AI System for Comparing Waste Records with Weighing and Delivery Documents

The problem

Waste quantities or codes may differ between documents in day-to-day operations. When internal waste record, type code, weighing, transport, delivery document and facility data are scattered across sensor, document, site or team records, the issue may not be identified in time.

This fragmented data delays preparation of the waste-record discrepancy report and forces teams to search for supporting evidence again by hand. Before making a decision, the environmental engineer must complete missing records and verify each inconsistency individually.

A common exception is that a weighing tolerance or approved code correction may create a valid discrepancy. Incomplete or incorrect automation that does not check this context could lead to an incorrect waste declaration or an unnecessary correction, so no physical or operational action can be taken directly.

What we set out to improve

• Number of reconciliation discrepancies confirmed by the environmental engineer
• Proportion of outputs corrected or rejected by the environmental engineer
• Time between the source event and the review output

How the system works

1. 01 Define the review scope and the role of the authorised environmental engineer
2. 02 Retrieve the inputs: internal waste record, type code, weighing, transport, delivery document and facility data
3. 03 Check the source identifier, date, calibration or version, and data recency
4. 04 Match records and documents by shipment
5. 05 Compare code, quantity and facility fields
6. 06 Check the exception: a weighing tolerance or approved code correction may create a valid discrepancy
7. 07 Place low-confidence or inconsistent records in a separate specialist queue
8. 08 Write the source identifier, rule, output and time to the audit trail
9. 09 Have the environmental engineer approve, correct, defer or reject the output

Methods we used

• Document-field and quantity reconciliation without interpreting waste classification
• Source, format, time and required-field checks for internal waste record, type code, weighing, transport, delivery document and facility data
• A missing-data warning instead of an estimate when inputs are incomplete or inconsistent
• A separate exception check outside the main rule
• Joint retention of the source, rule result, waste-record discrepancy report and human decision

Where people stay involved

Data and security

Internal waste record, type code, weighing, transport, delivery document and facility data are accessed with the narrowest permissions required for the task. Commercial, location and employee information is masked where possible, and only the necessary portion of the data is sent to the model rather than the complete raw dataset. Access, outputs and the environmental engineer's decision are recorded; production does not begin until the organisation approves the retention period and data location.

Who this suits

Frequently asked questions