---
slug: logistics-freight-broker-carrier-capacity
title: "Digital Freight Brokerage Covers 3x More Loads with AI Carrier Outreach"
industry: Logistics & Supply Chain
useCase: Carrier Capacity
companySize: 85 employees, 35 carrier reps
location: National
metaTitle: "Freight Broker Carrier Capacity Case Study | QuickVoice"
metaDescription: "A digital freight brokerage used QuickVoice AI carrier outreach to cover 3x more loads per rep, generating $23M in annual revenue increase."
canonical: https://quickvoice.co/case-studies/logistics-freight-broker-carrier-capacity
ogImage: ""
heroStat: "3x"
heroStatLabel: "Loads covered per rep"
tags: [Logistics, Freight Brokerage, Carrier Capacity, TMS, Load Board]
---

# Digital Freight Brokerage Covers 3x More Loads with AI Carrier Outreach

A mid-size digital freight brokerage with a 4,000-carrier network was hitting a growth ceiling. Its 35 carrier reps were each covering only 8 loads per day, spending 80% of their time on phone calls -- dialing carriers, checking availability, negotiating rates, and making check calls. Scaling revenue meant hiring more reps, a linear cost model that crushed margins. By deploying QuickVoice AI to handle carrier outreach, availability screening, and automated check calls, the brokerage tripled loads covered per rep to 24 per day, increased carrier response rates from 18% to 42%, and generated $23M in incremental annual revenue.

---

## 1. Company Profile

This case study examines a digital freight brokerage headquartered in the southeastern United States. Founded eight years ago by two former logistics executives, the company has grown rapidly by combining technology-forward operations with deep industry relationships. It operates as a non-asset-based intermediary, matching shippers with carriers across all domestic truckload modes -- dry van, refrigerated, flatbed, and specialized.

| Attribute | Detail |
|---|---|
| **Company type** | Non-asset-based freight brokerage |
| **Coverage** | National (48 contiguous states) |
| **Employees** | 85 |
| **Carrier reps** | 35 |
| **Active carrier network** | 4,000+ |
| **Annual freight revenue** | $150M |
| **TMS platform** | Proprietary + DAT / Truckstop integrations |
| **Primary modes** | Dry van (62%), reefer (24%), flatbed (14%) |
| **Average loads/day** | 280 |

The brokerage had doubled revenue over three years by aggressively acquiring shipper accounts and expanding lane coverage. However, the carrier-side operation -- the process of finding, calling, negotiating, and confirming carriers for each load -- had not scaled at the same rate. Revenue growth was directly constrained by the number of carrier reps on the phone.

---

## 2. The Challenge

Freight brokerage is fundamentally a phone-intensive business. Every load requires a carrier rep to identify potential carriers, call them, confirm availability, negotiate a rate, and manage the load through pickup, transit, and delivery. The brokerage's carrier reps were drowning in this cycle.

**Each carrier rep averaged only 8 covered loads per day.** Despite working 10-hour shifts, reps spent roughly 80% of their time on phone activity -- dialing carriers, leaving voicemails, waiting for callbacks, and making check calls on in-transit loads. The remaining 20% was consumed by rate negotiation, load entry, and documentation. At 8 loads per rep per day, covering 280 daily loads required all 35 reps operating at capacity.

**Carrier response rates were stuck at 18%.** For every 100 outbound calls to carriers, only 18 resulted in a live conversation. The rest went to voicemail, were declined, or reached carriers who were not available for the lane and date in question. This meant a rep needed to make roughly 22 calls to cover a single load -- a staggering inefficiency.

**Check call compliance was at 55%.** Shippers increasingly demanded real-time visibility on their freight, but carrier reps could not keep up with check call requirements while simultaneously covering new loads. The brokerage's own data showed that loads with missed check calls were 3.2x more likely to result in a service failure claim. Every missed check call was a risk to the shipper relationship.

**Time to cover was averaging 4.2 hours.** From the moment a load was tendered by a shipper to the moment a carrier was confirmed, the average elapsed time was 4.2 hours. In a spot market where rates can shift by $200 in an afternoon, slow coverage meant the brokerage was frequently paying more to cover loads that sat too long -- or losing loads to competitors who moved faster.

**Growth required linear headcount increases.** The brokerage's financial model showed that adding $10M in revenue required approximately 12 new carrier reps at a fully loaded cost of $78,000 each -- $936,000 in additional labor before a single new load was covered. At a gross margin of 15-18%, the unit economics of this growth model were deteriorating.

> "We had 35 carrier reps making 300 calls a day to cover 280 loads. Do the math -- that's 10,500 calls producing 280 outcomes. We were spending 97% of our phone time getting nowhere. I knew there had to be a better way." -- CEO

---

## 3. Why QuickVoice

The brokerage evaluated multiple approaches to scaling carrier capacity without proportional headcount growth.

**Adding more carrier reps** was the default option, but the labor market made it increasingly difficult. Experienced carrier reps commanded higher salaries, turnover in the role averaged 40% annually industry-wide, and each new hire required 90 days of training before reaching full productivity. The brokerage calculated that the true cost of adding and retaining a carrier rep was $112,000 per year when factoring in recruiting, training, turnover replacement, and management overhead.

**Load board posting automation** was already in use. The brokerage posted every load to DAT and Truckstop automatically. While this generated some inbound carrier interest, load board response rates had been declining as the market became more fragmented. Only 22% of the brokerage's loads were covered through inbound load board responses; the remaining 78% required outbound rep effort.

**A carrier matching algorithm** had been built internally to prioritize which carriers to call based on lane history, rate data, and availability patterns. While this improved call targeting, it did not reduce the fundamental bottleneck: a human still had to make every call.

**QuickVoice AI voice agents** offered the ability to make hundreds of simultaneous outbound calls to carriers, screen for availability and rate range before connecting to a rep, handle routine check calls (pickup confirmation, location updates, ETA checks) without rep involvement, and integrate with the brokerage's TMS and load board feeds for real-time load and carrier data.

The brokerage selected QuickVoice because of its ability to handle the nuanced, variable nature of carrier conversations -- not just reading a script, but negotiating within parameters, handling objections, and qualifying interest in a way that allowed reps to focus exclusively on closing.

> "Every AI vendor we talked to could send automated texts or emails. We'd tried that -- carriers ignore them. In freight brokerage, the phone is the tool. We needed an AI that could actually call a carrier, have a real conversation about a load, and determine if there was a fit. QuickVoice was the only platform that could do that credibly." -- VP of Carrier Sales

---

## 4. The Solution

QuickVoice deployed a two-part system: AI-powered carrier outreach for load coverage and automated check calls for in-transit visibility.

### Carrier Outreach and Screening

When a new load enters the brokerage's TMS, QuickVoice triggers an outbound calling campaign to a ranked list of potential carriers. The AI agent conducts a structured conversation with each carrier:

1. **Introduction and load summary:** The agent identifies the brokerage, provides the origin/destination, pickup date, equipment type, and weight.
2. **Availability check:** The agent asks whether the carrier has a truck available in the pickup area on the specified date.
3. **Rate range qualification:** If the carrier is available, the agent provides a target rate range and asks whether the carrier can work within that range. The rate range is set by the brokerage's pricing team with minimum and maximum parameters.
4. **Interest confirmation:** If the carrier confirms availability and rate fit, the agent collects the carrier's preferred rate, truck number, driver name, and contact information.
5. **Warm transfer or callback scheduling:** Interested carriers are either transferred live to a carrier rep for final negotiation and booking, or scheduled for a callback within 15 minutes if all reps are engaged.

Carriers who are not available or not interested are logged in the TMS with the reason, building a data set that improves future carrier targeting.

### Automated Check Calls

For loads in transit, QuickVoice manages the entire check call cadence:

| Check Call | Timing | Purpose |
|---|---|---|
| **Pickup confirmation** | 30 min after scheduled pickup | Confirm freight was loaded, verify piece count and seal number |
| **Midpoint check** | Halfway through transit | Location update, ETA confirmation, exception identification |
| **Pre-delivery ETA** | 2 hours before scheduled delivery | Confirm on-time arrival, alert receiver if late |
| **Delivery confirmation** | 30 min after scheduled delivery | Confirm delivery complete, collect POD information |

Each check call result is logged in the TMS and pushed to the shipper's visibility platform in real time. When an exception is identified -- a late pickup, a breakdown, a route deviation -- the system immediately alerts the assigned carrier rep for human intervention.

### Rep Workflow Transformation

With QuickVoice handling outreach and check calls, the carrier rep's role fundamentally changed:

| Activity | Before QuickVoice | After QuickVoice |
|---|---|---|
| **Cold calling carriers** | 80% of time | 0% |
| **Rate negotiation and booking** | 10% of time | 55% of time |
| **Check calls** | 8% of time | 0% |
| **Relationship building** | 2% of time | 30% of time |
| **Strategic carrier development** | 0% | 15% of time |

Reps went from spending their entire day dialing to spending their entire day closing. The AI delivered pre-qualified, interested carriers directly to the rep's screen with all relevant information -- the carrier's available truck, preferred rate, and contact details. The rep's job became negotiation, relationship management, and strategic carrier development.

---

## 5. Implementation

The deployment was structured to minimize disruption to daily operations during the brokerage's busiest season.

| Phase | Timeline | Scope |
|---|---|---|
| **Phase 1: TMS Integration** | Week 1-2 | API connections to proprietary TMS, DAT, and Truckstop; carrier database sync; rate parameter configuration |
| **Phase 2: Script Development** | Week 2-3 | Carrier outreach scripts by mode (dry van, reefer, flatbed); check call scripts; objection handling; rate negotiation guardrails |
| **Phase 3: Pilot -- Dry Van Only** | Week 4-6 | AI outreach on dry van loads only (62% of volume); 10 reps in pilot group, 25 reps in control group |
| **Phase 4: Full Mode Rollout** | Week 7-9 | Reefer and flatbed scripts deployed; all 35 reps transitioned |
| **Phase 5: Check Call Automation** | Week 10-12 | Automated check call cadence enabled for all in-transit loads |

**The dry van pilot was transformative.** In the first two weeks, the 10 pilot reps covered an average of 19 loads per day compared to 8 for the control group. Carrier response rates on AI-initiated calls reached 38% -- more than double the 18% rate on manual rep calls. The difference was attributed to call timing optimization (QuickVoice called carriers at times when they were historically most likely to answer) and the sheer volume of attempts (the AI could dial 50 carriers for a single load simultaneously, whereas a rep could call one at a time).

**Reefer and flatbed required script refinement.** Temperature-controlled and specialized loads involved more complex carrier qualification -- questions about reefer unit condition, continuous temperature monitoring, flatbed securement equipment, and oversize/overweight permit status. QuickVoice's script development team worked with senior carrier reps to build qualification trees for these modes, and accuracy reached parity with dry van within three weeks.

**Rep resistance was lower than expected.** The brokerage anticipated pushback from carrier reps who might view AI as a threat to their jobs. In practice, the opposite occurred. Reps immediately recognized that the AI was eliminating the worst part of their job -- cold calling carriers who were unavailable -- and enabling them to spend time on the most rewarding part: building relationships and closing deals. Compensation was restructured to reward loads covered rather than calls made, aligning incentives with the new workflow.

> "Day one of the pilot, I had 11 pre-qualified carriers in my queue before I finished my coffee. Normally I'd spend two hours dialing to get that. I closed all 11 by lunch and went looking for more. It felt like cheating." -- Senior Carrier Rep

---

## 6. Results

Performance was measured over a 12-month period following full deployment, compared against the same 12-month period prior.

### Key Performance Metrics

| Metric | Before QuickVoice | After QuickVoice | Change |
|---|---|---|---|
| **Loads covered per rep/day** | 8 | 24 | +200% |
| **Carrier response rate** | 18% | 42% | +133% |
| **Time to cover (avg)** | 4.2 hours | 1.4 hours | -67% |
| **Revenue per rep** | $420K/year | $1.1M/year | +162% |
| **Check call compliance** | 55% | 98% | +78% |
| **Daily loads covered (total)** | 280 | 480 | +71% |
| **Annual revenue** | $150M | $173M | +$23M |

### Revenue and Margin Analysis

The $23M revenue increase was achieved without adding a single carrier rep. The 35 existing reps, now freed from cold calling and check calls, collectively covered 71% more loads per day. At the brokerage's average gross margin of 16.5%, the $23M in incremental revenue generated approximately $3.8M in incremental gross profit.

| Financial Metric | Before | After | Change |
|---|---|---|---|
| **Annual freight revenue** | $150M | $173M | +$23M (+15%) |
| **Gross margin (%)** | 16.5% | 17.2% | +0.7 pts |
| **Gross profit** | $24.75M | $29.76M | +$5.01M |
| **Carrier rep headcount** | 35 | 35 | No change |
| **Revenue per employee** | $1.76M | $2.04M | +16% |

The margin improvement from 16.5% to 17.2% was driven by two factors: faster coverage reduced the number of loads that required above-market rates to cover at the last minute, and check call compliance improvements reduced service failure claims that had been eroding margins.

### Carrier Network Impact

The AI outreach system had an unexpected positive effect on carrier relationships:

- **Active carrier utilization increased from 28% to 47%.** Before QuickVoice, the brokerage regularly contacted only about 1,100 of its 4,000 carriers. The AI's ability to call broadly reactivated relationships with carriers that reps had deprioritized due to time constraints.
- **Carrier network grew to 5,200.** Word-of-mouth among carriers about the brokerage's fast, professional outreach led to a 30% increase in carrier sign-ups.
- **Average carrier tenure increased 22%.** Carriers reported that they valued the consistent communication, including check calls that they previously had to initiate themselves.

> "QuickVoice didn't just help us cover more loads. It made us a better brokerage partner for our carriers. We're calling them with opportunities that match their lanes, at times they can actually talk. Carriers are calling us back asking for more freight. That never happened before." -- VP of Carrier Sales

---

## 7. What's Next

The brokerage has identified three strategic expansions of its QuickVoice deployment:

- **Carrier rate intelligence.** QuickVoice conversations with carriers generate thousands of data points per week on lane-specific rate expectations, capacity availability, and market sentiment. The brokerage is building a proprietary rate prediction model that incorporates this conversational data alongside traditional market indicators. Early testing suggests the model can predict spot rate movements 48-72 hours ahead with 78% accuracy.
- **Automated load tendering for contracted carriers.** For the brokerage's top 200 contracted carriers, QuickVoice will handle routine load tendering -- calling the carrier with the load details, confirming acceptance, and booking without rep involvement. The target is automating 30% of contracted load coverage, freeing reps to focus exclusively on spot market loads where negotiation skill drives margin.
- **Shipper relationship calls.** The brokerage is piloting QuickVoice for proactive shipper communication -- calling shippers with delivery confirmations, exception notifications, and weekly performance summaries. The goal is to reduce shipper-initiated status calls by 60% and increase shipper retention through proactive service.

The CEO has set a target of $250M in annual revenue within two years, to be achieved with the current 35-rep carrier team augmented by expanded QuickVoice capabilities. At the current trajectory of 24 loads per rep per day with room for further optimization, the brokerage believes $250M is achievable without a single additional hire on the carrier side.

> "Our competitors are trying to grow by hiring. We're growing by multiplying. Every dollar I put into QuickVoice gives my existing team superhuman reach. That's not a cost -- it's a force multiplier." -- CEO

---

## 8. Key Takeaways

**Freight brokerage growth does not have to be linear with headcount.** The industry's traditional model -- add reps to add revenue -- creates a margin trap. AI carrier outreach breaks the linear relationship between headcount and revenue, enabling brokerages to scale capacity without proportional labor cost increases.

**The 18% carrier response rate is not a carrier problem -- it is a calling problem.** When the brokerage's reps called carriers manually, 82% of calls went unanswered. When QuickVoice called the same carriers with optimized timing and broader reach, the response rate jumped to 42%. Carriers were available; they just were not being reached at the right time with the right load.

**Check call automation is a hidden margin driver.** The brokerage initially viewed check call automation as a nice-to-have. In practice, the improvement from 55% to 98% compliance directly reduced service failure claims, improved shipper satisfaction, and protected margins. Every check call that catches a problem early prevents a much more expensive resolution later.

**Reps become more valuable, not less, when AI handles outreach.** The most counterintuitive result was that carrier reps became dramatically more productive and more satisfied with their work. Removing the cold-calling burden allowed reps to focus on negotiation, relationship building, and strategic carrier development -- the high-skill activities that actually drive margin and retention.

**Speed to cover is a competitive weapon.** Reducing average coverage time from 4.2 hours to 1.4 hours meant the brokerage was consistently confirming loads before competitors had even started calling. In the spot market, the fastest brokerage gets the best rates and the most reliable carriers. Speed is not just an efficiency metric -- it is a strategic advantage.

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*This case study reflects aggregated, anonymized results from a QuickVoice freight brokerage deployment. Individual results may vary based on market conditions, carrier network size, and implementation scope.*