Freight claims automation ROI calculator
Enter your monthly claims volume, average payout, and current recovery rate to calculate how much additional revenue and ops time freight claims automation would unlock. Most logistics teams see 80%+ recovery and 90%+ reduction in manual filing hours within 90 days.
How does manual claims processing compare to AI automation?
The ROI comes from two sources: higher recovery rates and dramatically less time per claim. These are the aggregate benchmarks behind the calculator.
What is your freight claims automation ROI?
Adjust the inputs to match your operation. Results update instantly.
Your current claims operation
Total claims filed per month
Typical payout per resolved claim
% of eligible claims you collect today
Average ops time to file one claim
Fully-loaded cost per ops hour
CorePiper assumption
Target recovery rate: 80%
Time per claim: ~6 min review
$36,000
Additional monthly recovery
vs. current 40% rate
1,200
Hours saved per month
$42,000 in labor value
$78,000
Total monthly value
Recovery + labor savings
$936,000
Projected annual return
Recovery + ops savings
Estimates use an 80% target recovery rate and 6-minute human review per claim based on aggregate customer data. Individual results vary by carrier mix, claim complexity, and current process maturity. Not a guarantee of specific outcomes.
How does the calculator estimate ROI?
Two levers drive the return: more claims recovered and fewer hours spent filing them.
Recovery uplift. The calculator compares your current recovery revenue — monthly volume multiplied by average claim value at your stated recovery rate — against CorePiper's 80% target rate. The difference is additional monthly revenue that previously stayed with the carrier. The 80% figure reflects the aggregate outcome for operations that file every eligible claim on time with complete evidence, which SOP-driven AI automation achieves consistently where manual processes do not.
Labor savings. A typical manual claims workflow requires 2–3 hours per claim: locating the shipment in TMS, pulling BOL and POD, building the evidence packet, navigating the carrier portal, and logging the submission. CorePiper's AI agents handle evidence assembly and filing end-to-end — ops staff review a pre-built packet rather than building it from scratch. The 6-minute review estimate is conservative; many teams report under 4 minutes once the workflow is tuned to their carrier mix.
What the calculator does not capture. The ROI estimate excludes three additional value drivers: deadline compliance (every claim filed within the carrier window — zero forfeitures from missed deadlines), appeal recovery (CorePiper auto-escalates denials with supplemental evidence, recovering an additional 8–15% of initially denied claims), and reduced claims leakage from exception detection (the agent identifies claim-eligible events in real time, catching exceptions that ops teams miss in high-volume environments). Including these would increase the estimated return further.
How long until freight claims automation pays for itself?
For most mid-market logistics teams, the answer is measured in weeks, not quarters.
CorePiper's Pro plan starts at $99/month and includes 75 resolved cases with a $2/case overage. A shipper running 500 claims per month at the calculator's default inputs captures roughly $32,400 in additional monthly recovery — meaning the software pays for itself in under 24 hours of operation. Even at half the projected recovery uplift, payback is measured in days.
The math is similar for labor: 210 hours saved per month at a $35/hour fully-loaded cost frees $7,350 of ops capacity monthly — capacity that typically gets reallocated to proactive carrier relationship management and exception pattern analysis rather than form-filling.
For context on how claims automation compares to the broader AI agent landscape, see the 2026 State of Freight Claims report and the logistics claims automation solution page. For teams evaluating SOP-driven AI automation across multiple platforms, the OS&D claims automation guide walks through a full workflow implementation.
Frequently asked questions
What logistics teams ask when evaluating the ROI of freight claims automation.
- How is the freight claims ROI calculated?
- The calculator compares your current recovery revenue (volume × average value × current rate) against CorePiper's 80% target recovery rate, then adds labor savings based on time freed from manual form-filling. Annual ROI is twelve times the combined monthly uplift. Individual results vary by carrier mix and process maturity.
- What recovery rate should I expect from freight claims automation?
- Teams that migrate from manual claims processes to SOP-driven AI automation typically move from a 30–40% baseline recovery rate to 75–85%. The improvement comes from two sources: filing every eligible claim before carrier deadlines expire, and submitting complete evidence packets on the first attempt — eliminating the documentation-gap denials that reduce manual recovery rates.
- How long does freight claims automation take to pay for itself?
- Most logistics teams using CorePiper recover implementation costs within 60–90 days. A shipper running 500 claims per month with an average $180 payout who improves recovery from 40% to 80% captures roughly $32,400 in additional monthly recovery alone — before counting labor savings. CorePiper's Pro plan is $99/month.
- Does the calculator account for carrier-specific claim rules?
- The calculator uses aggregate assumptions based on standard carrier claim eligibility and evidence requirements. In practice, CorePiper runs separate SOPs for FedEx, UPS, USPS, and DHL — each tuned to that carrier's deadline windows, form requirements, and appeal procedures. Actual recovery will reflect your specific carrier mix.
- What is included in the hours-saved estimate?
- The calculator assumes an average 2.5 hours of manual labor per claim under a typical ops workflow: locating the shipment, pulling BOL and POD from TMS/WMS, building the evidence packet, navigating the carrier portal, and logging the submission. CorePiper reduces this to roughly 6 minutes of human review per claim — the AI handles evidence assembly and filing.