Realtime Revenue Leak Detection
Your agent detects hidden revenue leaks across retail and ecommerce — availability, momentum, and mix — then pushes custom alerts to the stakeholders who can act.
The number softens. The team scrambles. The leak keeps running.
CPG teams can spend heavily on reports, retailer portals, spreadsheets, and internal data work, and still miss the issues that quietly drain revenue.
- Productive SKUs go dark in stores where shoppers were buying.
- Velocity erodes while distribution still looks stable.
- Low-turn SKUs keep space while stronger items stay constrained.
- Issues hidden deep in the data go un-noticed, and eventually become the norm.
Availability. Momentum. Mix.
MagneticML separates the kind of leakage you are looking at so teams know where to investigate first.
Availability
Can shoppers actually buy the product where demand exists?
Momentum
Is demand weakening before the slowdown becomes obvious?
Mix
Are the wrong products, channels, retailers, or regions draining performance?
Not just “insights.” Complete decision-ready signals.
Each output states what changed, why it matters, the commercial impact, and what to do next.
Email, Slack, Teams, and text — tuned to who needs to act.
Some moments need a full alert. Some need a quick push. MagneticML can tailor the delivery format to the role, urgency, and channel.
⚠ Availability Risk: Maple Pecan 12ct @ Walmart
286 stores have recorded 2 consecutive weeks of zero sales after averaging 8.4 units/store/week.
Estimated impact: $124K revenue at risk over 4 weeks.
Interpretation: Category demand is stable. This looks like a replenishment, item status, or store execution issue, concentrated in Southeast and South Central clusters.
Recommended action: Escalate to the Walmart team and supply chain. Review item setup and DC replenishment for affected doors.
✓ Weekly Health Summary
No material availability, momentum, or mix exceptions crossed alert thresholds this week. Continue standard monitoring across top SKUs and key accounts.
Maple Pecan 12ct is going dark at Walmart.
Impact: 286 stores affected · $124K revenue at risk over 4 weeks.
Why it matters: Category demand is stable, pointing to a replenishment, item status, or store execution issue.
Next action: Escalate to the Walmart and supply chain teams. Start with Southeast and South Central clusters.
From messy data to first signals in two weeks.
MagneticML monitors the data sources brands already use, standardizes the business, detects material changes, and pushes signal packages with context.
Ingestion
Connect POS, ecommerce, DTC, shipment, and inventory feeds — including messy retailer files and refresh cycles.
Engineering
Standardize products, stores, retailers, channels, geographies, and calendars into one commercial model.
Detection
Use AI and tuning logic to scan for meaningful changes across availability, momentum, and mix.
Delivery
Push concise signal packages based on the SKUs, retailers, channels, and priorities each recipient owns.
Catch leakage earlier. Diagnose it faster. Act sooner.
The value is earlier detection of what is costing the business money — without asking leaders to comb through reporting first.
Revenue protection
Detect availability failures, voids, velocity declines, and mix leaks before they compound.
Time efficiency
Automate the manual work of finding, checking, and explaining what changed.
Faster decisions
Give sales, brand, ecommerce, marketing, and leadership teams the signals they need when it is time to act.
Scale without headcount
Enable analytics and operations teams to support more retailers, SKUs, and business units without more manual analysis burden.
Start with Advanced. Go Custom when the business needs deeper tuning.
Most brands start with the full Advanced package. Custom is for larger or more complex organizations that need detection logic built around their operating model.
Advanced
For scaling brands managing multiple retailers and channels.
- Up to 10 data sources processed weekly
- Advanced revenue-leak detection across availability, momentum, and mix
- Up to 10 recipients with custom context logic
- Weekly alerts and health summaries delivered to key stakeholders in email or Slack
Custom
For mature organizations operating across large retail networks.
- Custom source coverage and processing volume
- Custom revenue-leak detection model
- Unlimited recipients with stakeholder-specific context
- Custom workflows, thresholds, and delivery cadence in email, Slack, Teams, or text
Focused starts for emerging brands can be scoped around one priority retailer, channel, or product family without making the main package smaller.
Run the first leak scan.
Pick one priority area — a retailer, channel, product family, or region where leakage is painful. MagneticML connects the relevant data, delivers first signals, and tunes the context with your team.