dispatch automation system

Unlock more load capacity
at the same team size.

AI-powered workflow automation for dispatch operations — more loads handled per dispatcher, higher margin at the same headcount. Built for US transportation operators.

See Proof Cases Book 15-min Call

No sign-up required. Based on your calculator numbers.

The Manual Operations Trap

Your dispatch team has untapped capacity — automation unlocks it without adding headcount.

Bidding, documents, load tracking, carrier search, invoicing — each repetitive workflow your dispatchers handle manually is load capacity you're not using.

This isn't a staffing problem — it's a workflow design problem. Automation raises your capacity multiplier so the same team handles more loads at higher margin.

AI doesn't replace your dispatchers. It eliminates repetitive work so they can focus on routing, exceptions, and customer relationships — at 30–40% more volume.

x1.78
Capacity multiplier with AI automation for a team of 10 dispatchers.
10–14 hrs
Average manual/repetitive work per dispatcher per week. Industry benchmark for non-automated teams.
30–40%
Of dispatch labor recoverable through workflow automation. Your modeled recovery range.

The System

Three AI modules. One automation layer for dispatch.

Each module automates a specific category of manual dispatch work.

Dispatch Workflow Control

  • Automates load confirmations, status updates, and data entry
  • Standardizes handoff checklist between dispatch, drivers, and customers
  • Exception ticket triage and routing — auto-closes duplicates
  • Integrates with existing TMS, ELD, or dispatch software via API
Result
Dispatchers handle 30–40% more loads

Driver + Dispatch Coordination Layer

  • AI handles routine driver questions (ETAs, load details, compliance docs)
  • Real-time status visibility for dispatch — no manual check-ins
  • Automated alerts for delays, compliance gaps, and at-risk loads
  • Multi-channel (SMS, app, voice) — no new software for drivers
Result
Full visibility, zero status-check calls

Operations Intelligence Dashboard

  • Tracks dispatcher workload, exception volume, and resolution time
  • Identifies manual bottlenecks and their dollar cost per week
  • Weekly automated ops report — delivered to management inbox
  • Driver performance comparison and SLA trend analysis
Result
Data-driven ops, no guesswork

Verified Results

What Qberry has already built:

Real projects. Verified results. Client names under NDA.

TMS-1

TMS-Master — Custom Transportation Management System

USA Logistics operator

The project

Full-cycle custom transportation management system built for a US logistics operator. The existing stack was a mix of spreadsheets, phone coordination, and a legacy TMS that didn't support their workflow. Manual dispatch, driver, accounting, and recruiting processes were siloed with no shared data layer.

4 modules: Dispatch / Driver app / Accounting / Recruiting
1 unified data layer (was 4+ siloed systems)
Full-cycle custom platform, owned by client
US ops compliance and workflow patterns
OPS-2

Freight Operations Data Automation

Manufacturing / Global freight

The problem

International freight operator running 3–6 Excel files per pricing report with manual cross-referencing. Finance and operations teams spending 2+ hours per report cycle with version conflicts causing billing disputes and client escalations.

Instant vs 2+ hours per pricing report
1 centralized source (was 3–6 files)
0 version conflicts after go-live

Client names withheld per NDA. Industry, region, and year disclosed where permitted.

Your Numbers

For a dispatch operation with your profile:

10 dispatch staff 8 loads/dispatcher/day 6 days/week $200 avg margin/load
+18,720 loads/yr

extra loads per year at current team size with AI automation

Estimated annual margin upside: $3.7M — capacity multiplier: x1.78

Recalculate My Numbers See what this looks like for my team
V

Vasyl Radkovskyi

Founder & Lead AI Architect, Mizu AI

Got questions? Reply to your report email or message Vasyl directly on LinkedIn.

Message Vasyl on LinkedIn

FAQ

Common questions before the call

Everything you need to decide if this is worth 15 minutes of your time.

Pilot (Dispatch Workflow Control, one workflow category) — 30 days. Full three-module build — 60–90 days. We start with the highest-volume manual task, prove ROI, then expand. No big-bang deployments.
No. The AI automates repetitive tasks — dispatchers handle the exceptions, relationships, and decisions that require judgment. Most teams see the same headcount managing significantly higher load volume within 4–6 weeks of go-live.
Most TMS platforms (McLeod, TMW, Aljex, and others), ELD providers, and carrier portals via REST API, EDI, or direct database connection. We audit your stack before starting and confirm integration path — no surprises mid-build.
Custom build configured to your workflow, lane mix, and carrier relationships. The TMS-Master case is the best reference — fully custom, owned by the client, built around how they actually operate. No copy-paste solutions.
We define KPIs before the pilot starts (target hours automated, exception resolution time, volume capacity). If targets aren't met — you get a refund. We put our skin in the game on every engagement.
Pilot: $3,500–5,500 depending on workflow complexity and integration count. Full build: $28,000–50,000 depending on module scope and existing tech stack. Monthly support retainer: $2,500–4,500/month. Exact pricing confirmed after the alignment call.

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See What This Could Look Like
Inside Your Operation

No generic sales pitch. A focused 15-minute operational review based on your dispatch workflow. No commitment required.

Book a 15-Minute Alignment Call

Not ready yet? Run the ROI calculator again or message Vasyl on LinkedIn.