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Warehouse management (WMS) software Industry 4.0 Big Data
analysismonitoringquality

Warehouse management (WMS) software - Industry 4.0 Big Data - DATARIVER SRL - analysis / monitoring / quality
Warehouse management (WMS) software - Industry 4.0 Big Data - DATARIVER SRL - analysis / monitoring / quality
Warehouse management (WMS) software - Industry 4.0 Big Data - DATARIVER SRL - analysis / monitoring / quality - image - 2
Warehouse management (WMS) software - Industry 4.0 Big Data - DATARIVER SRL - analysis / monitoring / quality - image - 3
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Characteristics

Function
warehouse management (WMS), analysis, monitoring, quality, production and logistics optimization, ERP, machine learning, MES, data collection
Applications
industrial, mechanical, for Industry 4.0, for pharmaceutical applications, for medical applications
Type
real-time, automated

Description

The Big Data and Industry 4.0 solutions offered by DataRiver are based on Web and Mobile platforms that exploit the most advanced technologies in the fields of Industrial IoT, Big Data, Artificial Intelligence (AI) and Machine Learning to: Ensure the efficient collection and management of Big Data generated by sensor networks and machines Enable continuous monitoring of production lines and warehouses Provide real-time analysis of production performance and product quality Learn from experience and implement predictive maintenance policies, optimize production processes and reduce energy consumption Who is it for? Ceramic, Mechanical, Logistics, Farmaceutical and Biomedical sectors DataRiver’s Big Data and Industry 4.0 solutions enable Production Managers, Logistics Managers, Quality Managers and Security Officers of client companies to achieve the following competitive advantages: Developing Industry 4.0 innovative products and services to be supplied to the market Improving the quality of products and production processes by integrating and analyzing Big Data produced by machines Optimizing maintenance services to customers through timely alarms on the operating state of machines Reducing production costs by reducing failures and unexpected malfunctions Optimizing energy consumption and reducing production costs thanks to the implementation of “energy saving” policies Automated collection and efficient management of Big Data from machines, sensor networks, mobile devices, and integration with company information systems (ERP, DW, WMS, MES) as well as data sources external to the company.
*Prices are pre-tax. They exclude delivery charges and customs duties and do not include additional charges for installation or activation options. Prices are indicative only and may vary by country, with changes to the cost of raw materials and exchange rates.