Comlytix
From fragmented signals to explainable commercial action.
The engine evaluates acquisition, commerce, customer, inventory, fulfilment and finance together. It recommends actions with expected impact, confidence, evidence and risk—then routes material decisions through human approval.
Increase Google Shopping investment by A$12,000 over 21 days.
Recommendations move through a governed operating process.
Start with bounded, commercially meaningful decisions.
Scale, reduce or reallocate spend by campaign, product, region or audience.
Rank B2B opportunities, reorders and at-risk accounts using commercial evidence.
Evaluate margin, stock, credit, demand and strategic account value.
Recommend replenishment, allocation, promotion or transfer based on forecast demand.
Adjust carrier, service, geography or promise when cost or reliability changes.
Prioritise customer or account interventions using value, cadence and service signals.
The recommendation is not a black box.
| Control | Recorded evidence |
|---|---|
| Source lineage | Systems, entities, timestamps, freshness and quality status used in the decision |
| Metric policy | Revenue, cost, margin, attribution and confidence definitions |
| Model version | Rules, scenario logic, assumptions and change history |
| Authority | Decision owner, reviewers, threshold and delegated approval |
| Outcome | Approved action, actual result, variance and learning retained for future decisions |
Select the first decision worth governing.
The strongest starting point is a recurring decision with measurable commercial impact, sufficient data and a clear human owner.