AI Solutions for Logistics

AI and Machine Learning in logistics, supply chains, and – in general, transport, support process optimization, and risk management to improve workflows. 

By taking into account all possible disruptions, unpredicted events, and historical and real-time data, AI solutions can detect patterns and – based on that – suggest what decisions should be taken to avoid delays, speed up deliveries, reduce costs, route optimization, and increase the efficiency at resource management. 

Route optimization

As they constantly analyze vast amounts of data, AI and machine learning models provide the capabilities to plan transportation with certainty that deliveries always will be on time at the lowest possible cost and carbon footprint.

Predictive analytics

AI and machine learning models allow logistic companies to use historical and real-time data to employ predictive analytics and identify unpredicted disruptions. Artificial intelligence and machine learning can monitor and predict traffic and peak hours in logistics centers and avoid them.

Visual inspection

Visual inspection backed by Artificial Intelligence speeds up and increases the efficiency of quality process controls at warehouses or trucks.

Business benefits


Reduces operating costs

Implementing AI-driven solutions enables logistics companies to activities that will save their time and money.

With AI many daily processes can be automated and handled without human input, which also leads to significant efficiency improvement in processes such as customer service, warehouse workflows, scheduling tasks, and so on.

Reducing Risks and Safety Improvement

AI, with its predictive abilities, mitigates operational risks by detecting potential delays and disruptions before they happen.

It can predict the upcoming demand of products, increase transparency and efficiency of the whole supply chain, and – in case of any unexpected events – influence smart and quick decision-making.

Improving Customer Service

AI significantly improves customer services when it comes to direct contact with clients and general credibility. With AI-driven solutions such as chatbots or conversational tools, customer services can be personalized and instant, and – by reducing operational risk – the shipping is always on time.

All of that leads to increased customer satisfaction and thereby to increasing customer retention.


Reducing Manual Labor
Data Usage

Improve general performance with AI

Digesting the vast amount of data in logistics-related sectors is a huge challenge and – at the same time – a burning need leading to improve general performance.

Logistic companies are constantly looking for a way to replace or reduce human input in their daily processes, reducing the number of errors and speeding up the whole workflow.

With AI onboard, it is doable as Machine learning algorithms automate routine tasks, freeing the employees to handle and supervise the entire process.

Use your data effectively

Supply chain, logistic, and transport companies’ pain point is effective usage of the variety of data coming from multiple sources in real-time. Even though, they are able to collect them, transforming them into meaningful business insights is difficult and requires high-end AI solutions.

With AI data can be fully embraced, understood, and interpret for the sake of operational performance.


Demand Forecasting
Automated Supply Chain Planning
Autonomous or semi-autonomous vehicles
Track and Warehouse Management

AI enables companies to use real-time data in their forecasting activities

It significantly reduce error rates compared to traditional forecasting methods. With improved accuracy in demand prediction, organizations can optimize the usage of vehicles, and warehouse storage, to reduce operational costs while keeping up with their client’s demands.

Keep the right balance of demand and supply

By analyzing a vast amount of data sets and applying the suggested recommendations in real-time, companies gain capabilities to keep the right balance of demand and supply with a relatively low risk of errors occurring.

By its predefined automatization, AI supports the decision-making process by reducing the number of human inputs. Manual intervention is reduced to a supervisory role and setting up the proper output parameters.

Computer vision is a game-changer in transport-related industries

Computer Vision – the area of Machine Learning responsible for teaching computers how to properly understand the images visible in the real world – is considered a massive game-changer in transport-related industries.

With the use of technologies able to correctly interpret a vehicle’s environment, including traffic signals and laws, interpreting road signs and detecting potential dangers, and so on, AI can significantly improve human driving capabilities.

Computer Vision and Image Recognition techniques can be successfully harnessed also into warehouse management processes

With computer vision solutions, barcodes can be read automatically, stock locations detect in real-time, and crew schedules are always set up properly.

It is also easier to prevent thefts and safety violations with Computer Vision solutions.

Customer stories

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