Loss Prevention Specialist
Investigate and resolve vendor and receiving fraud
What You Do Today
Audit receiving processes for vendor fraud — short shipments, substitutions, fictitious deliveries, and collusion between vendors and receiving staff. Reconcile purchase orders against received inventory.
AI That Applies
AI matches delivery documentation against purchase orders and actual inventory changes automatically, flagging discrepancies in real-time. Identifies patterns of vendor fraud across locations.
Technologies
How It Works
The system aggregates vendor performance data — pricing, delivery, quality metrics, and contract compliance. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
Receiving fraud detection becomes continuous rather than relying on periodic audits. You catch discrepancies before they compound.
What Stays
Investigating suspected collusion — and handling it professionally without damaging vendor relationships when it turns out to be an honest mistake — requires investigative and interpersonal skill.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for investigate and resolve vendor and receiving fraud, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long investigate and resolve vendor and receiving fraud takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your claims director or VP Claims
“Which vendor evaluation criteria could be scored automatically from data we already collect?”
They're setting the automation strategy for your unit
your SIU lead
“What's our current contract renewal process, and where do we miss optimization opportunities?”
AI fraud detection changes how investigations are triggered and prioritized
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.