N-iX delivers logistics and transportation software through an AI-driven SDLC, and we prove what that AI delivers before scaling it. Through our APEX framework, we baseline your delivery performance, introduce AI tooling on your actual codebase, and show you the numbers first. This matters because logistics platforms cannot absorb unproven change.
Enterprise logistics operations face growing pressure from fragmented carrier networks, real-time delivery expectations, labor shortages, and rising fuel costs. Most platforms were not built to handle this combination at current volumes. Enterprises managing this complexity need logistics software development services engineered for production, not experiments.
We have engineered for production for 23 years. N-iX has delivered logistics software for transportation companies, 3PLs, and supply chain technology providers across regulated, high-throughput environments. Our engineers have built route optimization engines, fleet management platforms, warehouse management systems, freight brokerage platforms, and supply chain visibility tools.
We build and extend transportation management systems for freight brokers, 3PLs, and carriers. This includes load planning, carrier selection, rate management, booking automation, and document generation. All of it is integrated with your existing carrier network and ERP.
We develop WMS platforms and extend commercial WMS products for distribution centers, fulfillment operations, and cold chain facilities. Capabilities include inbound/outbound workflows, slotting optimization, labor management, and WMS-to-MES integration.
We build real-time tracking and event management systems that integrate data from carriers, IoT sensors, port systems, and third-party logistics APIs. We have built visibility platforms handling hundreds of millions of shipment events per day.
We develop route-planning and dynamic-dispatch engines for last-mile, middle-mile, and long-haul operations. These incorporate traffic data, driver hours-of-service constraints, load compatibility, and customer time windows.
We build digital freight-matching, spot-market, and load-board platforms. This includes shipper and carrier portals, pricing engines, and automated tendering workflows.
We design and build data platforms that consolidate logistics data from fragmented operational systems. These support demand forecasting, network analysis, cost modeling, and executive reporting. We work with Snowflake, AWS Redshift, Google BigQuery, and other technologies.
We migrate and rearchitect legacy logistics systems to cloud-native, API-first architectures without disrupting live operations. This covers monolithic TMS platforms, on-premise WMS, and EDI-dependent integrations.
We introduce AI tooling into your engineering team's workflow across coding, testing, documentation, and architecture. We use our APEX framework and measure the impact on your codebase before scaling adoption. Logistics teams we have worked with reduced post-release bugs from 15 to 4 and improved test coverage from 55% to 81%.
Your vehicles already generate the data needed to cut costs and downtime. Our transportation software development services capture that data, connect it, and turn it into systems your drivers, dispatchers, and operations teams use every day.
GPS tracking, geofencing, and vehicle status monitoring across distributed fleets.
Trip planning, job assignment, and real-time communication for drivers and dispatchers.
Telematics, ELD, onboard hardware, mapping, and TMS/FMS integrations.
Route and load optimization, driver safety insights, and predictive maintenance over telematics data.
End-to-end shipment visibility with carrier API integrations, GPS and IoT data ingestion, event normalization, and proactive exception alerting. Built for multi-modal, multi-carrier environments.
Automated rate procurement, spot pricing, and contract rate management for freight brokers and carriers. Integrated with carrier RFPs, lane analytics, and market rate benchmarks.
EDI, API, and portal-based integrations with carriers, customs brokers, port systems, and logistics data providers. We have built integration layers handling hundreds of carrier connections.
Machine Learning models for delivery prediction, delay risk scoring, and automated exception workflows. These reduce the manual workload on operations teams during disruptions.
Software integration with conveyor systems, sortation equipment, AMRs, and WCS platforms. Connects automation hardware to your WMS and order management systems.
We have delivered logistics systems across transportation management, warehouse management, freight brokerage, and last-mile operations. Our engineers understand carrier APIs, EDI, warehouse automation integration, and the uptime requirements of systems that move physical goods.
We do not add AI tools to your stack without measuring their impact. Through APEX, we baseline your delivery performance, introduce AI tooling on your actual codebase, and document the before-and-after. A US transportation company with 140 engineers reached 91% AI tool adoption, 27% velocity uplift, and 70% faster hotfix deployment. Your CTO gets a delivery baseline. Your CFO gets a documented ROI case. Both before you scale.
We have delivered logistics software inside regulated environments handling cross-border shipment data, customs documentation, and carrier financial data. Security requirements are scoped and documented before architecture design begins.
Our professionals work across Europe, the Americas, and APAC across ten delivery centres. Client partnerships with companies including KTC, Marex, and Lebara date back to 2015 and remain active today.
As a logistics software development company, N-iX develops custom transportation management systems (TMS), warehouse management systems (WMS), supply chain visibility platforms, freight brokerage platforms, route optimization engines, and logistics data platforms. We also modernize legacy logistics systems and integrate AI tooling into logistics engineering teams through our APEX framework.
A production-ready TMS or WMS is typically delivered over 6 to 18 months. This depends on scope, integration complexity, and whether we are building a greenfield solution or modernizing an existing system. Our pilot delivery model means you see a working, tested increment within the first six to eight weeks. This happens before you commit to the full program.
We follow Pragmatic AI Software Engineering: we measure AI adoption before scaling it. Through the APEX framework (Assess, Pilot, Expand, eXcel), we baseline your engineering team's current performance, introduce AI tooling on your codebase, and document the before-and-after metrics. If the numbers justify expansion, we scale. If they do not, we stop. A logistics client saw AI tool adoption rise from 13% to 91%, with a 27% velocity improvement, after twelve weeks.
Yes. We have migrated and rearchitected legacy TMS, WMS, and EDI-dependent integration layers to cloud-native architectures without taking live systems offline. Our approach uses a strangler fig pattern, phased data migration, and parallel-run periods to reduce transition risk.
We hold AWS Premier Tier Services Partner status and AWS AI Services Competency. We work across Microsoft Azure and Google Cloud Platform. Our logistics technology ecosystem includes Snowflake, SAP, project44, FourKites, Manhattan WMS, Blue Yonder, and Oracle WMS, alongside EDI and carrier API integration frameworks.
We deliver inside ISO 27001, SOC 2, PCI DSS, and GDPR-regulated environments. For logistics clients, this covers cross-border shipment data, carrier financial information, customs documentation, and warehouse operational data. Security requirements are scoped and documented during the discovery phase, before architecture design begins.
We work across three models: Staff Augmentation with logistics and platform specialists, Managed Teams embedded in your organization, and Custom Solution Development for builds with defined scope. Engagement model selection depends on your internal capacity, program scope, and preference for operational control.
Briefly outline your project or challenge, and our team will respond within one business day with relevant experience and initial technical insights.