Adexin

The company's mission is to help logistics companies improve complex operations through software built around their real workflows, systems and business goals. Transparency, ownership and engineering quality guide its work. Adexin communicates openly, takes responsibility for delivery and builds software intended to remain reliable and maintainable after launch.

• Data science, including predictive maintenance, analytics, process mining, pattern recognition, cluster analysis and information retrieval.
• Predictive analytics and modelling for demand forecasting, recommendations, churn prediction, fraud detection, sentiment analysis and customer segmentation.
• Computer vision for interpreting images and video, recognising objects and deriving information from visual inputs.
• Natural language processing for transcription, text analysis, opinion gathering, translation, classification and question answering.
• AI integration, including ChatGPT and Stable Diffusion integrations.
• AI automation for document data extraction, calculations and workflow improvement.
• Deep learning, autonomous systems and intelligent assistants.

Adexin uses AI throughout the software development lifecycle, including analysis, coding, testing and documentation. Engineers retain responsibility for quality and architecture. AI can also be added to existing software through document processing, intelligent search, forecasting, recommendations, assistants and workflow automation.

AI development frameworks and tools listed by Adexin include Python, PyTorch, ONNX, OpenMMLab, PaddlePaddle, MediaPipe, Keras, NumPy, Torch, TensorFlow, OpenVINO, OpenCV, Hugging Face Transformers, YOLO and AWS ML. Model expertise includes GPT-5, GPT-4.1 and OpenAI O3/O4-mini.

Adexin develops tailored operational systems for logistics, transportation and supply chain businesses. Its solutions are built around each company's workflows, systems and goals rather than the limitations of off-the-shelf products.

Areas of expertise include:

• Logistics: Freight management, forwarding, routing, delivery, inventory, order management and document automation.
• Transportation: Custom transportation management systems, dispatch, fleet management, tracking, driver applications and mobility solutions.
• Supply chain: Procurement, planning, visibility, forecasting, ERP integrations and workflow automation.

Adexin develops systems including transportation management systems (TMS), warehouse management systems (WMS), freight management, dispatch, tracking and document automation solutions. It also provides cloud engineering, scalable software, custom integrations and ongoing maintenance, support and improvement after launch.

The main technologies listed by Adexin include TypeScript, Node.js, React, PostgreSQL, AWS, cloud infrastructure, mapping technologies and AI tools.

1. Understand needs: Meetings are held to discuss business needs and challenges. Adexin may suggest signing an NDA to protect sensitive information. This stage usually takes one week.
2. Solution and estimation: Adexin determines a suitable solution and provides a rough estimate of the required time and resources.
3. Project planning: The budget, timeline and team structure are planned jointly, followed by an official agreement.
4. Phase 1.0 / MVP: Critical functions are implemented and tested first. This phase usually takes approximately 3–12 months. Adexin commonly uses Kanban, with daily team status reports, weekly reports, biweekly demos and monthly invoicing.
5. MVP testing: Initial feedback from real users is gathered. This phase usually takes approximately 1–2 months and helps identify what should be added or changed.
6. Further phases: Additional features, functions and logic can be developed as needed.

Adexin uses clear requirements, code reviews, automated and manual testing, quality assurance and continuous client feedback to control quality. Cooperation can adapt as project priorities, team needs and business requirements evolve. Adexin offers a free consultation for discussing a project.

• Centralised storage of asset data, including location, usage history and predictive maintenance insights.
• Tracking of warehouse equipment such as electric pallet trucks, tools, machinery and racks.
• Real-time monitoring, location mapping, anomaly response and operational reporting.
• Mobile asset tracking through devices and applications used by field workers.
• RFID, barcode, QR code, BLE, UWB, NFC and GPS tracking integrations.
• Scheduled and predictive maintenance tracking using computer vision, machine learning and IoT technologies.
• Fleet planning, scheduling and tracking for drivers, trucks and shipments.
• Analytics, KPIs, visual reporting and predictive insights into asset utilisation.
• Integrations with WMS, TMS, DMS, ERP, CRM and other business applications through APIs.

Adexin's asset tracking solutions are designed to support real-time reporting, data-driven decisions, scalability, security, reduced manual errors and improved operational control.