Enterprise Intelligence Group

Where Distribution Margin Leaks—and How to Investigate It

A practical review of pricing exceptions, deductions, cost changes and rebate controls, with a disciplined approach to evaluating automation.

Distribution margin can be affected by gaps between agreed commercial terms, operational processes and the transactions recorded in systems. The scale varies by business. It should be established from evidence, not assumed from an industry-wide percentage.

Five areas to examine

An exception is a reason to investigate, not proof that recoverable margin has been lost. Contract terms, customer agreements and data quality must be checked before action.

Build a review that leads to decisions

Start with a defined transaction sample and review period. Agree the relevant data sources, commercial rules and people responsible for resolving exceptions.

For each finding, record the transaction, expected treatment, actual treatment, supporting evidence, estimated financial effect and next decision. Distinguish potential exposure from confirmed loss, and confirmed loss from money that can realistically be recovered.

Repeated exceptions may point to a process, ownership, data-mapping or system-control issue. Correcting the underlying cause can be more useful than repeatedly investigating the same symptom.

Where automation and AI may help

Rules-based checks, reporting and workflow automation may address some requirements. Generative AI or Agentic AI may be worth evaluating where interpreting information or coordinating exceptions adds value.

Any proposed approach needs representative data, appropriate access controls, testing and human accountability. Monitoring frequency depends on the available integrations and operating requirements; real-time intervention should not be assumed.

Changes to prices, customer terms or financial records should remain subject to agreed authorization and controls.

How EIG can help

EIG can help analyse the process, document requirements, assess data and system dependencies, and evaluate suitable technology options. The engagement’s outputs and implementation boundaries are agreed before work begins.

Explore retail data and integration consulting, review pricing and promotion support, or discuss your project.

The EIG Library  ·  Insights  ·  AI Maturity Assessment  ·  Contact