The most important thing in logistics is getting things there on time. But the complicated supply chain network, changes in demand, and unplanned events can all make processes less smooth. Is there a solution like modern transport software solutions that improves overall performance? Think about adding business intelligence to your logistics.
What does business intelligence mean for logistics?
Every day, logistics companies create huge amounts of useful data. Some examples of data points are the amount of inventory on hand, the routes for transportation, the size of the warehouse, and the delivery schedule.
Keeping track of everything can be too much. But even missing the smallest detail can have an effect on the whole supply chain.
Business intelligence does the hard work of gathering, processing, and making sense of huge amounts of unstructured data. It then displays this information in easy-to-understand dashboards and reports.
Logistics companies can make smart choice and managing procurement improve their processes, and even plan for possible problems in the supply chain thanks to the information that BI software gives them.
BI platforms are very adaptable and can show any kind of data. For instance, if logistics managers want to be ready for problems with warehousing, they can change dashboards to keep an eye on important KPIs like:
- The build optimal routes rates at which inventory turns over
- Times for fulfilling orders
- How accurate the picking is
- Use of storage
- Microsoft Power BI is the source of the screenshot.
Teams can quickly find and fix problems that cause delays and disruptions in the supply chain by looking closely at important metrics.
Why should logistics companies put money into BI?
Data that doesn’t mean anything is not very useful. Business intelligence makes good use of all the logistics data that is created every day.
It changes how the supply chain works and helps service providers find ways to grow, cut costs, and find problems.
Let’s take a closer look at all the benefits of using business intelligence tools in logistics.
Insights in real time
Stop dealing with spreadsheets that never end and reports that take days to get. Logistics companies can see everything going on in their business in real time with BI systems. These platforms gather data from many sources and put it all in one place.
So, no data is lost. Also, modern BI tools use AI, which lets you get insights, reports, and forecasts in almost real time. Managers are always up to date and can make better decisions right away because they can access any data they need.
Quick workflows
One of the best things about outsourced IT professionals business intelligence in logistics is that it makes operations run more smoothly. Managers can figure out what’s working and what’s not by doing thorough and efficient data analysis. This lets them focus on practices that make money.
A lot of BI tools say they have self-service analytics. Users who aren’t tech-savvy can easily look at and analyze data without needing to hire outside IT experts. The result is that decisions are made more quickly and easily.
Predictions that are reliable
The logistics industry is always changing and moving quickly.
Predictive analytics makes it easier to make accurate predictions. BI systems look at past data to find patterns and trends. They help logistics companies guess how much demand there will be, keep inventory levels in check, and even spot problems in supply chains before they happen.
How can logistics teams use BI in their daily work?
There is no doubt that anticipate warehouse challenges using BI in logistics has many benefits. Now, let’s look at some useful ways to use business intelligence in your daily life.
Make the best use of transportation and route planning
Delivery routes that are well-planned save money on transportation and make customers happier. BI tools look through lots of data from different sources, like GPS, fleet management systems, traffic monitoring services, fuel consumption records, and customer feedback, and come up with useful insights about:
- Make the best routes to cut down on delays and fuel use.
- Plan deliveries for the times that work best for your customers.
- Predict the distance and road conditions
- Change your ETAs based on real-time traffic updates and the weather.
- Set up checks on your car and regular maintenance to keep it from breaking down.
- Take care of your stock
- Stockouts and overstocking can both hurt a company’s bottom line. So, to keep the right balance in supply chain management, it’s important to keep a close eye on inventory levels.
BI tools make it easy for logistics managers to keep track of the products they have, use past sales data to predict future demand, and change the amount of stock they have when they need to. With this oversight, you can better manage your supplies and waste less.
Cut down on mistakes in the warehouse
How can you best set up your warehouses? How can you make picking and packing easier and use workers more effectively? BI systems look at a lot of different metrics, such as order accuracy, inventory turnover rate, fulfillment time, and employee performance, to find trends and show where things could be better.
For instance, a BI tool can show that some products are often bought together. You can change the layout by putting these things together based on this information.
Make it easier to find suppliers
It can be hard to manage procurement and supplier relationships and make smart choices, especially if you work with a lot of vendors. BI platforms combine and analyze a lot of supply chain data with a lot of accuracy.
For instance, if a supplier is always late or charges more than they should, a BI system might point this out and encourage you to renegotiate the terms or look for other suppliers.
Find ways to save money
Logistics companies often have a hard time guessing how much things will cost in the end because of things like changing fuel prices, demand changes, and changes in shipping routes. In this case, using business intelligence is the best thing to do.
Carriers can use BI tools to keep an eye on and analyze changes in freight costs over time and make decisions based on that information. For instance, looking at past data might show that using a mix of road and rail transport instead of just trucks is cheaper for some routes.
With BI, logistics managers can also find the cheapest shipping options by comparing costs between different carriers and making the most of their shipping budget.
Examples from the real world of using BI in logistics
More businesses are putting money into data analytics tools to change how they do things as business intelligence becomes more popular.
Amazon
The eCommerce giant’s huge logistics network and supply chain depend heavily on BI tools. Amazon Redshift lets the company process huge amounts of data from customer orders, inventory levels, and shipping routes in real time.
Amazon uses this useful information to make smart choices about where to keep products, how to make delivery routes more efficient, and how to manage inventory well enough to meet customer demand.
Amazon uses predictive analytics to figure out which products will sell best in different areas. It looks at past data and how customers act to find patterns and trends, and then it stocks up on things that are in high demand. This proactive approach makes customers happier and lowers the risk of losing money.
Yamato Logistics (HK) is a well-known logistics company in the Asia-Pacific region that is part of the Yamato Group. It specializes in eCommerce, electronics components, and cold chain management. Its main services are international freight forwarding, door-to-door delivery, and moving people and things both within and outside the country.
The company quickly realized that its on-premise servers couldn’t handle the extra work when it got a lot of data, which slowed things down and hurt the quality and speed of service.
To fix this problem, Yamato Logistics (HK) chose to move to AWS (Amazon Web Services) Cloud and use Amazon Athena and Amazon QuickSight BI solutions to get a better picture of how their business is running.
Now, the company’s data is easier to find, more organized, and more open. Better data visibility makes it easier to get useful information and run your business more smoothly.
Also, having a lot of data available lets Yamato Logistics (HK) better predict future demand and plan how to use its resources (trucks, containers, and workers) accordingly.
NYSHEX
New York Shipping Exchange is a cloud-based service that makes it easier for carriers, shippers, and forwarders to book and manage shipments. Before, the company had trouble figuring out how well it was doing overall. Data was spread out across different systems, such as a proprietary tool and a number of cloud apps.
NYSHEX would get information from different data sources by hand and put it into Excel spreadsheets. It took a long time, and very few people could understand the data. The engineering team was in charge of making most of the reports.
The company got rid of data silos when it put BI into action. NYSEHX put all of its data into one easy-to-use platform, which gave employees from different departments the power to do in-depth analysis even if they didn’t know how to code.
The company saw a big improvement in its operations thanks to BI and other strategic projects. In fact, in 2019, it shipped more than three times as much between Asia and the US.
UPS
UPS (United Parcel Service), one of the best delivery services in the world, completely changed how it delivers packages. The company made its own software called the ORION (On-Road Integrated Optimization and Navigation) system.
Orion is a great example of how business intelligence works. The platform can do everything from planning routes to looking at delivery patterns and making predictions about them. Its powerful processing lets it solve hard problems in just a few milliseconds.
The Orion system uses cutting-edge technology to speed up and smooth out deliveries. The platform has the following features:
- Computing in parallel
- Difficult geospatial algorithms
- Advanced models for scheduling
- Algorithms for constraints
- A routing engine that is one of a kind
Adding ORION to the UPS infrastructure made operations more efficient by cutting delivery miles by about 100 million, saving millions of gallons of fuel each year, and thus stopping carbon emissions.
The Maersk Line
The shipping giant owns 14.6% of the world’s liner fleet and uses data and predictive analytics to keep up with changes in the industry. To make its supply chain operations more visible and predictable, Maersk relies on automation, IoT technology, and business intelligence solutions.
These tools help the business find ships that aren’t being used enough and move empty containers around more quickly. The data-driven approach saves Maersk millions of dollars and makes the company work better as a whole.
Conclusion
The logistics industry needs business intelligence solutions. These tools help businesses understand the complex patterns and trends in their supply chain operations by analyzing data from many sources. This lets them make smart choices that cut costs and speed up processes.
