Analytics for Supply Chain Management

Oracle Fusion Supply Chain Management (SCM) Analytics is a prebuilt cloud native solution for Oracle Cloud SCM that helps supply chain professionals uncover underlying drivers to improve efficiency, reduce costs, and ensure customer satisfaction.

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Prebuilt analytics for Oracle Cloud SCM

Understand order management and fulfillment performance

Identify demand trends and order promise issues

Analyze booking volume, backlog issues, return reasons based on organization, customer, product, time, and order details.

Evaluate order fulfillment and delivery performance

Ensure customer satisfaction by tracking KPIs such as percentage of on-time delivery, perfect order, shipped-in-full, on-hold orders, and more.

Discover bottlenecks in order-to-cash processes

Improve efficiency, revenue streams, and sales margins by analyzing cycle times from bookings to fulfillment to invoicing.

Sample prebuilt KPIs/metrics
  • Projected gross margin
  • Predicted delay amount
  • Sales orders on-time shipment percentage
  • Perfect sales orders and percentage
  • Open orders amount
  • Order fulfillment cycle time
  • Order fill rate
  • Sales orders shipped in full percentage

Get a clear picture of inventory movement and valuation

Ensure alignment of inventory levels with demand

Gain visibility into global supply networks, internal and external stocking locations, and goods in transit. Improve fill rates by tracking stock on hand at detail levels such as SKU, category, and item location, to keep up with demand forecast and support anytime, anywhere fulfillment.

Improve the efficiency of inventory management across multiple locations

Precisely analyze stock balances and inventory valuation across stocking locations needed to achieve target service levels, meet customer demand, and achieve high customer satisfaction. Manage costs, working capital, and inventory turn by optimizing fill rates, identifying slow-moving items, and determining the best warehouse locations for high-demand products.

Understand costs and profitability at a granular detail

Analyze production costs for work in process and finished goods as well as the handling costs of merchandise inventory at granular detail for accurate valuations. Identify cost-saving opportunities by examining cost details and trends for units, materials, overhead, labor, and handling.

Sample prebuilt KPIs/metrics
  • Inventory on hand quantity
  • Item unit cost
  • Receiving cycle time
  • Picking cycle time
  • Ship cycle time
  • Receiving efficiency
  • On-time shipments and picking percentage
  • Received lines on-time percentage and late percentage
  • Receipt lines accepted percentage and rejected percentage

Improve strategic sourcing, supplier management and procurement efficiency

Uncover cost-saving opportunities

Source more intelligently by tracking spend patterns, agreement compliance, and utilization by category, item, and suppliers.

Manage supplier risk and performance

Analyze supplier performance against contractual obligations using prebuilt metrics, such as on-time delivery, rejected shipments, and return rates. Quickly identify the root cause of poor supplier performance and take corrective action to minimize risk and supply chain disruptions.

Enhance procurement effectiveness

Monitor performance of the procure-to-pay process to ensure service level compliance. Use prebuilt KPIs to quickly analyze accounts payable and procurement data from requisitions, purchase orders, invoices, and supplier payments.

Sample prebuilt KPIs/metrics
  • Agreement utilization
  • Contracts expiring
  • Items on agreement
  • Shared services amount
  • Requisition-to-receipt cycle time
  • Purchasing analysis by discounts, shipped, short closed, and more
  • Receipt analysis by delivery, rejected, returns, ASN, and more

Optimize production and enhance quality

Timely insights into work order performance

Leverage ready-to-use key performance indicators (KPIs) to track work order execution. Discern patterns and bottlenecks across manufacturing stages to pinpoint the root causes behind deviations that influence overall output quality.

Detect anomalies in product quality to take fast corrective action

Quickly identify patterns in scrapped, rejected, canceled, and reworked items. Easily deduce the reasons for wastage and take corrective measures.

See production impact across the entire plan-to-produce process

Create a connected ecosystem across the entire process. Include Oracle Cloud Applications data and as well as other data sources to get a deeper understanding of factors impacting your bottom line.

Sample prebuilt KPIs/metrics
  • Work order metrics by status
  • Perfect work orders
  • On-time work orders
  • Average work order delay
  • Scrap and rework percentage
  • First pass yield and yield quantity variances
  • Throughput
  • Planned production attainment

View costs associated with your operations

Gain a deeper understanding of where costs incurred

Analyze cost distribution for a cost organization and cost book by period, transaction type, accounting line type, and items. Get insights such as purchase price variance at different levels of granularity.

Uncover pricing and profitability insights for strategic decision-making

Get detailed analysis into your COGS and gross margin metrics by channel, regions, and customer dimensions. Gain granular insights about your cost and margin elements.

Sample prebuilt KPIs/metrics
  • Unit cost
  • Cost by elements (material, overhead, resource)
  • Profit in inventory cost
  • Transaction and costed quantity
  • Revenue
  • Cost of goods sold
  • Gross margin percentage
  • Transaction amount (debit, credit, net)

Advantages of prebuilt Fusion SCM Analytics

  Oracle Cloud SCM

With Oracle Fusion SCM Analytics:

With third-party tools:

Prebuilt capabilities
More than 2,000 ready-to-use, best practice KPIs, metrics, dashboards, and reports
not available
Native integration with Oracle Cloud SCM
not available
Fast performing, prebuilt analytics data model
not available
Rapid implementation—no coding required
not available
Incremental updates based on Oracle Cloud SCM releases
not available
Inherited role-based security from Oracle Cloud SCM
not available
Single shared data model for Oracle Cloud Applications (SCM, ERP, HCM, and CX)
not available
Extensibility capabilities
Self-service tools for custom visualization and report creation
More than 50 native self-service connectors to diverse data sources
Machine learning and predictive analytics available to anyone
Insights from natural language processing


Incomplete offering

Not available
Oracle Fusion Analytics will allow us deeper visibility and insight into the core operations of our business while extending analytics capability out to our end users with less dependency on writing custom reports and data model maintenance.
Tom Cullen, CIO, Corsair

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