Custom logistics software development for efficient, scalable supply chains

Whether you're a logistics provider, freight forwarder, or 3PL, CIGen offers the software expertise to streamline your operations with Azure-powered solutions and real-time intelligence

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Modernize transportation & logistics applications with CIGen

Take your logistics systems to the next level with modernization strategies tailored for scalability, integration, and cloud performance. CIGen offers industry expertise for logistics providers, 3PLs, and freight companies, helping upgrade critical tools to stay efficient, connected, and AI-ready.

Transportation management system (TMS)
Warehouse management system (WMS)
Order management system (OMS)
Fleet and asset tracking system
Logistics partner integration layer
Billing and freight invoicing system
Supply chain analytics platform
AI-enabled logistics assistant

We can help you to:

Build custom apps

Design and develop transportation and logistics applications tailored to your workflows — from TMS and WMS platforms to customer portals and fleet tracking systems.

Our team helps you avoid the limitations of off-the-shelf tools by delivering solutions that match your business logic, compliance needs, and integration landscape. With a cloud-native approach, we ensure your apps are scalable, secure, and future-proof.

Integrate logistics solutions

Connect your logistics ecosystem through seamless integrations with ERP, CRM, EDI, GPS, IoT, and 3PL systems.

We help you unify siloed tools to enable real-time data exchange and improved decision-making across the supply chain. Whether you need to bridge legacy infrastructure or embed third-party APIs, we ensure interoperability and workflow efficiency.

Modernize T&L apps

Upgrade aging transportation and logistics applications into modern, cloud-ready systems that support today’s speed and scalability requirements.

We re-architect legacy software into modular, service-based solutions using Azure technologies, microservices, and containerization. This process improves performance, reduces technical debt, and lays the foundation for AI/ML integration.

Logistics software development services

CIGen’s logistics software development services help freight, warehousing, and 3PL companies digitize their operations, modernize legacy systems, and unlock AI-powered supply chain intelligence.

Develop tailored platforms and tools that fit your business model - not the other way around.
Transportation and fleet management apps

Custom TMS solutions for shipment planning, multi-modal routing, and carrier coordination.

Warehouse and inventory management software

Track goods with barcode/RFID, manage slotting logic, and sync with purchasing systems.

Customer portals and mobile apps

Enable customers to book, track, and communicate through branded, mobile-friendly web and native apps.

Freight billing and settlement systems

Automate invoice generation, payment tracking, and reconciliation with accounting platforms.

Rebuild legacy logistics systems into scalable, secure, and cloud-native applications that meet today’s business demands.
Legacy audit and refactoring roadmap

Assess your current system and define the right modernization path — rehost, refactor, or rebuild — depending on business and tech priorities.

Cloud-native replatforming

Re-architect monolithic logistics applications into microservices using Azure Kubernetes Service and .NET 7.

CI/CD for logistics platforms

Implement DevOps pipelines for logistics apps to support frequent releases, rollback, and test automation.

UI/UX modernization

Redesign old interfaces into responsive, intuitive dashboards or portals for operators, dispatchers, and clients.

Unify your logistics data and processes with seamless integrations between platforms, partners, and legacy systems.
ERP and CRM integration

Connect logistics platforms to systems like SAP, Oracle, or Salesforce to enable end-to-end process automation.

EDI and API connectivity

Enable real-time data exchange with carriers, 3PLs, and suppliers using modern APIs or traditional EDI protocols.

IoT and telematics data ingestion

Capture and integrate GPS, RFID, and sensor data to enable live fleet and asset tracking.

Middleware and orchestration strategy

Design efficient communication layers between internal and external systems using Azure Integration Services.

Integrate AI into your logistics stack to automate workflows, enhance visibility, and increase operational precision.
AI strategy and use case discovery

We help identify the highest-impact areas for AI — from driver behavior analysis to delivery time prediction and dynamic routing.

Machine learning model consulting

Get guidance on ML models tailored for logistics, including ETA forecasting, load optimization, and anomaly detection.

Generative AI in logistics operations

Explore the use of GenAI for document summarization, customer service automation, and internal knowledge retrieval.

Azure AI integration

Deploy AI models securely using Azure Cognitive Services and Azure Machine Learning across your supply chain.

Make smarter decisions across your supply chain with real-time dashboards, operational insights, and demand forecasting.
Logistics data strategy and architecture

We help define data architecture that supports scalable analytics, from centralized data lakes to structured reporting warehouses.

Operational dashboard design

Design custom dashboards that bring visibility into key logistics KPIs — from on-time delivery to inventory turnover and route efficiency.

Predictive analytics and demand modeling

Use historical data, external signals, and AI to anticipate demand surges, optimize fleet use, and reduce bottlenecks.

Power BI and Azure Synapse integration

Leverage Azure-based BI tools for secure, scalable reporting connected to logistics management systems and IoT sensors.

Ready to modernize your logistics systems with CIGen?

Streamline operations, improve visibility, and boost efficiency with purpose-built logistics software. From custom app development to cloud migration and AI integration, our team is here to help you move faster, smarter, and at scale.

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Why hire a custom logistics software development company?

Tailored functionality

Get solutions designed around your unique workflows, from freight management to warehouse coordination.

Scalable architecture

Build software that grows with your business and adapts to evolving logistics demands.

Faster decision-making

Leverage integrated analytics and real-time data flows to optimize routing, inventory, and performance.

System interoperability

Seamlessly connect with ERPs, CRMs, and third-party logistics platforms through secure API and EDI integrations.

Reduced manual work

Automate key operations like dispatching, billing, and inventory control to save time and reduce errors.

Competitive advantage

Use modern logistics software to increase visibility, reliability, and service speed across the supply chain.

AI for logistics: 7 popular applications

01
Route optimization

AI algorithms dynamically adjust delivery routes based on traffic, weather, and real-time conditions.

Companies like UPS use AI-powered systems (e.g., ORION) to optimize daily routes, saving millions of gallons of fuel annually.

02
Demand forecasting

Machine learning models analyze historical shipment data, market trends, and external factors to predict future demand.

DHL applies AI forecasting to optimize warehouse staffing and inventory management in fluctuating markets.

03
Predictive maintenance

AI systems monitor vehicle telemetry and service logs to predict mechanical issues before failures occur.

Maersk uses predictive analytics to schedule maintenance for its container ships, minimizing unexpected downtimes.

04
Automated warehouse operations

Computer vision and AI guide autonomous robots for picking, packing, and inventory management.

Amazon Robotics leverages AI-driven mobile robots to enhance fulfillment center efficiency and reduce order processing time.

05
Cargo and load optimization

AI helps determine the most space- and cost-efficient way to pack goods into containers, trucks, or cargo holds.

Flexport applies AI algorithms for cargo load planning to maximize shipping capacity and reduce transportation costs.

06
Real-time shipment tracking

AI enhances visibility platforms by predicting shipment ETAs and flagging risks using GPS, weather data, and carrier status feeds.

Project44 and FourKites integrate AI models to provide predictive tracking for global shipments.

07
Customer service automation

Logistics companies use AI-powered chatbots and virtual assistants to handle booking, tracking queries, and issue resolution.

FedEx’s virtual assistant automates common customer interactions, freeing up human support teams for complex cases.

Top AI technologies used in supply chain industry

Computer vision
Machine Learning Models (MLM)
Natural Language Processing (NLP)
Predictive analytics
Reinforcement learning
Generative AI

Clients about our cooperation

See what our clients say about the way our team helped them leverage their business potential.

They don’t just write code, they think through projects to make sure they find the best solution. Because of their thorough researching processes, their deliverables consistently exceed expectations.

Michael Rodriguez

CEO, InnovateTech Solutions

We are happy to share our thoughts on how professional, committed, and flexible CIGen is. The team we have worked with is always respectful and organized. Listening is one of their biggest strengths, as every time we present an idea for improvement we receive many suggestions for its realization.

Justas Beržinskas

Co-Founder at Kloogo

Working with the CIGen team is a rewarding and satisfying experience. Professionally, they are smart experts committed to understanding your needs and bringing to life what you are looking for. I think they are warm and welcoming people. I am looking forward to working again with the CIGen team.

Andreas Mildner

Co-Founder and Manager at GenieME

We have been working with CIGen for a few years. Our close cooperation brings significant value and result. They think from a business perspective, meet time-lines and budget. We have completed several projects and continue working together. Happy to recommend!

Michael Nilsson Pauli

CEO & Co-founder at Kodexe

The team addresses concerns promptly and generally completes tasks on time. Moreover, they pay close attention to the client’s needs. They work hard and take ownership of their tasks, resulting in a truly smooth collaboration.

Nandu Majeti

CTO at Rocktop Technologies

CIGen delivered a high-quality coded mobile app, which satisfied our requirements. They communicated daily and asked only relevant questions to identify the key to the project development. We were impressed with their expertise.

Alexander Schultz

CEO at Third Act

Thanks to CIGen, we reduced our technical debt and received ample support for their strategic technical initiatives. The team has a great project management approach and always aims to improve their partnership with us. Moreover, their members are proactive and highly skilled.

Karl Otto Aam

CTO at Skytech Control

Other services

App modernization

Boost performance, accelerate deployments, and reduce costs, all while enhancing key
business metrics.

Azure migration

Leverage the expertise of Azure cloud to fuel your digital transformation journey, ensuring a competitive edge in a tech-driven marketplace.

Native development

Embark on a digital transformation journey that amplifies your business agility and operational excellence.

Mobile development

Our Azure-centric mobile development services merge innovation with efficiency, turning your bold ideas into dynamic, user-centric mobile applications.

T&L industry-wise consulting

At CIGen, we understand that transportation and logistics businesses operate under unique pressures — from razor-thin margins to complex partner networks. Our team brings real-world experience navigating these nuances and building software that meets both operational and compliance demands.

High volume, low margin operations

Logistics businesses often run on tight margins, where even minor inefficiencies can impact profitability. We focus on automation, optimization, and cost control in every solution we build to help you do more with less.

Real-time visibility requirements

Timely access to shipment, fleet, and inventory data is critical for planning and customer satisfaction. Our solutions integrate GPS, IoT, and external data sources to provide up-to-the-minute insights across the entire supply chain.

Legacy system dependence

Many logistics companies still rely on aging infrastructure that’s difficult to scale or integrate.

We specialize in modernizing legacy, TMS, WMS, and partner systems without disrupting daily operations.

Complex multi-party ecosystems

From shippers and carriers to customs and last-mile partners, logistics is deeply interconnected. We build systems that enable smooth data flow between stakeholders via secure APIs and EDI protocols, ensuring coordination and compliance at every touchpoint.

Logistics software development lifecycle designed for supply chain success

Our logistics SDLC model helps you modernize, automate, and optimize core systems — from transportation and warehousing to tracking and invoicing.

Needs discovery

Identify critical pain points in supply chain operations and define the goals of the software solution.

Process mapping & system audit

Analyze workflows, legacy systems, and integrations to design an optimal modernization path.

Solution design & architecture

Design a scalable, secure system architecture tailored to transportation, fleet, or warehouse operations.

Agile development

Build custom logistics applications iteratively with frequent stakeholder input and domain-specific logic.

System integration & deployment

Connect your solution with ERPs, TMS/WMS, or telematics platforms for smooth data exchange and visibility.

Performance testing

Test the solution under real-world logistics loads to ensure reliability, uptime, and accurate data processing.

User training & rollout

Support adoption with intuitive UX, documentation, and stakeholder onboarding across all logistics roles.

Support & scalability

Continuously monitor, update, and scale the system as logistics demands evolve or expand into new regions.

Custom logistics software develoment services: FAQ

We aim to supply our clients with exhaustive information about the way we engage in partnership for ease of ​doing business and transparency. We’ve collected a few facts that help you understand our processes.

What is predictive analytics in logistics?

Predictive analytics uses AI algorithms to anticipate and solve logistics challenges before they occur.

It supports:

  • Demand planning using time-series models and historical sales data
  • Capacity forecasting for trucks, warehouses, and last-mile delivery
  • Delay risk prediction based on weather, route, and carrier performance data
  • Labor planning by forecasting warehouse workload and delivery volumes
  • Inventory optimization through predictive stock replenishment models
How does IoT support AI in logistics?

IoT provides real-time data that fuels AI-powered decision-making in logistics and transportation.

Key applications include:

  • Fleet tracking with GPS and accelerometer data for route optimization
  • Cold chain monitoring using temperature and humidity sensors
  • Driver behavior analysis through onboard diagnostics and IoT devices
  • Asset location tracking for containers, pallets, and vehicles
  • Proactive maintenance alerts powered by sensor-based analytics
What is the role of NLP in logistics?

Natural Language Processing (NLP) enhances communication and document handling in logistics.

Applications include:

  • AI chatbots and voice assistants for shipment status and rebooking
  • Email parsing and intent recognition in customer support systems
  • Invoice and bill of lading extraction using OCR and NLP models
  • Document translation for cross-border freight and customs paperwork
  • Driver and dispatcher communication tools with voice-to-text features
How is computer vision used in logistics?

Computer vision automates visual inspection and tracking tasks across logistics operations.

Use cases include:

  • Barcode and label scanning for faster goods receiving and dispatch
  • Damage detection on packages via AI-powered image recognition
  • Cargo measurement and dimensioning for load optimization
  • Shelf and pallet monitoring in warehouses for stock accuracy
  • Safety compliance monitoring through CCTV analysis and object detection
What are the top AI applications in logistics?

AI in logistics improves efficiency, accuracy, and decision-making across the supply chain.

Leading applications include:

  • Route optimization using machine learning and traffic data for TMS platforms
  • Demand forecasting based on historical order data and external market trends
  • Predictive maintenance for fleet vehicles using AI-powered telematics
  • Warehouse automation using computer vision and robotics in WMS systems
  • Shipment tracking and ETA prediction through real-time data analytics and AI models

Can you integrate existing logistics tools with our ERP or CRM?

Absolutely. Our team has certified engineers to design and implement API and EDI integrations to connect your software with existing business tools (for example, SAP, Oracle, or Salesforce).

Can CIGen team develop mobile apps for transport and fleet management?

Yes, our logistics application development services include Android/iOS apps for drivers, dispatchers, and clients, built with .NET MAUI or React Native.

What is custom software development for logistics companies?

Custom logistics software development means designing systems tailored to your specific shipping, warehouse, or supply chain needs, rather than using off-the-shelf tools.

Let's create a logistics software ecosystem tailored to the way your business moves

Contact us