top of page

Big data in logistics

Updated: Feb 4, 2022

Current status quo

The increasing shortages of drivers, blockages caused by COVID-19, progressive changes in climate and weather, the growing number of attacks on means of transport such as trucks and ships, or the threat of severe cyber attacks - all being challenges that can jeopardise logistics and disrupt the supply of goods. Delivery delays lead to lost sales, loss of customer confidence, can damage brand reputation, and also incur significant costs. There is therefore incredible potential in the use of big data in logistics.

As a result, more and more companies are turning to data-driven delivery planning and tracking to increase the visibility of data, resources and improve supply chain traceability. The potential of big data in logistics is huge.

To gain insights from logistics data, all sub-sectors, such as transportation, warehousing, and shipping, must be considered individually and as a whole. The entire value creation process is connected and visualized. In addition, not only the producer itself but also all associated logistics service providers and suppliers must be considered. In particular, the way in which data is collected, processed, and evaluated has changed in logistics. More and more companies connect their data with intelligent data visualization tools like MIXMOVE.

The solution's suitable interfaces, which are geared towards logistics, enable comprehensive consolidation and evaluation of all data. This means: MIXMOVE uses the data of your systems and supplements them with fine-granular information. Without cost-intensive or time-consuming adjustments to your IT landscape, companies achieve immediate success. Potentials are identified immediately and optimization measures based on data consolidation and data analysis are shown. Which partner can ship the fastest, which means of transport can achieve better utilization and much more.

(Source: Industry wired - Vivek Kumar)

Definition; big data in logistics

The term big data is used to describe large volumes of data originating from areas such as the internet, mobile communications, the financial industry, the energy sector, healthcare and transport. Furthermore, it can derive from sources such as intelligent agents, social media, credit and customer cards, smart metering systems, assistance devices, surveillance cameras, and aircraft and vehicles, which are stored, processed and analyzed using special solutions.

In logistics, a wide variety of data is generated in every sub-area. In addition, information comes from suppliers and logistics systems such as ERP systems, WMS or TMS systems. However, additional data can also be financial business forecasts, traffic and weather data or vehicle diagnostics.

Successes of big data in logistics

The use of big data in logistics can greatly increase efficiency, especially within distribution and logistics networks. Big data analytics can be used to share data between areas and companies in the supply chain, thereby improving the coordination of processes.

Bringing all data together not only enables companies to have more visibility, but also promotes decision-making efficiency in the event of disruptions and strengthens supply chain resilience. In addition, real-time data collaboration can help with dynamic route optimization, driver-centric solutions, and the estimated time of arrival for commercial vehicles to further increase efficiency and provide fleet managers with more flexibility and scalability. Further, the data can be used to better control customer demand trends when planning inventories and associated costs. With better insight, safety stock and inventory levels can be reduced and as a result, available space can be better utilized.

(Source: Supplychain news 24/7 - John Monarch)

Advantages with the use of the big data logistic platform MIXMOVE

  • Complete visibility of all operations in the logistics network. Shippers and 3PLs can monitor the movement off their goods and have a dashboard showing the progress and performance of operations.

  • Promptly manage unexpected events thanks to networked data.

  • Real-time tracking and management of all resources such as pallets, products, and containers in all types of logistics operations, including all relevant information about the final destination and the terms agreed between shipper and consignee.

  • Route optimization: each stop is automatically displayed on the driver's mobile screen, and the solution notifies him when a change is made to the planned route.

  • Reduction of logistics costs.

  • Effective use of all logistics resources.

  • Maximum warehouse throughput.

  • Maximum shipping speed.

Best practice of big data in logistics

More and more companies, such as 3M, Intercargo and DHL think outside of silos and connect all data in one intelligent system with MIXMOVE's big data solution. This is because MIXMOVE solves this problem without interfering with companies' existing system landscape. The successes from practice:

  • Immediately achieve maximum transport utilization and stop so-called "emergency hirings". Grow without the need for additional resources such as drivers or containers.

  • Control and manage products, packages, containers and drivers in real time and predict delivery times to the minute. Plus, you'll always know the most effective delivery alternative, even in the event of unexpected events.

  • Achieve maximum efficiency in sorting and consolidation processes and benefit from the traceability of all resources such as products and containers. You also know all data of incoming and outgoing goods at any time.

  • Based on existing resources and capacities, MIXMOVE enables volume-optimized loading of your means of transport, taking into account current customer orders and delivery promises.

With big data analytics, companies can solve far more complex problems than the cases in the past. By using and analyzing big data, simplifications in companies' distribution networks can generate savings of up to 50% in transportation and warehousing costs. However, it's not just companies that save money in the process. End customers also benefit from shorter delivery times due to better route optimization, lower shipping costs or special services.

Big data Tool: MIXMOVE LIGHTHOUSE Platform

MIXMOVE LIGHTHOUSE allows you to work with all logistics applications and partners in a single data-driven application. The platform enables teams to best manage, predict and analyze every logistical event at the product level, regardless of where it comes from. This opens up the dynamism and agility required for e-commerce flows. You achieve immediate results without costly or time-consuming adjustments to your IT landscape.

Explore the MIXMOVE platform here or request a free MIXMOVE demo here.

1,440 views0 comments
bottom of page