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Predictive data analysis How to reduce transportation costs in the business?

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Discover actionable strategies for cutting transportation costs through predictive data analysis. Optimize logistics, boost efficiency, and save money!

Whether it's forecasting tomorrow's sales or identifying which branches or distribution centers have the highest demand at what time. Predictive data analysis helps businesses make informed decisions. 

This Cartrack article now comes to understand how predictive data analytics works. How to enhance the supply chain and fleet operations, and how can businesses use this tool in their own business to increase benefits?

What are the types of data analytics?

Data analysis is available to identify situational trends. See insights and answer questions from the analytical data we have at hand. Data analysis can also be divided into several types. Here we summarize all 4 types.

Narrative analysis: what happened in the past?

Let's say you want to look at the performance of drivers in the company over the past 3 months.

In this case, you can view driver's work data or detailed sales.

Diagnostic analysis: why do these events occur?

What causes used vehicles to wear out ahead of time? After a descriptive analysis to obtain trend data related to vehicle degeneration. Diagnostic analytics is the next step in explaining why these trends are occurring.

For example, insights say that sudden braking is the reason why tires wear prematurely. By knowing this information, businesses can actually fix the problem and save money for early tire replacement.

Introductory analytics: So what's next?

If you don't want to sit around and wonder how much budget you should set for managing your car in the company. Prescriptive analytics is a tool that solves this problem for you.

Recommendative analytics focuses on providing guidance on what to do next. One, two, three, based on historical data and trends.

For example, setting a budget for the following year, or the price of the next product that will generate the desired profit. This type of analysis often relies on machine learning (ML) to analyze big data to provide factually weighted recommendations.

Predictive analysis: what may happen in the future?

Businesses with transportation work hope that the delivery truck will be used in the most cost-effective manner and with the least damage. Predictive analytics allows you to predict future events. 

For example, what can result in a car not running? So you can think of ways to avoid this happening or the order volume will increase. If so, should you be more prepared, such as adding a car? Add drivers, adjust the way they work, etc.

Predictive analysis: what may happen in the future?

How can predictive analytics improve the performance of logistics networks?

First of all, I would like to introduce the term logistics network as Supply Chain, which has a Thai name for supply chain or supply chain, but most people tend to use the term Supply Chain or logistics altogether. Replace Thai words

Supply chain is the collaboration of agencies, people, technology, activities, information, and resources to move goods or services from suppliers to customers.

The activities of a logistics network transform resources or raw materials into finished goods and pass them on to the last customer or consumer, also known as the end customer/user.

Let's return to using predictive analytics to improve efficiency from workflows to supply chain results, such as:

  • Managing congestion points in the transportation system that affect time, labor, or even work safety, collectively known as efficiency.
  • Analyze customer service and satisfaction From customer interaction data that shows how customers feel about the service, especially where customers are dissatisfied, the business will be able to fix it at the right point.
  • Know the level of demand in each location, help the business manage the car to that location correctly, allocate resources as efficiently as possible. No more or less.

Behind the success of predictive analytics What are the steps?

Data management from input to output for use takes place in a matter of seconds. However, predictive data analysis consists of three steps:

1. Data Keeping

The more data the system holds, the better. The more useful the processor, the better.

2. Forwarding

After the data is stored. The data is forwarded with software systems for analysis, to classify the data and its intended use.

3. Processing and analysis

When data is ready to use, it is processed with determinants as results with predictive feedback that users can use to make practical decisions.

Behind the success of predictive analytics What are the steps?

If the logistics business does not use predictive analysis, what will it miss?

1. Failure to reduce overhead costs

REDUCING COSTS IS KEY TO INCREASING THE CAPITAL GAINS (ROI) OF A BUSINESS. BUSINESSES WILL MISS OUT ON OPPORTUNITIES TO INCREASE REVENUE FROM LESS RISKY WORK. COMPARED TO INCREASING THE PRICE OF PRODUCTS, THAT CAN AFFECT MANY PARTIES.

2. Failing to know customer needs

Businesses don't know what their customers really want, when, or where, and the investment isn't worth it. Wasteful use of costs

3. Missing out on setting the most reasonable or profitable selling price

Although increasing the price of goods or services is not something that businesses want to do. Rising prices may not affect the business, but it is also an opportunity to increase the profitability of the business.

But how do we know that opportunity has come our way? If we don't have predictive analytics with our business before. No detailed data has been collected for analysis. 

This kind of mistake is one of the most likely mistakes businesses don't want to make.

4. Missing out on smart resource management

In the logistics or transportation business. Resource management is very important to affect costs. 

Predictive analytics help businesses know the level of resources they are likely to need in each area, helping them make informed and informed decisions that best fit their realities.

5. Miss out on increasing the volume of each customer's purchase

Businesses that have the right customer trading information in their hands. It will be able to accurately predict what the customer wants and how much, or what the customer does not want. This makes it possible to suggest what they think customers want or should need. 

All of which stems from the reliable database that they have, together with the analysis of data results from what is called predictive analysis. 

If there is no predictive analysis Businesses will not be able to accurately recommend the products or services that customers want, or annoy customers with inappropriate advice, becoming detrimental to the business instead.

If the logistics business does not use predictive analysis, what will it miss?

A car tracking system that provides predictive analysis to all vehicles in your business.

No matter what industry your business is in. Predictive analysis helps plan and make decisive and quick decisions. With reliable insights and updates based on actual status.

Cartrack, a telematics fleet tracking and management system that delivers insights, analytics, predictively, drives business with data.

Smart cost reduction: Identify why and how your business is overspending, with MiFleet, upfront cost analysis software, reduces costs, reduces operating costs, and identifies profit leakage points. 

Maintain product quality: Optional Cartrack feature tracks temperature in real time. Instant temperature fluctuation alert 

Let you know immediately in case the frozen goods may not meet the temperature standards of the industry. It allows you to make proactive decisions in a timely manner and maintain customer satisfaction.

Elevate Maintenance Planning: Smart Vehicle Monitoring Technology Transforming Maintenance Planning Reduce sudden breakdowns that lead to lack of opportunities and improve operations with scheduled preventive maintenance. 

In addition, intelligent solutions provide real-time alerts for oil and water levels. Engine integrity and many other engine diagnostics all add to the vehicle's lifespan excellently.

See immediately, timely warning, higher safety: With live camera technology, AI system effectively monitors various situations. Advanced driving behavior capture mode and real-time voice driver alert. 

Correct risky behaviors and reduce or stop driving problems in a timely manner. Take care of your car and cargo more clearly.

Contact Cartrack Now for your business

Ask for vehicle tracking and management systems that match your business usage, or request a quote. Click here to fill in the information for our staff to contact you back as soon as possible. 

Or call 021362920 or 021362921 Monday to Friday office hours for a one-on-one consultation free of charge.

Predictive analysis is a tool used to improve operations. It's easier to understand what's happening in your business.