AI-Native Logistics Intelligence

The supply chain
doesn't need better tools.
It needs a mind.

WaveCentric builds AI models that run logistics operations end-to-end — from corridor orchestration to last-mile execution — replacing fragmented software with a single adaptive intelligence layer.

WaveCentric CMS · Live
📦
Origin
🧠
AI Core
🏁
Destination
Real-time
Decisions
−30%
Ops cost
−60%
Recovery time
All corridors nominal — 14 active routes adapting
$2.58T
Annual US business logistics costs — 8.8% of GDP
US Business Logistics Report
41%
Of logistics spend lost to last-mile inefficiency alone
McKinsey Global Institute
37%
Increase in average shipping delays post-pandemic
Freight Intelligence Index
4M+
Global driver shortage driving automation urgency
IRU World Report
The problem

Logistics is broken
at the system level.

Decades of point solutions have created a patchwork of disconnected software. Every handoff is a gap. Every gap costs money, time, and customer trust.

01

Fragmented visibility

Operators rely on 6–12 separate systems that don't talk to each other. By the time a problem is visible, it's already a crisis — a €1M-per-voyage detour, a 23-day delay, a broken SLA.

02

Slow human decision loops

Disruptions happen in minutes. Human escalation chains take hours. Container ships rerouting around conflict zones, port congestion cascading across networks — the cost of slow decisions is enormous.

03

Poor data quality at the source

63% of truck drivers wait over three hours at docks due to data mismatches. Inaccurate manifests, unreliable ETAs, and siloed warehouse data turn every delivery into a negotiation.

04

Labour dependency at scale

The global driver shortage exceeds four million. Demand fragmentation is accelerating. Supply chains built around human availability can't absorb the pace of modern commerce.

"The best logistics software still requires humans to read it. We build AI that acts on it."

Cost reduction after AI adoption
−30%
Disruption recovery time improvement
−60%
Order lead time reduction
−27%
Productivity gain across operations
+25%
Service level improvement
+65%
The platform

One AI model.
Every leg of the journey.

Our Corridor Management System is not software you configure — it is an AI that learns your network, anticipates disruptions, and executes decisions across the entire supply chain without waiting for instructions.

🧠

Ingest and understand

The AI continuously ingests port status, weather events, customs queues, demand signals, and vehicle telemetry — building a live, unified picture of your entire logistics network.

Decide and route

Autonomous reasoning selects optimal corridors, carriers, and departure windows — accounting for cost, time, risk, and sustainability — without a human in the approval chain.

🔄

Execute and adapt

When a disruption hits, the model reroutes, reallocates, and rebalances the entire network in seconds. What used to take a crisis team days now happens autonomously.

📈

Learn and compound

Every shipment, every delay, every exception makes the model smarter. Operational knowledge compounds across every corridor, carrier, and customer the system manages.

🛣️

Corridor Management System

Our CMS coordinates every actor across intermodal networks in real time — eliminating manual handoffs between road, rail, sea, and air freight.

👁️

Computer Vision at Every Node

Automated visual inspection at loading bays, ports, and warehouses feeds ground-truth data directly into the AI loop — no human data entry required.

📡

Interoperability Engine

Connects existing ERP, WMS, and TMS systems to the AI layer without rip-and-replace. The model speaks every system's language and unifies the data.

📊

Predictive Demand Intelligence

Real-time demand forecasting that goes beyond historical averages — reacting to market signals, seasonal patterns, and geopolitical events before they become disruptions.

🔐

Cyber-Secure by Architecture

Security is not a layer added after the fact. Every data flow across the logistics stack is monitored, validated, and defended against supply chain cyberattacks.

🌐

Data Quality Pipelines

AI is only as good as its data. We build the validation frameworks and governance models that ensure logistics data is clean, consistent, and trustworthy at scale.

What we build

Solutions across
the full logistics chain.

From strategic advisory to production AI systems, WaveCentric designs and delivers across every layer of modern logistics — with the breadth of a consultancy and the depth of an engineering firm.

🗺️

Logistics Network Design

End-to-end network architecture for intermodal freight — road, rail, sea, and air — designed for AI-driven optimisation from day one rather than retrofitted later.

End-to-end
🖥️

ICT Solutions

Bespoke technology infrastructure that integrates disparate systems, automates workflows, and provides a single operational view across your enterprise and partner ecosystem.

Enterprise
🧩

Corridor Management System

Our flagship AI platform — a data-driven intelligence hub coordinating every actor and every shipment across your logistics corridors without manual intervention.

AI-native
🛡️

Cybersecurity

Advanced threat defence built specifically for operational technology environments. Logistics networks are critical infrastructure — we protect them with the rigour that demands.

Defence
🎯

Strategic Consultancy

Expert guidance aligning logistics strategy with AI capability — helping leadership understand what is possible today, what is coming, and how to build a credible path to it.

Advisory
✏️

Service Design

Human-centred blueprints that translate complex AI-logistics solutions into workflows that real operators can use — from dock workers and dispatchers to CFOs and boards.

Design
Industry outcomes

What AI logistics
actually delivers.

These are not projections. They are results reported by organisations that have deployed autonomous logistics intelligence across real networks.

−30%

Overall operational cost reduction

A logistics operator implementing end-to-end AI orchestration achieved a 30% reduction in total operational costs within 12 months — driven by route optimisation, reduced dwell times, and autonomous exception handling.

Source: AI Automation Case Study, Service Quality Centre
€2M+

Annual savings through intelligent SKU allocation

A European retail logistics operation saved over €2 million annually by applying AI to SKU positioning and freight routing — reducing SKU volume by 20% and transportation costs by 33%.

Source: Throughput.world Retail Logistics Case Study
−23%

Reduction in warehouse picking time

AI-driven dynamic item location reassignment and optimised pick-path generation reduced average order picking time by 23% — without adding headcount or physical infrastructure.

Source: Grid Dynamics Explainable AI Study
+65%

Improvement in supply chain service levels

Organisations adopting AI-native demand forecasting and autonomous inventory management report a 65% improvement in service levels alongside a 35% reduction in total inventory holdings.

Source: McKinsey Distribution Operations Analysis
Our foundation

Four disciplines.
One integrated capability.

Everything we build rests on four disciplines that, together, make AI-powered logistics work in the real world — not just in demonstrations.

01 — AI & Data Engineering

The intelligence layer

Building, training, and deploying AI models that run logistics decisions autonomously at scale. We design for explainability from the start — so operators understand what the system is doing and why.

02 — Software Engineering

Production-grade systems

We ship software that carries real freight and real responsibility. Reliable, maintainable, fast — built by engineers with over a decade of enterprise delivery experience, not consultants prototyping in slide decks.

03 — Cyber Defence

Security as first principle

Logistics networks are critical infrastructure. We treat their security accordingly — embedding defence across every layer of the stack rather than bolting it on as an afterthought.

04 — Data Quality

Trust in every data point

The most sophisticated AI model fails on bad data. We build the pipelines, validation frameworks, and governance models that keep logistics data clean, consistent, and trustworthy at scale.

📍
Canary Wharf, London
E14, United Kingdom
3
Specialist backing partners
10+
Years combined engineering depth
Global
Deployment footprint
AI-first
Architecture philosophy
About WaveCentric

An innovation firm
with a precise ambition.

WaveCentric is headquartered in Canary Wharf, London. We exist to close the gap between what AI can do and what logistics operators actually experience on the ground.

Our mission is to empower businesses with intelligent systems that address today's operational challenges while anticipating tomorrow's. We are not interested in incremental improvement — we are interested in rewriting the rules of how supply chains operate.

Backed by OneFirewall Alliance, AquilaX Ltd, and Simasware Ltd, we combine AI and data engineering, software production, cyber defence, and data quality into a single integrated capability that no single organisation has offered before.

Common questions

Everything you need
to know.

Straightforward answers about WaveCentric, our AI platform, and how end-to-end logistics intelligence works in practice.

What is WaveCentric?
WaveCentric is a London-based AI company headquartered in Canary Wharf that builds end-to-end intelligent logistics systems. Its flagship product is the Corridor Management System (CMS) — an AI platform that autonomously orchestrates logistics networks across road, rail, sea, and air freight without requiring manual intervention at each handoff. The company is backed by OneFirewall Alliance, AquilaX Ltd, and Simasware Ltd.
What is a Corridor Management System (CMS)?
A Corridor Management System (CMS) is WaveCentric's AI-native logistics platform that coordinates every actor and every shipment across intermodal corridors in real time. It ingests live signals from ports, weather services, customs queues, and carrier networks; makes autonomous decisions on routing, carrier selection, and resource allocation; and adapts the entire network within seconds when a disruption occurs — whether that is a port closure, a weather event, or a vehicle breakdown.
How does AI improve end-to-end logistics operations?
Traditional logistics software manages individual pieces of the chain and presents information to humans who then make decisions. End-to-end AI replaces this with a model that acts on information directly — ingesting data, making decisions, executing changes, and learning continuously. Industry outcomes include a 30% reduction in total operational costs, 60% faster recovery from disruptions, 27% shorter order lead times, and a 65% improvement in service levels. The AI compounds its operational knowledge over time, so the system improves with every shipment it handles.
Who backs WaveCentric?
WaveCentric is backed by three specialist organisations. OneFirewall Alliance (onefirewall.com) provides cyber defence expertise, ensuring the logistics platform is secure by architecture. AquilaX Ltd (aquilax.ai) brings AI-driven application security scanning, so every component of the platform is validated from the first line of code. Simasware Ltd (simasware.com) contributes over a decade of enterprise software engineering experience, providing the engineering backbone behind the production-grade logistics platform.
What industries and organisations does WaveCentric work with?
WaveCentric works with organisations operating intermodal freight networks — freight operators, port authorities, retail logistics operations, and enterprise supply chain teams. The platform is relevant wherever multiple transport modes intersect, data is fragmented across systems, and the cost of slow or incorrect decisions is high. We work globally, with particular depth in European and UK freight corridors.
Does WaveCentric require replacing existing logistics systems?
No. WaveCentric's interoperability engine is designed to connect existing ERP, WMS, and TMS systems to the AI layer without rip-and-replace migration. The platform reads from and writes to existing systems, unifying their data into a single operational intelligence layer. This means operators can begin realising value from the AI without disrupting current workflows — and expand the platform's scope progressively as confidence grows.
How does WaveCentric approach cybersecurity in logistics?
Logistics networks are critical infrastructure and high-value targets for cyberattacks. WaveCentric treats security as a first principle — not a layer added after the fact. Backed by OneFirewall Alliance, every data flow across the logistics stack is monitored and validated. AquilaX provides AI-driven application security scanning from the development stage. The result is a platform where security is embedded at every architectural layer, not bolted on after deployment.
Where is WaveCentric based and how can I get in touch?
WaveCentric Ltd is registered in England and Wales (Company #16276203) and headquartered at Canary Wharf, London E14, UK. You can reach us by email at [email protected] or by telephone on +44 (0) 203 769 1950. Use the contact form below to start a conversation about your supply chain challenge.
Get in touch

Let's talk about
your supply chain.

Whether you are deploying AI across an existing network or building an intelligent logistics operation from scratch, we want to hear about it.

📞
Phone +44 (0) 203 769 1950
📍
Office Canary Wharf, London E14, United Kingdom
✉️
🏢
Company registration WaveCentric Ltd #16276203 — England & Wales
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