Example findings
Realistic example cases that show how Money Leak surfaces hidden revenue loss in ecommerce order data.
Open cases
6
High priority
2
Total estimated loss
81,850 DKK
Example findings
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 and affected customer groups.
"What could have caused this pricing issue?"
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Likely reason: Outdated logic continued to affect selected orders.
Audit active pricing rules and remove outdated conditions.
"Which orders are still hitting the old logic?"
Quantity pricing mismatch
Volume discounts were triggered outside the intended quantity thresholds.
14,200 DKK
Likely reason: Quantity break logic did not match the intended commercial rules.
Review volume thresholds and affected SKUs.
"Which SKUs are affected by the threshold mismatch?"
Promotion-led margin erosion
Campaign orders increased volume but reduced margin below acceptable levels.
11,600 DKK
Likely reason: Discount and shipping logic interacted unfavorably.
Review campaign profitability and shipping thresholds.
"Which campaign window contributed most to margin loss?"
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 and campaign logic.
"Which discount combinations should we review first?"
Unusual order quantity pattern
Order quantities deviated from normal patterns and may indicate unit or packaging logic issues.
6,800 DKK
Likely reason: Quantity assumptions or unit pricing may be incorrect.
Review affected SKUs, package sizes and order patterns.
"Why is this case marked for review?"
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