Freight analytics
Freight analytics provides a better understanding of the conditions that can cause damage during transportation and storage. Analytics can be used to prevent future damage and increase efficiency.
Menu
Freight data analytics can be used to streamline the supply chain and improve cost efficiency. We offer our customers customized solutions in freight analytics, from design and equipment procurement to user training and support.
Transportation analytics
Deliveries can be monitored in real time with sensors and a network system. The sensors transmit real-time data of transport and storage conditions, such as temperature, humidity, shocks or tilts of the product, as well as location.
Data alone does not bring benefits for the business but needs to be transformed into knowledge. There are many good self-service tools available for analysis that do not require in-depth analytical skills. These tools provide the user with near real-time analysis. Most Business Intelligence applications also include advanced analytics features to assist with forecasting and optimization.
Benefits of freight analytics
Real-time analytics allow rapid detection of anomalies. Technologies developed by Intel and Microsoft provide a cost-effective solution to improve visibility during transport and storage.
Prediction
Real-time and comprehensive data can be used to predict trends and take advantage of insights.
Competitive advantage
Supply chain efficiency, predictions and trend detection bring a competitive advantage.
Real-time tracking
Thanks to real-time analytics, any deviations are detected quickly and can be addressed immediately.
Loss prevention
Monitoring transport conditions and real-time tracking with alarms will help reduce losses.
Technology
We utilize Azure’s ready-made services in our analytics solutions supplemented with customized solutions when necessary. This way, the solutions fit well into the customer’s processes, but the projects are quick to implement and cost-effective. Microsoft is the current market leader in IoT platforms and Microsoft’s Azure IoT Hub is used by several large companies such as Starbucks, Verizon, Volkswagen, Yusen Logistics, General Electric and Bosch.
We are an official partner of Intel and offer Intel® Connected Logistics Platform (Intel® CLP) solutions. Intel® CLP is a platform that provides solutions for inventory management and active tracking of deliveries.
We utilize Arrow ECS partnership and expertise when it comes to choosing the right equipment for each project. Arrow is a global provider of products, services and solutions for industrial and commercial users of electronic components and enterprise IT solutions.
Our data analytics services
Data management
Intelligent data management overcomes data silos and enables data to be used by those who need it. In a rapidly changing operating environment, systems must also change. We design and implement a flexible data architecture for your company securely in the Microsoft Azure cloud.
Microsoft Business Intelligence
We implement Business Intelligence reporting, analysis, integration, and data warehousing solutions that provide you with up-to-date and comprehensive information on various systems. In the solutions, we utilize the technologies of Microsoft, the market leader in analytics platforms, e.g., Azure Cosmos DB, SQL Server, Data Factory, Azure Data Lake Storage, Azure Databricks, Timer Series Insights, Azure IoT Hub, Azure Synapse Analytics, Azure SQL, Power BI.
Machine learning and artificial intelligence
Machine learning and artificial intelligence are key part of data analytics, as they can be used to make fast analysis of large amounts of data. We help you find suitable business cases and realize the benefits of machine learning.
Internet of Things
By combining the physical and digital worlds, you create added value for your business. The Internet of Things brings you valuable data to help you get new insights about your business. Many companies are already reaping the benefits of the IoT. We offer IoT solutions from design to maintenance.
