ATG Digital has partnered with transport management solution (TMS) provider Transnova to bridge a long-standing gap in logistics operations – the disconnect between planned schedules and real-world site activity. This initiative combines real-time access data with transport planning and execution intelligence to enable a more connected, responsive supply chain.

The integration enables verified access data captured at the point of entry – including truck registration, driver identity, and timestamps – to feed directly into Transnova’s platform. Within Transnova’s logistics control tower, this data is continuously reconciled against planned transport movements, enabling real-time alignment between plan and execution. This provides logistics teams with a single, accurate source of truth that reflects what actually occurred

on-site.

Traditionally, transport management systems rely on scheduled data such as expected arrival times and assigned drivers. However, changes on the ground – from delays to driver swaps – often result in discrepancies that impact both access control and operational efficiency. By integrating real-world execution data into transport planning, Transnova enables teams to identify, prioritise, and resolve these exceptions proactively, rather than reacting after the fact.

This integration addresses that challenge by intelligently linking real-world site activity with planned transport movements – without placing additional administrative burden on security teams or requiring drivers to provide extra information on arrival. The result is not just improved visibility, but a foundation for more proactive decision-making across transport and site operations.

By leveraging data already captured at the point of access, the solution enhances visibility across the supply chain while keeping site operations simple and efficient. Through Transnova’s platform, this visibility is translated into actionable insights that enable continuous optimisation of transport execution and site performance. There’s no need for additional check-in processes or specialised hardware, allowing sites to improve accuracy without slowing down throughput.

By introducing real-time, scan-based entry data into the process, ATG Digital and Transnova are enabling a unified, real-time view of logistics execution – supporting precise measurement of vehicle turnaround times, improved accountability across stakeholders, and more informed operational planning. At the same time, the integration reduces reliance on external tracking or telemetry solutions, while still delivering a comprehensive view of all site activity.

The integration allows clients to:

• Accurately track how long vehicles spend on-site
• Identify delays caused by missed or early time slots
• Optimise staffing, loading bays, and site capacity
• Improve coordination between logistics partners and site teams

One of the early implementations of this integration is within the Tiger Brands environment, where the shift from manual to automated data capture has significantly improved accuracy and visibility.

With verified entry and exit timestamps, Tiger Brands can now better understand site performance, manage capacity, and address inefficiencies – particularly where delays were previously difficult to validate.

This partnership reflects a broader industry shift towards data-driven logistics, where operational decisions are no longer based on assumptions, but on real, verifiable insights.

By connecting access control with transport management systems, ATG Digital and Transnova are not only improving efficiency – they are redefining how supply chains are managed by enabling a new standard for integrated, real-time supply chain execution.

– ENDS –

Image Caption: ATG Digital and Transnova integrate real-time data to improve logistics visibility and responsiveness.

Written by ATG Digital and Transnova.
Editorial Contact: Ariel Flax 079 378 9483.
Distributed by Deescribe communication on behalf of ATG Digital

Technology is continuing to revolutionise industries and the maritime freight industry, one of the popular forms of freight transportation in South Africa, isn’t an exception. The industry is on the brink of another transformation with the potential of integrating artificial intelligence (AI) into the industry.

AI promises to bring some exciting new benefits to the harbour, although we shouldn’t expect the implementation of AI to be smooth sailing, as it comes with its challenges as well.

Table of Contents

In this article, we’ll be exploring:

• The benefits of AI in the Maritime Freight Industry
• The challenges of AI in the Maritime Freight Industry

Let’s set sail.

The Benefits of AI in the Maritime Freight Industry

There are many reasons why people are so excited about AI joining the maritime freight industry at the shore. Below is a list of the most significant.

1. Enhanced Operational Efficiency

The maritime freight industry can get very complicated given that there are so many moving parts. Any opportunity where technology can help simplify the process is welcome, and AI could do just that.

One great example of this is predictive analytics. This allows shipping companies to optimise routes and fuel consumption based on issues like bad weather in real-time. This reduces cost and minimises the overall environmental impact of the industry.

2. Improved Safety

Concerning maritime freight transportation, safety is of utmost importance. Artificial intelligence has the ability to identify potential safety hazards in real time. Hazards such as weather anomalies can be detected, enabling swift responses and reducing the likelihood of accidents at sea.

3. Enhanced Cargo Tracking

With the help of AI, real-time visibility into cargo shipments is possible. You, as a customer, will be able to monitor the status and location of their goods from the harbour right to your doorstep. You’ll know exactly where your product is at all times.

The Challenges of AI in the Maritime Freight Industry

Nothing’s perfect, and the maritime freight industry is no exception. It comes with its fair share of challenges, some of which are listed below.

1. High Initial Investment

A huge issue with implementing technology into the maritime industry is the hefty upfront costs. Smaller organisations may get discouraged because of this, although the implementation of AI may be more cost-effective over the long term.

2. Data Quality and Security

Artificial intelligence relies heavily, if not entirely on data. Making sure that the data is accurate, secure and private is a constant challenge organisations have to deal with. Any data breach can result in severe consequences for both organisations and individuals.

3. Workforce Adaptation

One of the biggest concerns with regard to the integration of AI is how employees would have to adapt. Organisations will have to train their employees to use their newly integrated AI systems which my add more to the initial cost of the implementation. Employees may also resist the change from the traditional system, a system that they’re very familiar with.

Final Thoughts

AI is in a position to completely change the maritime freight industry. Let’s not forget about the challenges we’ll need to overcome to successfully make that happen. Getting excited over benefits such as enhanced operational efficiency is great, but finding ways we could mitigate the challenges as well is equally important. If we can do that, we’re on our way to a more safe and efficient maritime freight industry.

With the rise of e-commerce, the air freight industry, one of the popular forms of freight transportation, was forced to become more efficient in its operations. Air freight transportation has had to undergo major technological changes in order to keep up with demand while also ensuring that everyone involved is safe.

A new technology, that goes by the name of artificial intelligence (AI), is being explored in order to improve the overall efficiency of the air freight industry.

Table of Contents

In this article, we’ll be exploring:

• The benefits of AI in the air freight industry
• The challenges of AI in the air freight industry

The Benefits of AI in the Air Freight Industry

We are quite familiar with many of the benefits of air freight transportation as a whole, but what would happen if we introduced AI into the air freight industry?

1. Enhanced Efficiency

A major benefit of the air freight industry as a whole is its ability to be efficient over long or medium-distanced trips. Enhancing that with artificial intelligence (AI) would make lives much easier.

Given that AI can optimise routing, scheduling, and resource allocation, streamlined processes could be the result. Scheduling flights based on factors such as weather, air traffic and fuel efficiency, reducing delays and downtime for the organisations involved.

2. Improved Predictive Analytics

Artificial intelligence absolutely loves data. It has the ability to look back to past events and predict the likelihood of the same result occurring again. Airlines and logistics companies can better plan for the future on how they’re going to allocate resources, which reduces the risk of wasting resources.

3. Enhanced Cargo Security

Efficiency is great but is nothing without security. With the help of AI, screening cargo can be much easier and more efficient. They can also view them in real time so that they can detect any irregularities with cargo after the initial check, which ensures the safety of the supply chain.

4. Cost Reduction

Cost is always an issue in the air freight industry, so reducing operational costs with the help of AI would be a welcome benefit. AI is very good at doing boring and repetitive things like data entry and processing documents. You don’t need to worry about human error anymore and humans can focus more on complex and creative problems.

The Challenges of AI in the Air Freight Industry

The benefits are exciting, but that doesn’t mean there are no challenges to be overcome, as the list below will indicate to you.

1. Data Security and Privacy Concerns

Artificial intelligence relies heavily on data, making data security a huge priority in the air freight industry. Given that the data is collected digitally, it makes private information vulnerable to cyberattacks. Creating a security system that is robust against cyberattacks will be a continuous challenge.

2. Workforce Transition

With AI integrating into the air freight industry, concerns about job displacement will arise. People will be forced to upskill, and companies will be responsible for training employees for other positions within the company or training them to effectively use AI tools.

3. Implementation Costs

Implementing anything tends to cost money and regarding the integration of AI into the air freight industry, it can get quite expensive. Particularly for the initial costs such as the infrastructure and training of the people who’d be operating the systems. Smaller companies may shy away from AI integration because of the upfront costs.

Final Thoughts

The integration of AI into the air freight industry shows immense promise for individuals who enjoy shopping online and for companies that are looking to increase the overall efficiency of their operations. It’s important to take into account the challenges that will come with the introduction of AI. The future looks bright for the air freight industry if we can manage to keep the challenges to a minimum.