Industries:
Smart Logistics
Important and emerging trends & innovations like Internet Of Things, Artificial Intelligence, Warehouse Automation, Robotics, and Data analytics require companies in the logistics industry to embrace data more than ever.
If you work in transport, internal logistics, warehousing, fulfillment, or across the entire supply chain., you probably already know this.
To successfully apply the new developments in your industry to your organization, you probably have to overcome several challenges.
Discover how our 1OPTIC data platform can help your company to overcome these challenges.
Trends in Smart Logistics
Data Analytics for logistics
Data Analytics for logistics has a variety of examples. The main goal is to get actionable insights from not only your own but also third-party data. It increases warehouse productivity, utilizes logistical resources better, and improves performance management.
Topics like anomaly detection or predictive maintenance are becoming increasingly important. By using 1OPTIC, you have the perfect set-up available to detect anomalies and start with predictive maintenance.
Warehouse automation
Many labor-intensive and repetitive tasks in a warehouse can be automated with minimal human intervention required. Warehouse productivity increases by integrating technologies like automated guided vehicles, automated storage and retrieval, and robotic picking. By connecting these technologies successfully with the network, the warehouse automation process can be done smoothly.
Efficient integration of the network involved in the automation process requires a reliable, safe, and high-performance data platform. Preferably one that combines the data regardless of technologies, protocols, file extensions, or vendors. This allows maximum visibility and transition by having a single pane of glass.
IoT networks
With Internet of Things networks, physical devices are capable to monitor and transfer data by using the internet. The main advantage is it is without human intervention. In the logistics industry, it mainly allows organizations to create or increase the visibility of the whole supply chain. It can also be employed to make inventory management more efficient.
This provides transparency, yet is challenged by limitations like real-time (IoT) network insights. IoT networks have to be efficient enough to cope with current (customer) demand.
Artificial Intelligence in logistics
By employing AI algorithms or Machine Learning models, organizations in the logistics industry can advance on the data maturity model. From demand forecasting, self-driving AI or automation of administrative tasks – AI can deliver tons of value to any organization in the industry.
To successfully employ AI and Machine Learning projects, the foundation of your data should be rock solid. It starts with deciding whether your organization needs AI at all.
After that, create a relevant AI strategy. One should not forget to look at the current state of AI readiness. Do you possess all the required data to execute the strategy? Are you able to process all the data? Is it done fast enough? Are all other requirements met? Perhaps there are remaining obstacles like vendor lock-in. In many cases, having a high-performance data platform as the foundation for your AI strategy and implementation is a must. Discover how 1OPTIC can help you with the foundation of your AI strategy!
Challenges
Integrating existing software and data sources
Your software for Enterprise Resource Planning (ERP), Warehouse Management Systems (WMS), or Transport Management Systems (TMS) is presumably the largest supplier of all your data.
Chances are you even have several such systems in use. Consolidation of data is important to achieve a single pane of glass and strive for a single source of truth.
Determining your current state of data maturity, including AI
Many frameworks exist to assess your current level of data maturity. We tend to use Gartner’s framework.
Find your current data maturity level and list what it takes to achieve the desired maturity level. Also, think about what resources or software you require to attain the next level.
Things to consider;
- Do our existing (software) systems scale with our growth?
- Are the systems providing the solid foundation required to advance to the next level?
Many variables can influence the successful determination of the current data maturity level. It is not always an easy task but be assured that we do have the required knowledge to help you determine your level – and how to advance!
Implementing your data strategy
Perhaps you are also thinking about data collection and analysis from other sources. Think of cars, internal transport equipment, time registration tools, barriers, surveillance cameras, or other third-party data.
You can often use the data to advance on the data maturity level. It depends on what strategic goals you have in mind and what is required to achieve the desired goal.
Ask the following questions to get started;
- Are we aware of our data strategy goals? Have they been set?
- Is other data available to help us achieve our goals?
- Do we know how to unlock the data required to execute our strategy?
- Do we have a data platform that is massively scalable and provides high-performance?
- Does our existing software allow us to extract data from each source?
If you cannot successfully answer the previous questions, chances are high that you might not have a solid foundation to execute your strategy.
Start with mastering the first steps of the data maturity model, then advance to the higher levels. If you need help do not hesitate to contact us.
The solution
Overcome your data-related challenges and (future) developments with 1OPTIC
While every problem requires a different approach, you can start with the basics. If you want detailed information on how to tackle these problems feel free to contact one of our experts.
Start by integrating existing software and data sources into an open ecosystem. Allow any vendor to integrate into your data processes. Consolidate your data to get a single pane of glass.
Stop bothering with inflexible software suppliers, legacy software applications, or scalability issues. Start focusing on determining your current state of data maturity so you can swiftly execute the required steps to advance on the data maturity level. Beat your competitors before they beat you!
Worry less about obstacles to implementing your data strategy. Time is of the essence in logistics so avoid wasting it.
Get started and master the data maturity journey of your organization. Leverage our game-changing platform and focus on your core business. With 1OPTIC, we grow with you!
See it for yourself
Let us know the challenge(s) that your company is facing and see how we can help you overcome them.