12 months of AI-run freight operations
Cumulative impact of 8 HappyRobot workflows on revenue, cost, and operating leverage since launch.
12-month cumulative savings
Monthly savings stacking into compounding value (orange = monthly, teal = cumulative)
AI vs human effectiveness
Side-by-side across all 8 workflows
| Workflow | AI | Human | Accuracy |
|---|---|---|---|
| Quote Creation | 4.2 min | 47 min | 96.4% / 92.1% |
| Shipment Creation | 1.8 min | 22 min | 98.1% / 94.6% |
| Status & Tracking | 9 sec | 6.5 min | 99.2% / 95.8% |
| Customer Service | 38 sec | 8.2 min | 94.7% / 91.4% |
| Delivery Notifications | instant | 3.4 min | 99.6% / 88.2% |
| Payments & Collections | 2.1 min | 11 min | 93.8% / 89.5% |
| Appointment Scheduling | 1.4 min | 9.6 min | 97.2% / 93% |
| Route Check Calls | 1.9 min | 7.4 min | 95.8% / 90.6% |
Savings by workflow
Where the $1.18M came from
Quote pipeline & revenue influence
How fast inbound emails became booked freight over the year.
Quote funnel
Full 12-month flow
Quotes generated vs converted
Monthly volume with conversion ratio
Open pipeline value
Revenue from converted quotes
Quotes lost (no response / competitor)
Win rate by trade lane
Where AI quoting is most competitive
Win rate by shipment type
Higher-margin modes lead conversion
Operations: from inbox to booked shipment
How much manual data entry the AI removed — and how accurately.
Shipment creation throughput
Accuracy & data quality
Visibility without dispatcher involvement
Every shipment tracked, every customer informed, automatically.
Shipments currently at risk
Flagged by AI before customer complaint
Customer experience, on autopilot
Most customers never need to ask — the AI tells them first.
Inbound resolution
Top inquiries & AI resolution rate
Where the model is strongest — and where it still hands off
CSAT trend (out of 5)
Steady climb as AI handles more touch points
Delivery notifications
Inbound volume deflection
Cash flow & collections
AI follow-up shaved 18 days off DSO and reduced collections workload.
DSO over 12 months
Compounding effect of automated follow-up
Overdue breakdown by aging
Where the at-risk dollars sit
Coordination, automated
Two workflows that eliminated the dispatcher phone-tag burden.
Appointment scheduling
Route check calls
Improving every month, across every workflow
Quality, not just volume — first-contact resolution rising and error rate falling.
First-contact resolution
Inquiries handled in one turn
Error rate trending down
Composite across all 8 workflows
AI accuracy by workflow
Latest 30-day window
AI vs human — full performance comparison
All 8 workflows, side by side
| Workflow | AI time | Human time | AI accuracy | Human accuracy | AI volume / yr | Human capacity |
|---|---|---|---|---|---|---|
| Quote Creation | 4.2 min | 47 min | 96.4% | 92.1% | 19,240 | 4,800 |
| Shipment Creation | 1.8 min | 22 min | 98.1% | 94.6% | 5,842 | 3,120 |
| Status & Tracking | 9 sec | 6.5 min | 99.2% | 95.8% | 38,412 | 9,600 |
| Customer Service | 38 sec | 8.2 min | 94.7% | 91.4% | 14,186 | 6,240 |
| Delivery Notifications | instant | 3.4 min | 99.6% | 88.2% | 23,980 | 11,200 |
| Payments & Collections | 2.1 min | 11 min | 93.8% | 89.5% | 4,864 | 2,080 |
| Appointment Scheduling | 1.4 min | 9.6 min | 97.2% | 93% | 9,512 | 3,840 |
| Route Check Calls | 1.9 min | 7.4 min | 95.8% | 90.6% | 14,402 | 4,680 |
Strategic insight from 12 months of AI-collected data
Where to grow, where to defend, and where to walk away.
Top 10 most profitable trade lanes
Revenue × margin × growth direction
| Lane | Shipments | Revenue | Margin | Trend |
|---|---|---|---|---|
| VN → US West Coast | 412 | $2.14M | 24.6% | ▲ Growing |
| CN → US West Coast | 1,122 | $5.18M | 18.2% | ◆ Stable |
| KR → US West Coast | 296 | $1.41M | 22.4% | ▲ Growing |
| US → MX (Inbound) | 482 | $1.18M | 21.1% | ▲ Growing |
| EU → US East Coast | 528 | $2.41M | 19.8% | ◆ Stable |
| JP → US West Coast | 224 | $1.08M | 20.2% | ◆ Stable |
| CN → US East Coast | 642 | $2.81M | 14.6% | ▼ Declining |
| IN → US East Coast | 268 | $1.18M | 17.2% | ▲ Growing |
| BR → US East Coast | 158 | $612K | 12.4% | ▼ Declining |
| US → EU | 386 | $1.84M | 11.8% | ▼ Declining |
Customer segmentation
Revenue concentration & LTV
Seasonality
Quote & shipment volume by month
Margin trend
Avg margin per shipment over 12 months
Margin by shipment type
Where the money actually is
Top 20 customers
By revenue, with AI-detected churn risk
| # | Customer | Shipments | Revenue | Churn risk |
|---|---|---|---|---|
| 1 | Atlas Materials Co. | 412 | $1.84M | Low |
| 2 | Pacific Apparel Group | 386 | $1.61M | Low |
| 3 | Northgate Electronics | 312 | $1.48M | Medium |
| 4 | Vista Home Furnishings | 268 | $1.12M | Low |
| 5 | Harbor Foods Importers | 248 | $982K | Low |
| 6 | Cobalt Auto Parts | 224 | $924K | High |
| 7 | Helix Industrial Supply | 196 | $882K | Medium |
| 8 | Cascade Outdoor Brands | 184 | $784K | Low |
| 9 | Meridian Chemicals Ltd. | 168 | $742K | Low |
| 10 | Solstice Beverage Co. | 154 | $612K | Low |
| 11 | Northwind Hardware | 142 | $584K | Medium |
| 12 | Lumen Lighting Corp. | 128 | $542K | High |
| 13 | Cedar Ridge Apparel | 118 | $484K | Low |
| 14 | Anchor Marine Supply | 112 | $462K | Low |
| 15 | Phoenix Components | 104 | $432K | Medium |
| 16 | Greystone Building Co. | 96 | $412K | Low |
| 17 | Riverbend Foods | 88 | $384K | Low |
| 18 | Stellar Toy Imports | 82 | $358K | High |
| 19 | Birchwood Manufacturing | 76 | $322K | Low |
| 20 | Coral Coast Cosmetics | 68 | $296K | Medium |
AI recommendations for the CEO
3–5 actions the data says are highest-leverage this month
Cobalt Auto Parts, Lumen Lighting, Stellar Toy Imports — combined $1.71M revenue last year, no quote requests in 47+ days. Trigger AI re-engagement workflow this week.
Both lanes show 22–25% margins and growing volume month over month. Allocate 2 BD reps to expand wallet share with existing customers shipping these routes.
62 quotes valued >$5K each expire in the next 7 days. Conversion historically jumps from 30% to 48% on personal follow-up within 48h of expiry.
Both lanes show margin erosion to <12% with declining win rate. Floor pricing 4 points higher; losses on price below this point indicate unprofitable wins.
Reefer demand grew 31% YoY in Sep–Nov last year and margins held at 21.8%. Secure 2 additional temp-controlled FCL slots per week with Maersk and ZIM.
Compounding value, month over month
More automation, better performance, lower cost — every month.
Automation rate, conversion, and CSAT
Three quality metrics climbing together
Cost per interaction trending down
Composite across all workflows
Shipment volume growth
Monthly shipments with peak-season pattern
DSO improvement
52 → 34 days · −18 days
Error rate falling
Composite quality score improving
Right now, this needs your attention
Severity-ranked, with revenue exposure and elapsed time.