How to Calculate the ROI of AI Loss Prevention
De Flow AI Team
Implementation Guide
How to Calculate the ROI
of AI Loss Prevention
By De Flow AI Team
Start With the Loss You Can Actually Recover
Every business case starts with a baseline. Pull your annual shrink figure, then segment it into recoverable categories. Not every dollar of shrink is addressable by AI — but external theft, scan avoidance, and process error usually are.
Rule of thumb: if your shrink is $4M/year and 65% is addressable, a conservative 30% reduction on the addressable portion recovers roughly $780K annually.
🧮 The Four-Line ROI Model
| Line Item | How to Estimate | Example |
|---|---|---|
| Shrink recovered | Addressable shrink × reduction % | +$780K |
| Labor savings | Hours saved on CCTV review × rate | +$120K |
| Sales protected | Fewer OOS + deterrence uplift | +$200K |
| Program cost | Annual subscription (no hardware) | −$220K |
Net Year-One Benefit
≈ 4x return with payback under 4 months
⚠️ The Hidden Costs Teams Forget
🔌 Integration time
Budget for POS and camera connections — usually days, not months, with a SaaS approach.
🎓 Change management
Train staff to act on alerts — adoption drives the savings, not the software alone.
📉 Ramp period
Model the first 60-90 days at partial benefit while the system learns your stores.
"The CFO approved it in one meeting. When the model uses your real shrink numbers and existing cameras, the payback math is hard to argue with."
— VP Loss Prevention, multi-format retailer
Build your business case in an afternoon
We'll model the ROI using your actual shrink and store data.
Request an ROI Model →