#1Diagnosing the legacy TMS honestly
We begin every migration with a brutally honest diagnostic: what does the TMS do that is genuinely strategic, what does it do that is purely operational, and what does it do because nobody dared remove it? The first bucket gets modernised first; the second can adopt SaaS; the third gets deleted.
#2Modernisation options, ranked by risk
- Lift and shift — fastest, lowest value, often a stepping stone.
- Re-platform — replace selected layers (database, messaging, scheduler) with managed equivalents.
- Re-architect — extract bounded contexts incrementally to cloud-native services.
- Replace — adopt a modern SaaS TMS where the business is non-differentiated.
#3Data strategy is the strategy
TMS data is high-cardinality, fast-moving, and operationally critical. We build a streaming data backbone that captures every change from the legacy core, projects it into a modern domain model, and exposes it to both legacy and modern consumers throughout the migration window.
#4A cutover playbook that respects operations
Operations teams need confidence, not surprises. We run parallel operations for as long as it takes for the new platform to outperform the legacy across every measured dimension. Cutover happens lane by lane, never as a single switch.

