Freight broker migration guide
Tai TMS is a serious broker-focused platform, not a generic legacy comparison. Tai publicly emphasizes FTL and LTL automation, one-screen booking, tracking, billing, portals, fraud prevention, and a large direct integration catalog. ARK TMS is strongest when its more focused provider set and operating design match the brokerage. A switch is justified only after representative LTL, integration, tracking, and financial exception tests pass.
Current public positioning
Tai markets a cloud TMS built specifically for freight brokers, covering quote through delivery and invoicing. Its current site highlights FTL, LTL, email-assisted load creation, carrier sourcing, tracking, automated billing, customer portals, dashboards, and direct API and EDI integrations.
Read Tai TMS freight broker product pageFit and proof
This is an evaluation framework, not a feature-count scorecard. Current contracts, plans, configurations, and integrations can change what either system supports.
| Decision area | Tai TMS | ARK TMS | Acceptance test |
|---|---|---|---|
| FTL and LTL depth | Tai explicitly markets both FTL and LTL, including direct carrier connectivity and LTL-specific validation and audit work. | ARK supports freight broker load execution, but every LTL rate, class, accessorial, label, tender, and rebill need must be proven. | Test normal and exception shipments for every mode and carrier workflow that drives revenue. |
| Integration catalog | Tai promotes a large set of direct API and EDI connections to carriers, load boards, tracking, and accounting. | ARK documents supported provider connections and prerequisites; its catalog may be narrower for a given brokerage. | Use a required-versus-nice-to-have integration register with commercial and failure details. |
| Automation | Tai markets email-to-shipment, quoting, sourcing, tracking, invoice, and audit automation. | ARK automates supported operational paths while keeping users responsible for exceptions and approvals. | Compare touch time, error rate, review points, and recovery on the same sample, not vendor claims. |
| Reporting and controls | Tai highlights dashboards, scorecards, lane profitability, commissions, and variance analysis. | ARK includes revenue, loads, aging, cash flow, commission, compliance, pay-hold, and audit reporting. | Reconcile the five reports leadership and operations actually use to run the business. |
Evaluation plan
Use the same people, source records, and acceptance criteria in both systems. A guided demo is useful; a completed workflow is stronger evidence.
Choose a real lane, customer, carrier profile, document set, and accounting path.
Enter or import the order, assign ownership, and confirm the operational fields.
Test the load-board, carrier, rate, safety, and confirmation steps you actually use.
Validate statuses, tracking, exceptions, documents, and team handoffs.
Generate the billing records and reconcile the supported accounting handoff.
Migration sequence
Confirm export rights, archive requirements, open-load ownership, provider credentials, and acceptance criteria before the prior system changes.
Count FTL, LTL, drayage, cross-border, multi-leg, and exception scenarios instead of testing only average freight.
Classify every connection as required, replaceable, optional, unused, or contractually tied to another provider.
Capture triggers, extraction, validation, approvals, exception queues, audit results, and manual fallback paths.
Include reclass, reweight, accessorial, variance, carrier invoice, customer rebill, and accounting failure cases.
Move only the modes and customer workflows that meet acceptance criteria; keep a clear owner for parallel freight.
Data scope
Cutover controls
ARK evidence
Migration FAQ
That cannot be assumed. Tai publicly emphasizes direct LTL carrier connections and mode-specific automation. ARK should be selected for an LTL operation only after rates, class, accessorials, tenders, labels, tracking, audit, rebills, documents, and financial handoff pass representative tests.
Compare required integrations, exception handling, operator touch time, reporting definitions, customer and carrier experience, implementation deliverables, support, and total written commercial scope. Similar feature names can hide different operating results.
Yes, if master data, order intake, finance, and integrations can support parallel ownership. Define which system owns each shipment and customer during the phase so status, documents, receivables, and payables are not split unpredictably.
Prove the fit
Bring one representative load, the integration list, required exports, and the people who own each handoff. Leave with documented fit, gaps, and next steps.