Logistics & Supply Chain

Build smarter, more resilient logistics operations with AI and modern engineering

Reduce cost-to-serve with data-driven planning, routing, and utilisation
Move from spreadsheets and legacy TMS/WMS to integrated, API-first platforms
Turn AI pilots into stable, monitored production systems at network scale

When our logistics expertise is a strong fit

We’re most effective when there is clear operational complexity, existing data exhaust, and leadership intent to modernise how logistics runs.

You operate a multi‑node or multi‑carrier network

Complexity across regions, carriers, or modes is driving variability in cost and service, and you need better tools than spreadsheets to manage it.

Legacy TMS/WMS is slowing down change

Your core systems are stable but hard to extend, and you need a pragmatic way to add new capabilities without a risky full replacement.

You have data, but little trusted insight

Shipment, telematics, and warehouse data exist in silos, and operations teams don’t have a single version of the truth for performance and root‑cause analysis.

AI pilots haven’t made it into production

You’ve run optimisation or forecasting PoCs, but lack the engineering, MLOps, or governance to run them reliably in day‑to‑day operations.

Manual planning is a scaling bottleneck

Route planning, allocation, or dock scheduling depend on a few experts, making it hard to grow volume or expand geographies without adding headcount.

You need predictable delivery capacity

You want a partner who can own outcomes for specific initiatives while also providing embedded engineers and data specialists to augment your internal teams.

Example initiatives

Where we help logistics teams move from intent to impact

Freight & Transportation

Network & lane optimisation

Consolidate shipment, capacity, and cost data into a single model to optimise lanes, mode mix, and carrier selection, cutting linehaul costs while protecting service levels.

Last‑mile & Field Operations

Dynamic routing & dispatch

Build or extend routing engines that factor traffic, time windows, driver constraints, and real-time events to reduce miles driven and failed deliveries.

3PL & Forwarding

End‑to‑end shipment visibility

Integrate telematics, carrier APIs, and IoT feeds into a unified tracking layer with predictive ETAs and exception alerts, reducing WISMO contacts and SLA breaches.

Distribution & Fulfilment

Warehouse productivity analytics

Instrument WMS, labor, and automation systems to surface bottlenecks, improve slotting and pick paths, and balance labour, increasing throughput without new facilities.

Omnichannel & Retail Logistics

AI‑assisted planning & forecasting

Deploy forecasting and allocation models that align inventory, capacity, and promotions, reducing stockouts and urgent expedites while improving OTIF performance.

How we work

From fragmented systems to a connected, data‑driven logistics stack

We blend logistics domain knowledge, data and AI engineering, and product thinking to deliver pragmatic improvements—whether as a defined project or an extension of your existing teams.

Discover the real constraints in your network

We map your current processes, data flows, and systems (TMS, WMS, ERP, telematics) to identify bottlenecks, constraints, and the few levers that will move your key metrics.

Prioritise a focused roadmap

Together we shape a 3–6 month delivery roadmap, balancing impact, feasibility, and operational risk, and aligning stakeholders across operations, IT, and commercial teams.

Design architecture around your reality

We define target data models, integration patterns, and service boundaries that work with your existing platforms and partners, not against them, with clear interfaces and SLAs.

Build, integrate, and harden

Cross-functional teams implement services, data pipelines, and AI components, integrate with carriers and legacy systems, and put in place monitoring, alerting, and security controls.

Roll out, train, and iterate on live operations

We pilot in selected lanes, sites, or regions, support change management and frontline training, then scale out with tight feedback loops and continuous optimisation.

Business Outcomes

Lower cost per shipment and improved asset utilisation without sacrificing service.
Faster, more reliable ETAs and fewer delivery exceptions and chargebacks.
Reduced manual planning effort through better tools and automation.
A clearer, actionable data and AI roadmap for your logistics network.
Modernised platforms that integrate cleanly with partners and legacy systems.

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