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Inventory data

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Inventory data refers to the information captured, stored, and processed about the stock, supplies, or resources that an organization manages for operational purposes. This data is typically used in inventory management systems (IMS), enterprise resource planning (ERP) software (for example, SAP, Oracle NetSuite), or supply chain management platforms to track quantities, locations, statuses, and movements of inventory items. It is integrated with e-commerce platforms, point-of-sale (POS) systems, and procurement modules. Inventory data is commonly stored in structured formats like SQL databases or exchanged in formats such as JSON, XML, or EDI (Electronic Data Interchange). 

Inventory data is critical for supply chain management, warehouse operations, demand planning, and financial reporting. It helps organizations monitor stock levels, prevent shortages or overstock situations, optimize supply chains, and ensure accurate reporting for business operations. It also supports automation through integration with barcode scanners, RFID systems, and IoT devices. Sensitive supplier and procurement data must be protected from unauthorized access.

Inventory data typically includes:

  • Stock quantity data: Information about the number of items available in inventory
  • Location data: Data about where inventory items are stored within facilities
  • Item identification data: Data used to uniquely identify inventory items
  • Inventory value data: Information about the financial value of inventory items
  • Inventory status data: Data about the condition or availability of inventory
  • Inventory movement data: Data about the movement of inventory within or between locations
  • Reorder Llevel and safety stock data: Data used to maintain adequate inventory levels
  • Batch and lot data: Information about inventory tracked in batches or lots for quality control or traceability
  • Inventory aging data: Data about how long inventory items have been in stock
  • Demand forecast and historical data: Data used to predict future inventory needs based on past trends
  • Supplier and procurement data: Data about inventory procurement and vendor relationships
  • Inventory turnover data: Data about how frequently inventory is sold or used
  • Damaged or returned inventory data: Data about inventory that is defective or returned by customers
  • Serialized inventory data: Information about items tracked individually using serial numbers

The Splunk Common Information Model (CIM) add-on contains an Inventory data model with fields and tags that describe common computer infrastructure components from any data source, along with network infrastructure inventory and topology. This is NOT the same as the type of inventory described here, and the CIM model cannot be used to normalize this data.

Before looking at documentation for specific data sources, review the Splunk Docs information on general data ingestion: 

Use cases for the Splunk platform