Vooma
AI agents for freight brokers and carriers that quote, build, schedule, cover and track freight
By Vooma · 4.0/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Freight brokers and 3PLs handling a high volume of inbound quote emails and calls
- Ops teams already running a TMS (McLeod, Turvo, Aljex, Tai, Revenova, 3PL Systems) that want automation layered on top
- Sales and carrier teams losing hours per rep per day to manual order entry, check calls and load building
- Leaders who want quoting, load building, scheduling, carrier coverage and tracking unified in one platform
Ideal size: 20–200+ ops and sales staff people · Established broker or 3PL with a TMS and documented SOPs
Not for
- Shippers, manufacturers or retailers with no brokerage or carrier operation
- Teams shopping for a standalone TMS — Vooma augments an existing TMS rather than replacing it
- Very small brokerages with low inbound volume and little digital rate history to work from
- Buyers who want published self-serve pricing and an unassisted instant signup
Value metrics scorecard
Time-to-Value
2–4 weeks guided onboarding
~30 days to first production value
Total Cost of Ownership
On request
Custom quote; no published price list — demo and sales-led scoping
Implementation Friction
3/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not published; scope set per team, workflow and freight volume
Add-on costs
- None
Company & support
Who is behind Vooma, and how your team gets help once it is live.
Market position
Where Vooma sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Vooma
- Augment
- Rekki
- Tailwind TMS
- Trucker Tools
- Parade
Add or change companies
Up to 10 companies including Vooma. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Vooma ships in AI, and what it asks of your ecosystem.
AI features shipped
Vooma describes AI agents / 'AI workers' that email, call, text and log into systems to do repetitive freight work, extract shipment details from emails, PDFs and spreadsheets, and read inbound quote requests. No foundation model, model provider, AI audit trail or opt-out control is named in the available pages.
Your data & models
- Trains on your data
- Trains on your data
- Runs on
- Not recorded
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Vooma sells AI agents ('AI workers') to freight brokers, 3PLs and carriers that read inbound quote emails and calls, pull rates from pricing engines, build loads in the TMS, secure appointments, post to DAT and Truckstop, vet and book carriers, track shipments and chase PODs. It connects to common TMS, rating, verification, EDI and communications tools including McLeod, Turvo, Gmail, Outlook, Microsoft Teams and Slack. Published customer results cite 20-minute faster quote response, 65%+ inbound call deflection and 2+ hours saved per rep per day. Pricing is not published.
Frequently asked questions
What does Vooma actually automate?
The platform covers six steps of the freight workflow: automated email quoting, load building from emails, PDFs and spreadsheets into your TMS, scheduling via facility emails, calls and portal logins, carrier coverage (posting to DAT and Truckstop, vetting and negotiating), in-transit tracking with driver outreach, and POD collection to speed up payment. Vendors position it as AI workers that email, call, text and log into systems 24/7.
Which systems does Vooma integrate with?
The integrations page lists TMS platforms (McLeod, Turvo, Aljex, Tai, Revenova, 3PL Systems), rating sources (DAT Rateview/Ratecast, Truckstop, Greenscreens/Triumph, Sonar, Transfix, AVRL, Tabi, Bitfreighter), verification (Highway, Truckstop RMIS, MyCarrierPackets), EDI (Cleo, Orderful, Atadex) and communications (Gmail, Outlook, Microsoft Teams, Slack, Front, RingCentral). Customers describe staying in the inbox and connecting multiple rating sources.
What does Vooma cost and how long is implementation?
Pricing is not published anywhere on the vendor site; every path leads to a demo. Onboarding is explicitly guided rather than self-serve — the site talks about configuring flexible SOPs, letting customers 'train our way', and the team includes a deployment strategist — so budget for a scoped implementation rather than a plug-in trial, and ask for a written timeline and any implementation fee before signing.
Is Vooma a replacement for our TMS?
No. Vooma positions itself as a platform that sits on top of your existing tools and TMS, not a TMS replacement. Content is built into the TMS and reads from your pricing engines and rate history. Buyers should confirm that their specific TMS version is on the supported integration list before committing.
Which security certifications does Vooma hold?
The vendor security page states that data is encrypted in transit and at rest, that systems undergo regular penetration testing, vulnerability assessments and automated monitoring, and that strict access controls and staff security training are in place. It does not name SOC 2, ISO 27001, HIPAA, FedRAMP, ISO 42001 or CMMC. Treat certification as unverified and request current reports during diligence.
Does Vooma train AI models on our data?
The privacy policy says data obtained through Google Workspace APIs is used to operate and improve the application and may be used to train machine learning models specific to Vooma's own services, while stating it is not used to develop or train generalized AI models. No opt-out for that application-specific training is described, so ask for a written commitment covering all customer data, not just Google Workspace API data.