Our Products and Prototypes
Total of 16 products
NXW2.1P00A - Logistics Interface IoT Platform
| Version: 3.1 (web with incomplete data) |
As the core system for receiving data from NEXUS´s partners, it is an IoT platform for collecting, processing, visualising, and managing physical and virtual device data. It supports common IoT protocols such as MQTT, CoAP, HTTP, SNMP, and LwM2M. It provides simple dashboards, device and asset management, alarms, rule-based automation, integrations, and APIs for building scalable IoT solutions.
| Sector(s): Logistics |
| Application Scope(s): General |
| Metadata Metadata Model | Batch Batch Data | Real-Time Real-Time Data | LLM LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | agnostic | X | OK | X |
| Web Web App | C.Tower Control Tower | API REST API | Containers Containerized | |
|---|---|---|---|---|
| Integration | OK | X | OK | OK |
NXW2.1P00B - Historical to Real-Time Injector
| Version: 1.1 |
Core module that uses historical data to inject “current” real-data to the IoT Platform. The “current” data means data that was produced in a previous year at the same day and time. If configured, it can adjusts to different weekend dates between years and a higher injection time speed.
| Sector(s): General |
| Application Scope(s): General |
| Metadata Metadata Model | Batch Batch Data | Real-Time Real-Time Data | LLM LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | agnostic | OK | output | X |
| Web Web App | C.Tower Control Tower | API REST API | Containers Containerized | |
|---|---|---|---|---|
| Integration | OK | X | X | OK |
NXW2.1P01 - Real-Time Maritime Control Tower
| Version: 3.1 |
The Control Tower module, together with two 98 inches screens and two Mac minis, allows to visually glue together several other products, serving as an unified operational intelligence platform that integrates multiple maritime analytics, optimization, simulation, and monitoring solutions into a single real-time environment.
| Sector(s): Logistics |
| Application Scope(s): General |
| Web Web App | C.Tower Control Tower | API REST API | Containers Containerized | |
|---|---|---|---|---|
| Integration | X | OK | X | X |
NXW2.1P02 - Quay Crane Efficiency Benchmarking Tool
| Version: 1.1 |
A web-based interactive tool for benchmarking quay crane efficiency using Multi-directional Efficiency Analysis (MEA), visual analytics, and a conversational AI assistant. It helps port managers compare equipment performance, identify variable-level inefficiency drivers, explore operational trends, and obtain natural language decision support without requiring expertise in efficiency analysis methods. This tool can be used to measure efficient of other types of port equipment.
| Sector(s): Logistics |
| Application Scope(s): Terminal XXI (Port of Sines) |
| Metadata Metadata Model | Batch Batch Data | Real-Time Real-Time Data | LLM LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | agnostic | OK | X | (optional) |
| Web Web App | C.Tower Control Tower | API REST API | Containers Containerized | |
|---|---|---|---|---|
| Integration | OK | X | OK | OK |
NXW2.1P03 - High-Fidelity Digital Twin for Container Terminals
| Version: 1.1 |
A detailed and extensive Digital Twin for modeling container terminal operations based on Discrete-Event Simulation, battery (dis)charge equations and optimal pilling techniques, completely implemented in Python by the Team. The tool enables terminal planners, port authorities, and researchers to configure scenarios, simulate integrated quayside, yardside, and landside flows, compare up to five operational scenarios, evaluate KPIs with replications and confidence intervals, and test resilience under crane failures, battery constraints, gate capacity limits, rail operations, and adverse weather disruptions.
| Sector(s): Logistics |
| Application Scope(s): Terminal XXI (Port of Sines) |
| Metadata Metadata Model | Batch Batch Data | Real-Time Real-Time Data | LLM LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | specific | OK | OK | X |
| Web Web App | C.Tower Control Tower | API REST API | Containers Containerized | |
|---|---|---|---|---|
| Integration | OK | OK | OK | OK |
NXW2.1P04 - Smart and Trustworthy Root Cause Analysis Tool for Maritime Ports
| Version: 1.1 |
A web-based application that combines machine learning and explainable AI to predict, explain, and improve operational performance. Users can upload datasets, train predictive models, perform root cause analysis, and obtain actionable recommendations through interactive SHAP, PDP, and ICE visualizations. The platform supports both regression and classification problems, integrates real-time weather data, and provides prescriptive guidance for logistics and port operations.
| Sector(s): Logistics |
| Application Scope(s): Port of Sines |
| Metadata Metadata Model | Batch Batch Data | Real-Time Real-Time Data | LLM LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | agnostic | OK | X | X |
| Web Web App | C.Tower Control Tower | API REST API | Containers Containerized | |
|---|---|---|---|---|
| Integration | OK | X | X | X |
NXW2.1P05 - Real-time Vessel Berth Optimal Makespan Scheduling System
| Version: 1.1 |
An intelligent decision-support system, integrate in the Control Tower, that optimizes berth allocation and quay crane assignment to minimize the overall handling durations at container terminals. The system integrates real-time vessel position data through external APIs, predicts sailing time from anchorage to berth, estimates terminal operation durations, and considers quay crane availability, vessel dimensions, and operational constraints. Advanced optimization algorithms generate globally efficient schedules and resource allocations, enabling terminal operators to reduce waiting times, improve berth utilization, increase operational throughput, and enhance the overall efficiency and resilience of port operations. The system can also compute vessels collision risks.
| Sector(s): Logistics |
| Application Scope(s): Port of Sines |
| Metadata Metadata Model | Batch Batch Data | Real-Time Real-Time Data | LLM LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | specific | X | OK | X |
| Web Web App | C.Tower Control Tower | API REST API | Containers Containerized | |
|---|---|---|---|---|
| Integration | X | OK | OK | OK |
NXW2.1P06 - Vessel-Terminal Real-time Operations Monitoring
| Version: 1.1 |
A web-based port terminal monitoring and real-time visualization tool for Terminal XXI at the Port of Sines. The application visualizes (in real-time and for a specific time period) vessel arrivals, vessels in queue and in the berth, quay crane availability and service status, berth occupancy and estimated waiting time through an operations dashboard.
| Sector(s): Logistics |
| Application Scope(s): Port of Sines |
| Metadata Metadata Model | Batch Batch Data | Real-Time Real-Time Data | LLM LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | specific | X | OK | X |
| Web Web App | C.Tower Control Tower | API REST API | Containers Containerized | |
|---|---|---|---|---|
| Integration | OK | OK | OK | OK |
NXW2.1P07 - Container Flow Monitoring, Prediction, and Disruption
| Version: 1.1 |
An intelligent analytics platform for monitoring and predicting container movements inside port terminals and interfacing logistics networks. It ingests real-time container events through MQTT, classifies flows into Import, Export, and Transshipment operations, and predicts container dwell times. The platform includes an innovative anomaly detection index based on Algebraic Topology, developed by the team, to identify disruptions and emerging operational risks worldwide. Integrated with a Control Tower, it provides interactive visualizations, real-time situational awareness, predictive insights, and early-warning capabilities to support data-driven operational and strategic decisions.
| Sector(s): Logistics |
| Application Scope(s): Terminal XXI (Port of Sines) |
| Metadata Metadata Model | Batch Batch Data | Real-Time Real-Time Data | LLM LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | specific | X | OK | X |
| Web Web App | C.Tower Control Tower | API REST API | Containers Containerized | |
|---|---|---|---|---|
| Integration | partial | OK | X | OK |
NXW2.1P08 - Maritime Port World News and Events
| Version: 1.1 |
An AI-powered intelligence platform that continuously monitors global news, events, and data sources to identify developments that may impact port and maritime operations. Using large language models and customizable topic definitions, it automatically discovers, filters, summarizes, and categorizes relevant RSS news and alerts, including piracy incidents, geopolitical conflicts, weather disruptions, labor strikes, supply chain events, and regulatory changes. Managers can define their areas of interest, receiving timely, actionable intelligence through an integrated dashboard or Control Tower to support risk assessment, operational planning, and strategic decision-making.
| Sector(s): Logistics |
| Application Scope(s): General |
| Metadata Metadata Model | Batch Batch Data | Real-Time Real-Time Data | LLM LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | agnostic | X | OK | needed |
| Web Web App | C.Tower Control Tower | API REST API | Containers Containerized | |
|---|---|---|---|---|
| Integration | OK | OK | OK | OK |
NXW2.1P09 - Periodic Suggestions for Port Continuous Improvements
| Version: 1.1 |
It is a tool centered on algorithms for continuous improvement, generating regular reports that may (or not) be complemented with LLMs explanations. The algorithms are innovative and allow to find good practices and bad practices. It also have indices that reflect how relevant is the need for an improvement. Special care was taken on datasets over terminal operations but other port data can be used.
| Sector(s): Logistics |
| Application Scope(s): Port of Sines |
| Metadata Metadata Model | Batch Batch Data | Real-Time Real-Time Data | LLM LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | agnostic | OK | X | X |
| Web Web App | C.Tower Control Tower | API REST API | Containers Containerized | |
|---|---|---|---|---|
| Integration | OK | X | X | OK |
NXW2.1P10 - Port Dashboard with Higher UIX Usability (SeePort)
| Version: 1 |
A simple dashboard to explore some KPIs of the Port of Sines data, that was under a systematic scientific study of usability of its UIX.
| Sector(s): Logistics |
| Application Scope(s): Port of Sines |
| Metadata Metadata Model | Batch Batch Data | Real-Time Real-Time Data | LLM LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | specific | OK | X | X |
| Web Web App | C.Tower Control Tower | API REST API | Containers Containerized | |
|---|---|---|---|---|
| Integration | OK | X | X | X |
NXW2.2P01 - Real-Time Haulier Capacity Tracking
| Version: 1.1 |
A Control Tower component that provides real-time visibility of truck movements and transport capacities across Portugal. Using MQTT event processing and AnyLogic-based simulation technologies, the platform continuously tracks vehicle locations, identifies whether trucks are operating loaded or empty, and monitors fleet utilization patterns. Designed as a companion solution to the Haulier Capacities Prediction Platform, it delivers interactive visualizations, operational KPIs, and live situational awareness to support transport planning, capacity optimization, and logistics coordination.
| Sector(s): Logistics |
| Application Scope(s): General |
| Metadata Metadata Model | Batch Batch Data | Real-Time Real-Time Data | LLM LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | specific | X | OK | X |
| Web Web App | C.Tower Control Tower | API REST API | Containers Containerized | |
|---|---|---|---|---|
| Integration | X | OK | X | X |
NXW2.2P02 - Haulier Capacity Prediction Platform
| Version: 1.1 (web with incomplete data) |
An AI-powered forecasting platform designed to accurately predict haulier capacity availability and transport demand in highly sparse, zero-inflated time series where conventional machine learning models typically fail. The platform incorporates a novel set of meta-ranking algorithms developed by the team to intelligently select and combine forecasting models, significantly improving prediction accuracy and robustness. It supports strategic planning, resource allocation, and demand management across logistics networks. The platform also serves as a companion API for the Real-Time Haulier Capacities Tracking system, enabling seamless integration between predictive and operational decision-support capabilities.
| Sector(s): Logistics |
| Application Scope(s): General |
| Metadata Metadata Model | Batch Batch Data | Real-Time Real-Time Data | LLM LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | specific | OK | X | X |
| Web Web App | C.Tower Control Tower | API REST API | Containers Containerized | |
|---|---|---|---|---|
| Integration | OK | X | OK | OK |
NXW5.4P01 - Prediction and Optimization of Transport Fleet Arrival Times
| Version: 1.1 |
An interactive web platform (and Control Tower component) for managing, predicting, optimizing, and analyzing transport fleet arrivals into a geographic destination (e.g., a gate). It enables fleet managers to configure arrival windows, routes, speeds, and travel conditions, compare robust and flexible scheduling strategies, and stress-test performance under traffic and weather disruptions using Monte Carlo simulations. Users may use a mobile app to access the recommend optimized results.
| Sector(s): Logistics |
| Application Scope(s): General |
| Metadata Metadata Model | Batch Batch Data | Real-Time Real-Time Data | LLM LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | specific | OK | OK | X |
| Web Web App | C.Tower Control Tower | API REST API | Containers Containerized | |
|---|---|---|---|---|
| Integration | OK | OK | OK | X |
NXW5.4P02 - Green Cargo Quotation System
| Version: 1.1 |
A multimodal freight quotation engine that identifies the optimal cargo transportation alternatives based on cost, CO₂ emissions, and transit time. Through a set of interoperable APIs, it evaluates direct and multi-leg routes across maritime and inland transport networks, including complex paths such as A→B→C. The platform integrates with external logistics providers through specialized plugins, enabling access to vessel schedules, freight rates, and inland transportation services. Designed for seamless integration into logistics ecosystems, it delivers sustainable, data-driven cargo quotations without requiring a dedicated user interface.
| Sector(s): Logistics |
| Application Scope(s): General |
| Metadata Metadata Model | Batch Batch Data | Real-Time Real-Time Data | LLM LLM Usage | |
|---|---|---|---|---|
| Data Capabilities | plugin | X | OK | X |
| Web Web App | C.Tower Control Tower | API REST API | Containers Containerized | |
|---|---|---|---|---|
| Integration | X | X | OK | OK |