Automation makes logistics simpler and more efficient as it minimizes the risk of human error and increases productivity. To give you an idea of the importance of data analytics in logistics, the international big data analytics market is valued at $307.52billion. In 2023 alone, 91.9% of organizations received satisfactory returns from their investment in data analytics. Besides improving your customer service and moving ahead of competitors, different types of data analytics like predictive analytics in logistics helps save costs. Reports claim that 3 out of 5 businesses rely on data analytics. You can optimize your freight operations and reach greater customer success by using big data in logistics to its full potential.      

Advantages of data analytics in logistics

Business owners and data leaders are increasing their investments in data analytics for freight forwarding. You can achieve your targets using simpler methods, lower expenditure, and improved human resource management thanks to automation.  

Representation of insights

Having supply chain insights handed over you as figures in a report makes them difficult to interpret. Track your current progress and base your future plans on insights from predictive analytics in logistics for higher productivity.

Efficient big data processing

When you receive raw data from multiple sources, you have to sort it out and extract meaningful insights from it. Organizing data through manual means is a low and difficult process that’s best taken care of using automation.

Accurate forecast reports

Inaccuracies and inconsistencies in big data in logistics reports can lead to serious problems during your operations. Relying on a predictive tool that delivers precise forecasts can help you get your desired results without any fuss.

Reduced operational costs

Mistakes are costly and automation assists you in decreasing the number of inaccuracies in your data analytics. Save resources and money by signing up for analytical software for efficient supply chain management.  

Improved risk management

Real-time tracking of shipments, automated inventory management, and other features of freight software can give you the data you require to prepare for operational risks. Use data analytics in logistics for secure supply chain management.

Well-informed decisions

Data-driven actions in freight forwarding ensure that your plans are based on facts, not assumptions. You can make better decisions for your business when data analytics shows you important patterns that are relevant to the integrity of your supply chain.

Effective data sharing

Internal and external communication and reporting requires security, precision, and responsiveness. Gather big data in logistics, feed it into an analytical tool, generate reports, and share them with your stakeholders and team.  

Top rated tools for data analytics in logistics

There are different types of analytical tools you can rely on for streamlining supply chain management. Statistical tools are helpful for generating insights regarding various areas of your business. Comparing data gives you an idea about progress and predictive analytics in logistics is essential for accurate forecasting reports. Data mining tools can reveal patterns to give you a clear picture of your processes and identify irregularities that hint at bigger problems. Text-based data can be a large part of big data in logistics and text analytics tools are recommended to process it faster.     

Get the visuals you need to make better sense of your data through visualization tools. A proper dashboard gives you quick and easy access to your organized data while reporting tools can help you record your observations from data analytics in logistics.

High Jump

Freight forwarders who wish to elevate their responsiveness and provide customized solutions to their customers benefit from selecting High Jump Supply Chain Management Software. It supports the creation of comprehensive reports based on big data in logistics. Get real-time information about your shipments, improve your reaction time, enhance risk assessment, and manage your inventory with High Jump.  

Cognos

Business intelligence at its finest, Cognos by IBM is a smart solution for handling supply chain analytics, including predictive analytics in logistics. You have all the features you need to gather insights, develop plans, and respond to the problem at hand. Organize your data from different operational areas in one place using Cognos. Sign up for a free trial and optimize your analytical strategy.  

Axway

Feel the difference in data collection, planning and execution of strategies related to supply chain management when you choose Axway. Going for an approach centered on connecting customer experience networks, Axway enables you to make well-informed decisions about your freight operations. You can obtain big data in logistics, feeding it to Axway for actionable insights.  

TIBCO

Freight forwarders who are interested in tools that facilitate integrations in supply chain management enjoy TIBCO for data analytics in logistics. You can expect data visualization that gives you the information you require to excel in managing supply chains. Besides getting real-time feedback, you can also gain a competitive edge with predictive analytics in logistics.

Qlik

Understanding the need for the latest data and the accuracy of freight data, Qlik has developed software that you can depend on during your regular operations. Qlik gives you the insights you require to make the best use of data analytics in logistics. From handling your inventory to improving your billing practices, Qlik is there to support your team.  

IMI by Aptean

Aptean brings your IMI Supply Chain Analytics, encouraging you to streamline your operations and achieve your objectives within a fraction of the time that manual processes take for the same results. Learn how to use big data in analytics and provide guidance to staff in various operational areas. You have access to data from real-time shipment tracking as well as warehouse analytics.  

FusionOps

Enjoy the power of AI, Cloud, and big data present on a single platform that gives you the ability to improve your operations within a short amount of time. Automated systems such as FusionOps make search fast and simple since the data is gathered at one point. Improve route management, invoice management, sustainability, customer experience and predictive analytics in logistics using FusionOps.

Solvoyo

Operational optimization becomes a more efficient process when you have planning and analytical tools available together on your dashboard. Enjoy the integrations for data analytics in logistics that Solvoyo supports to help out your staff. Let data from other sources flow to one point, organize your data, and process it to gain new insights.   

TARGIT

The insights you gather from TARGIT allow you to identify challenges and develop sustainable solutions. You can turn your data into a full-fledged action plan with a little help from TARGIT. Customize your dashboard to arrange your priorities and control access for greater data security. Visualize big data in analytics and make better decisions for your business with TARGIT.  

Tableau

Offering a user-friendly interface that shortens your learning time and increases your speed at work, Tableau is winning at data analytics in logistics. Handle your inventory and ensure that your shipment schedules are always updated. Stay punctual while optimizing your route management and using their forecasting feature to make better decisions. Sign up for Tableau’s free trial to get started. 

 Choose the software you prefer depending on your budget, business requirements, objectives, existing setup, and long-term strategy. Refine your supply chain management through automation while focusing on big data in logistics as a reliable source of useful insights.

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