From data on the wire, to decisions in the room.
WiseTech/e2open VRS, Global Parcel, and the broader product layer generate the data. Whether that data shapes a routing decision, a capacity call, or a customer commitment depends on what sits above the product — the architecture, the data foundations, and the modelling layer.
That is the work we do. Senior-led delivery, with the consulting capacity to scale into the data and modelling work where it makes sense to do so.
Capability pillars across the data-to-AI stack
Six workstreams that connect product data to operational outcomes. Pick one, or stack them together.
Enterprise Architecture
We design the data and integration fabric that lets your products, warehouses, and analytics tools work as one system — not a stack of disconnected pieces. Program-level architecture decisions translated into delivery-ready blueprints.
AI Enablement
We help logistics organisations move from AI experiments to operationalised AI. Practical use cases across routing, capacity planning, exception management, and customer signal — embedded with your teams, not handed off as a slide deck.
Data Engineering
Raw product feeds don't drive decisions alone. We build the pipelines that structure, transform, and serve your logistics data — Snowflake, Databricks, or whatever your stack requires — so downstream models and dashboards start from a clean foundation.
Data Science & Analytics
Dashboards, KPI frameworks, and statistical insight for the people running your operations. Real metrics surfaced to operators and planners, not buried in a wiki. Decision-grade reporting that stands up to ops and finance scrutiny.
Machine Learning & Predictive Modelling
Forecasting, anomaly detection, classification, and decision models for logistics operations. Built on your data, validated against your operational outcomes, deployed into production with clear rollback paths and holdout testing.
Model Operations (MLOps)
Once models are live, they need to stay live. Monitoring, retraining cadence, drift detection, performance reporting — we set up the operational layer so your models keep earning back the investment after launch.
When raw product feeds become operational intelligence.
A common starting point: your WiseTech/e2open product streams raw data into an enterprise data warehouse. The data is there — but unstructured, undocumented, and unused by the operations teams that need it most.
We take that raw stream as the foundation. Structure it. Model it. Build the predictive layer that lets your planners act on signals that used to sit in a queue. The result: routing accuracy, capacity forecasting, exception management — driven by your own data, not by guesswork or rule-of-thumb.
Senior-led delivery, scaled where it matters.
Every engagement is led by senior delivery staff — direct, sustained engagement from scope through to go-live and into operations. The same people who architect the engagement are the ones running the work, accountable throughout.
Where the work calls for it — pipeline builds, model development, sustained data engineering — we blend in offshore consulting capacity through practitioners we trust. That keeps senior leadership on the engagement while letting the build work move at pace and cost.
The model keeps direct access to the seniors running your engagement. It just doesn't force you to pay senior-APAC rates for the entire delivery surface.
Curious about what's possible with your product data?
Tell us what you're working with — the product, the data warehouse, the use case you're chasing — and we'll come back with a practical read on what's possible.
Let's Explore →