ROI Dashboard
Estimated operational savings and capacity gains from AI-assisted processing. All figures are ESTIMATES based on customer-provided assumptions — not guaranteed results.
ESTIMATEProjections based on operational assumptions. Designed to reduce manual processing and increase quote capacity.
Before AI vs AI-Assisted
Before AI
Processing time per RFQ30–45 min
Daily RFQ capacity (per broker)~12
Labor hours / month2,080
Labor cost / month$124,800
Quote win rate41%
AI-Assisted
Human review time per RFQ30–90 sec
Daily RFQ capacity (per broker)~120
Labor hours / month312
Labor cost / month$18,650
Quote win rate47%
RFQs Processed (Mo)
538
Hours Saved (Mo)
312
Labor Savings (Mo)
$18,450
Quotes Won (Mo)
187
Add'l Quote Capacity
10×
vs manual processing
Est. Revenue (Mo)
$248,000
Est. Gross Profit (Mo)
$58,400
Processing Time Reduction
−67%
142s → 47s avg
ROI Calculator
Inputs
Projected Outcomes (Estimate)
Current labor hours / month6,783
Current labor cost / month$407,000
AI-assisted labor hours / month220
Estimated hours saved / month6,563
Estimated labor savings / month$393,800
Additional processing capacity10×
Potential additional revenue / month$1,015,000
Potential additional gross profit / month$233,450
Estimates based on customer-provided assumptions. Actual results vary with volume, lane mix, carrier availability, and operational adoption.
Service Configuration
Initial Implementation
$15,000
One-time setup: workflow architecture, custom fields, pipelines, AI prompts, integrations, and broker training.
Monthly AI Operations
$2,000/mo
Workflow optimization, prompt optimization, exception monitoring, integration monitoring, AI performance review, edge-case remediation, and operational reporting.