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How has data and machine learning transformed transport logistics?

20.06.2018

Innovators in the strapping industry, Mosca UK, discuss how machine learning and advances in data analysis are aiding the transport logistics industry. Mosca is proud of its reputation as industry leaders when it comes to innovating strapping technologies. Developing ‘SMART’ solutions for the forward thinking logistics sector is what continues to drive business.

Traditionally defined by infrastructure and vehicles, the transportation and logistics industry has seen significant changes due to the introduction of automation and data exchange technologies.  Advances such as real-time data analysis give companies end-to-end visibility of both fleets and product, meaning operations have become more streamlined than ever before. 

Machine learning

The use of SMART tools (Self-Monitoring Analysis and Reporting Technology) has meant a reduced need for manual labour and human intervention.  Many supply chains use automated systems to anticipate demand and order volumes. This reduces operating costs and enables distributors to predict timing and quality much more efficiently.  Machines involved in the distribution process are often fully automatic; objects can be sensed and controlled remotely with machines capable of learning individual product settings, improving efficiency and reducing the need for specified programming or human involvement. 

Rob Toolen, Sales Manager for Mosca UK, comments: “The logistics sector is increasingly important for Mosca and we see ourselves as an essential partner for end-of-line processing and packaging.  We have had a huge focus on new technological developments and applications for industry 4.0.  This includes a new RFID system that enables Mosca’s customers to automate order processing for strapping material by identifying stock levels and independently activating reorders.  Our networking options go far beyond this example however.  All of Mosca’s class III and higher strapping machines have a networking option and can be added into complex lines to simplify production.  For example, the TR-6 Pro model with Mosca software makes it easy for users to set a range of different strapping programmes and settings which are activated by external interfaces - QR codes or other sensor signals such as box height or even colour -  allowing for differentiation between packages.”

GPS mapping

Where driver and delivery efficiency are concerned, technology is instrumental in controlling daily operations and tracking goods accurately. Technology makes it easier for businesses to implement inputs like GPS and barcodes which help to save both time and money.  Deliveries can be scheduled far more accurately as vehicles are automatically monitored, making it easy to track real-time delivery information and receive specific alerts when exceptions occur such a traffic delays, damages or even theft.  This in turn helps to maintain and improve customer relationships.

Data analysis

Thanks to the instant data available via SMART tools, companies are able make more effective decisions to improve profitability and viability. The development of software and data management systems means that information can be effectively interpreted to aid the efficiency of the supply chain, thereby improving delivery activity status and project flow. This complete end-to-end visibility facilitates effective decision making and reduces delays due to error. 

Rob Toolen explains how Mosca machines are an important part of the supply chain process: “Mosca’s EVOLUTION series of strapping machines are equipped with networking compatibility for high-end applications.  Remote maintenance options allow our experts to access the machine to quickly diagnose and, if necessary, install new software.  This sort of capability ensures that we are able to support logistics businesses to increase production efficiency.”

Delivery speed

Thanks to technological advances, a decline in human intervention and streamlining of the supply chain processes, delivery speed and management are now more efficient than ever, keeping up with the demands  and expectations of online shoppers.    

“Over the next few years we will experience the next stage of the information revolution.  More sophisticated artificial intelligence will mean increased inter-connectivity within the supply chain, promising complete autonomy, self-management and improved delivery speeds. Of course, the success of connecting devices is reliant upon access to, storage and processing of data; with evermore focus on privacy and security, these issues must be addressed before we move forward with this exciting new phase,” concludes Rob.

Mosca's road to the future!
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