Digital Logistics
Supply Chain Efficiency for Energy and Transport Projects
Arezza services for ports, marine and truck operators, small and midsize manufacturers and other businesses reduce product cost and delivery times and achieve economies of scale to benefit domestic and export customers.
Data-Driven Insights improve visibility, operational efficiency and maintenance outcomes for your machinery as well as optimum asset productivity, performance and fuel consumption.
Ports Marine and Truck Equipment Tracking with real-time location reports that optimize utilization and pinpoint lost equipment. Vehicle Location technology enables vehicle tracking, fuel cost savings, travel route optimization, cargo monitoring and security.
Supply Chain Efficiency with AI-Driven Parts Sourcing
Simplify procedures to purchase, reuse and design parts.
Identify the best parts from qualified suppliers in one centralized place
Reduce design cycles by standardizing parts and increase their reuse
Product Lifecycle and Supply Chain Management
Manufacturers and other small to miid-size businesses that design, make and market products need to leverage Design-to-Cost issues such as value analysis, competitive benchmarking and reverse costing of competing products that involve suppliers in the engineering process as well as integration of 4.0 principles and technologies - augmented reality, big data, e-maintenance - in order to offer intelligent and connected products.
Electric Smart Grid Management via Remote Asset Monitoring
Energy Service Companies are turning to IoT enabled smart grid monitoring systems to improve the reliability and availability of real time field data, while decreasing power usage, system overloads and outages, as well as:
Reduce Data Costs - processing data at the edge reduces data transmission costs and ensures efficient and continuous distribution of electricity.
Achieve Device Integration - smart satellite terminals can be integrated with measurement devices such as smart meters for the reliable real-time exchange of field data.
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