Inventory Reconciliation (SIR)
Consolidate tank levels, delivery records, and sales data from multiple sources into a single platform to generate Statistical Inventory Reconciliation reports.
Aggregates tank level readings, delivery volumes, and POS sales into a unified dataset
Generates SIR (Statistical Inventory Reconciliation) reports for regulatory compliance
Cross-references data from ATGs, fuel deliveries, and point-of-sale systems
Identifies variances between expected and actual inventory — flagging potential losses early
Supports scheduled periodic generation (daily, weekly, monthly) or on-demand reporting
Reduces manual data gathering from disparate systems
Provides the evidentiary basis for environmental compliance and leak detection programs
Bringing It All Together for SIR
Statistical Inventory Reconciliation is a method used to detect underground storage tank leaks by comparing the amount of fuel that should be in a tank (based on deliveries and sales) against the actual tank level. The challenge is that the data needed for SIR comes from multiple, often disconnected sources — ATGs provide level readings, delivery tickets record inbound fuel, and POS systems track outbound sales.
Kii’s platform consolidates all of these data streams into a single environment, eliminating the manual effort of gathering records from different systems and reconciling them by hand.
Data Sources Consolidated
The platform captures and correlates data from across the fuel operation:
- ATG tank level readings — continuous inventory data from connected ATGs
- Delivery and fill event records — volume delivered, timestamps, and product grades
- POS sales data — fuel dispensed at the pump, captured through integrations with systems including Gilbarco Passport
- Environmental sensor data — interstitial, sump, and line leak detection results that complement the inventory picture
From Raw Data to Actionable Reports
By bringing these data sources together, the platform can identify discrepancies between calculated and measured inventory levels. These variances are the foundation of SIR analysis — a statistically significant variance can indicate a leak, metering error, or delivery discrepancy that requires investigation.
Reports are generated on a configurable schedule or on demand, and are formatted for submission to regulatory agencies as part of environmental compliance programs.
Reducing the Reconciliation Burden
For operators managing dozens or hundreds of sites, the manual process of collecting ATG printouts, cross-referencing delivery tickets, and pulling POS reports is time-consuming and error-prone. By automating data capture at the source and centralizing it in one platform, Kii transforms inventory reconciliation from a periodic manual exercise into a continuous, automated process.
Ready to Get Started?
See how Inventory Reconciliation (SIR) can transform operations.