I/10INDUSTRY · HIGH-THROUGHPUT

Logistics
Connected, intelligent, and resilient supply chains

We As Web builds the connected, intelligent, and resilient logistics ecosystems modern supply-chain organisations need — to move goods, manage assets, and coordinate operations at scale. Our teams deliver connected operations platforms, AI-driven forecasting and routing, cloud-native infrastructure, and the systems integration that turns fragmented transportation, warehousing, and customer-service operations into a unified digital backbone.

Talk to Our Logistics Technology Specialists →
Key Credentials
Connected operations — transportation, warehousing, inventory, planning, customer information
Cloud-native architectures · infrastructure modernisation · DevOps · scalable deployment
AI-driven forecasting · intelligent automation · computer vision for surveillance
1,200+ engineers · 100+ enterprise clients · <5% attrition
ISO 9001 · ISO/IEC 20000-1 · ISO 42001 · NATO Certified Vendor · AWS Partner · Microsoft Partner
[00]Industry Challenge

The pressure logistics leaders are operating under

  • Supply-chain disruptionsDisruptions cascade faster than legacy operations can adapt — forcing organisations to rethink how they move goods, manage assets, and coordinate across geographies.
  • Rising customer expectationsCustomers expect faster deliveries, greater visibility, and seamless digital experiences — putting pressure on every step of the fulfilment chain.
  • Labour shortagesSkilled logistics workers are scarce — making automation, computer vision, and AI-assisted operations strategic, not optional.
  • Growing operational costsCosts keep climbing while margins stay flat — pushing organisations to optimise routing, forecasting, and asset utilisation.
  • Disconnected operationsTransportation, warehousing, planning, customer service, and reporting ran through separate systems — distributing information, creating delays, and amplifying blind spots.
[01]Why Logistics Leaders Choose We As Web

Why Logistics leaders choose us

Logistics transformation requires more than software delivery — it requires a practical understanding of complex operational environments, supply-chain disruptions, and high-throughput operations.

D/01

Connected Operations Expertise

We work with organisations to create the digital foundations that support operational excellence and long-term growth — engineering the systems that unify transportation, warehousing, inventory, planning, and customer information.

D/02

Data-Driven Visibility & Decision-Making

We help organisations transform operational data into actionable insights — consolidating information across transportation, warehouse, ERP, customer portals, and operational databases so teams spend more time acting on information than searching for it.

D/03

AI & Automation for Resilience

Predictive analytics, intelligent automation, computer vision for surveillance, and ML systems that forecast demand, allocate resources, identify disruptions, and optimise operations.

[02]What We Build

Logistics & Supply Chain Platforms

Five solution areas covering the full logistics and supply-chain surface — from connected operations platforms and AI to cloud infrastructure and enterprise integration.

S/01

Connected Operations Platforms

Systems that bring together transportation, warehousing, inventory, planning, and customer information into a unified environment — TMS, WMS, and last-mile platforms with real-time operational visibility.

Transportation management systems (TMS) with real-time tracking
Warehouse management systems (WMS) with operational visibility
Last-mile delivery platforms with customer-facing transparency
Inventory, planning, and customer-service unification
S/02

AI-Driven Forecasting & Routing

Predictive analytics and intelligent automation that forecast demand, allocate resources, identify disruptions, and optimise routing — turning logistics from reactive to anticipatory.

Demand forecasting and capacity planning
AI-assisted routing and dispatch optimisation
Disruption prediction and risk identification
Computer vision for surveillance and asset tracking
S/03

Data Engineering & Operational Intelligence

Business intelligence, operational reporting, executive dashboards, data integration, and advanced analytics — turning fragmented operational data into actionable visibility.

Operational reporting and executive dashboards
Data integration across TMS, WMS, ERP, and CRM
Advanced analytics for performance and bottlenecks
Self-service visibility for teams and customers
S/04

Cloud & Platform Engineering

Cloud-native architectures, infrastructure modernisation, DevOps practices, and scalable deployment models — the foundations that support long-term growth and operational resilience.

Cloud-native architecture and infrastructure modernisation
DevOps and scalable deployment models
Resilient platforms for periods of disruption
Multi-region, multi-warehouse scalability
S/05

Enterprise Integration & Legacy Modernization

Connecting ERP, CRM, warehouse management systems, transportation platforms, and third-party services — with progressive carve-out from legacy platforms and modern integration patterns.

ERP, CRM, WMS, TMS integration
Third-party logistics and carrier API integration
Legacy modernisation with progressive carve-out
Reusable integration patterns across operations
[03]Engineering Services & Capabilities

Engineering services

The capabilities applied to deliver the solutions above — engineered for high-throughput logistics operations and the operational realities of supply-chain environments.

01End-to-end software development — Java, .NET, TypeScript, Python, Kotlin, Swift, designed for logistics workloads
02Cloud architecture & operations — AWS, Azure, hybrid-cloud; Kubernetes, Docker, observability-first stacks
03AI/ML engineering — forecasting, routing optimisation, computer vision, anomaly detection, ML at scale
04Data engineering — real-time telemetry, time-series, event streaming, BI integration
05DevOps & CI/CD with embedded security — automated validation, audit-ready artifacts
06QA & automated testing — load testing tuned for peak logistics traffic profiles
07Enterprise & OT integration — ERP, WMS, TMS, carrier API integration, third-party logistics
08Long-term managed services — production support, infrastructure, incident response, multi-region operations

Compliance & Regulatory Standards

Explicitly engineered for the regulatory regimes and industry standards logistics operations must operate under.

GDPRIncluding Schrems II for cross-border data flows — logistics customer and operational data
ISO 9001 · 20000-1 · 42001Quality, ITSM, and AI management systems
NIS2Where logistics operations are classified as essential or important entities
Customs & TradeAEO, customs compliance, cross-border trade documentation requirements
AWS / Microsoft PartnerCloud architecture with logistics-grade operational standards
NATO-Grade DeliveryFor logistics operations with defence-adjacent supply-chain exposure
[04]Proven Execution

Outcomes & Case Studies

Four flagship Logistics case studies from the WAW portfolio — all live on the site with full detail.

CS/19AI-Driven Cybersecurity

Smart Surveillance for Port Security with Vision Analytics

A private maritime logistics and security provider replaced manual CCTV monitoring with an edge-optimised AI vision system — delivering 24/7 surveillance with over 95% detection accuracy even in low light, 50% reduction in manual surveillance labour, and under 2.3s alerting latency.

95%+
detection accuracy, even in low light
−50%
manual surveillance labour
<2.3s
alerting latency
4.5 mo
integration timeline
View full case study →
CS/20AI-Driven Cybersecurity

Fraud Incident Response for Unauthorized Wire Transfer

A logistics services company in the UAE experienced a severe cybersecurity incident involving financial fraud, culminating in an unauthorised money wire. We As Web deployed a dedicated incident response team, identified the exact breach flow, and restored secure operations within the 2-week deadline.

<2 wks
resolution within the deadline
Identified
exact breach flow
Actionable
security intelligence
Restored
secure operations
View full case study →
CS/26AI-Accelerated Delivery

Real-Time Load Tracking for an Austrian 3PL Freight Operator

A mid-size Austrian 3PL running DE / AT / IT corridors was losing roughly a third of its dispatch time to "where's the truck?" phone calls. We As Web delivered one real-time pipeline across three surfaces — a dispatcher console, a one-tap driver app, and a public client tracking link.

<30s
to create a load and hand it off
1 tap
driver activation, then nothing
0
apps installed by the client
Live
position updates as the driver moves
View full case study →
CS/27AI-Accelerated Delivery

ViaPlanner: Cost-Aware Route Scoring for EU Fleet Operators

Routing tools optimise for distance or ETA — neither of which is money. ViaPlanner prices fuel, tolls, weather and load into one landed cost per trip and shows dispatchers the breakdown against the naive shortest and fastest options, so a 50 km detour that pays for itself is visible before the trip starts.

−€36
per trip vs. the shortest route
−€54
per trip vs. the fastest ETA
3
cost inputs — fuel · toll · weather
€0.18/L
diesel spread across one corridor
View full case study →
[05]Conclusion

Connected ecosystem. Not fragmented operations.

Logistics organisations can't choose between operational efficiency and resilience — they have to deliver both, under supply-chain disruption and rising customer expectations.

  • Connected operations that unify transportation, warehousing, inventory, and customer information
  • Data-driven visibility that turns operational data into decisions
  • AI and automation that turn reactive operations into anticipatory ones
  • Cloud-native architecture built for high-throughput scale
  • Systems integration across the modern logistics stack

Whether you are modernising legacy platforms, deploying AI for forecasting and routing, building port-security surveillance, or integrating third-party logistics and carriers, we help you build the digital foundation the modern logistics organisation needs.