You are losing money in your orders. You just do not see it yet.
Money Leak scans ecommerce order data and finds pricing errors, discount issues, anomalies and hidden revenue leaks — then turns them into prioritized cases your team can act on.
Built for ecommerce businesses with complex pricing, discounts and operational reality.
Detected cases
Last scan · 2 hours ago
Estimated loss detected
81,850 DKK
- P1Actionable
Incorrect B2B pricing
22,400 DKK - P1Actionable
Legacy price logic still active
18,100 DKK - P2Handled
Quantity pricing mismatch
14,200 DKK - P2Ignored
Discount stacking error
8,750 DKK
Incorrect B2B pricing
Estimated loss
22,400 DKK
Recommended action
Review role-based pricing setup
From your ecommerce data to operational action.
A clear value chain — from where your data comes from, to what Money Leak does with it, to who acts on the results.
Connect your ecommerce platform securely.
- WooCommerce
- ShopifyComing soon
Operational analysis and revenue leak detection.
- Revenue leak detection
- Operational anomalies
- Pricing inconsistencies
- Prioritized cases
- AI-assisted context
Designed for operational ecommerce teams.
- Ecommerce
- Operations
- Finance
- Management
From visibility to action.
- Prioritized cases
- Operational insights
- Faster issue discovery
- Revenue visibility
- Reduced manual investigation
Money Leak helps ecommerce businesses identify operational anomalies and potential revenue leakage before they become long-term blind spots.
The problem is not your data. It is what is hiding inside it.
Most ecommerce businesses already have dashboards, reports and order history. The problem is that revenue leakage hides inside operational details — order by order, rule by rule.
Pricing errors silently cost money
Discount logic reduces margin in unexpected ways
B2B pricing can break without being noticed
Quantity rules can trigger incorrectly
Margin disappears order by order
These problems rarely show up in dashboards. They show up as lost revenue.
Find the leaks. Understand them. Act faster.
Detect hidden revenue leaks
Money Leak scans order-level data and identifies concrete signs of pricing errors, discount issues and operational leakage.
Prioritize the cases that matter
Findings are grouped into prioritized cases with estimated financial impact, severity and action status.
Move from insight to action
Each case is framed in business terms, so your team knows what to review and what to fix first.
What you actually see inside Money Leak
Money Leak does not leave you with raw reports. It gives you a prioritized operational view of where money may be slipping through.
Dashboard overview
See total estimated leakage, top leak types, affected customers and high-priority cases.
Prioritized case queue
Review the most important findings first, with status, severity, estimated impact and recommended action.
Case detail
Understand what happened, why it matters and what should be reviewed.
AI-assisted explanation
Ask follow-up questions about findings, possible causes and next operational steps.
Operational AI assistance — grounded in your detected cases
Money Leak includes a contextual AI assistant that helps teams understand findings faster. It works from detected cases, estimated impact and operational context, so teams can ask better follow-up questions and prepare the next review step.
Explore why a case may have occurred
Understand anomaly patterns
Ask follow-up questions about affected orders, customers or products
Prepare practical next steps for review
Reduce the time from finding to action
The AI assistant supports understanding and follow-up. It does not replace the detection engine and it does not take actions on your behalf.
Q
What could have caused this pricing issue?
A
Role-based pricing rules did not apply for 3 wholesale accounts across 47 orders. Likely cause: a recent rule change left a customer group outside the active pricing scope. Review the wholesale role and the affected accounts before adjusting rules.
From store data to first leak review
- 1Intro conversation
- 2Guided data access
- 3Initial leak scan
- 4First findings review
- 5Platform access
Example findings
Realistic example cases that show how Money Leak surfaces hidden revenue loss in ecommerce order data.
Incorrect B2B pricing
A segment of B2B customers received lower prices than intended across multiple orders.
22,400 DKK
Likely reason: Role-based pricing rules did not apply as expected.
Review role-based pricing setup
Discount stacking error
Multiple discounts were applied together in a way that reduced margin more than expected.
8,750 DKK
Likely reason: Coupon and campaign rules overlapped.
Review discount combinations
Legacy price logic still active
Older pricing conditions remained active after a commercial change.
18,100 DKK
Likely reason: Outdated logic continued to affect selected orders.
Audit active pricing rules
Built for businesses where pricing complexity creates risk.
Ecommerce businesses with discount logic
B2B and mixed B2B/B2C stores
Brands with quantity or volume pricing
Operators who need clear actions, not more reporting
Agencies supporting complex stores
Built for operational trust
Money Leak is designed for teams that need clear, explainable findings — not another black box.
Case-based findings instead of raw dashboards
Estimated financial impact on each case
Clear recommended review actions
AI assistance that supports explanation, not autonomous action
Designed around real ecommerce complexity
Built as a serious operational platform.
Money Leak is designed for ecommerce teams that need predictable, controlled and explainable software — not another black-box tool.
EU-hosted core infrastructure
The detection engine and case data run on EU-based infrastructure.
Role-based access control
Access to cases and shop data is scoped per user role and per shop.
Multi-shop isolation
Each connected shop is isolated, so data and findings stay separated.
AI-assisted, not autonomous
The AI assistant supports review and explanation. It does not take actions in your shop.
Operational decision support
Findings are framed as cases with impact and recommended review — decisions stay with your team.
Let us find where money may be slipping through.
Request a leak analysis and see whether pricing errors, discount issues or operational anomalies are hiding in your order data.