  • Planning & simulation tools

How This Comes Together in Practice

High-performing operations dashboards typically follow this architecture:

  • Source systems → ERP, WMS, TMS, MES, CRM

  • Central data layer → Cloud data warehouse (Snowflake, BigQuery, Redshift)

  • Transformation layer → Business logic, definitions, and KPIs

  • Analytics layer → Dashboards for operations, finance, and leadership


The key is consistency: one definition of inventory, lead time, cost, and service level across the entire organisation.

Why This Matters

Without integrated operations dashboards:

  • Teams optimise locally but fail globally

  • Inventory grows while service still degrades

  • Issues are discovered too late — after customers feel them


With the right data foundations:

  • Bottlenecks surface early

  • Trade-offs become visible

  • Decisions move from reactive to predictive

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