Artificial Intelligence in logistics

LOGISTICS 5.0

At Smartlog Group we opt for solutions based on artificial intelligence (AI), to help take better-informed decisions thanks to the exploitation and analysis of large amounts of data

Thanks to AI, we make our solutions more adaptable to change, so helping companies to stay competitive in a changing environment. AI opens up the possibility for us to anticipate, propose improvements, schedule maintenance, recommend new configurations and predict new scenarios.

Our artificial intelligence solutions for intralogistics

What is the best option for your company?

Smartlog’s focus is on autonomous mobile robotics.

Our portfolio includes different handling, configuration and loading options. Our goal is to offer the option that best suits your needs and requirements.

Smartlog solutions in logistics 5.0

The advantages of implementing AI in logistics

Artificial intelligence is revolutionising the intralogistics industry, with the potential to transform it significantly. AI can be used to achieve a series of benefits:

⚡ Improving efficiency

🍃 Improving sustainability

✅ Increasing customer satisfaction in logistics in several ways

⭐ Ability to solve more problems thanks to the incorporation of more features and data to cope with logistics challenges

Discover all our innovative intralogistics solutions to take your company's logistics operations to the next level.

Tell us about your next challenge!

Inteligencia artificial en intralogística - Smartlog Group

Applications of AI in logistics

One of the main applications of AI in logistics is to optimise planning and execution of operations.

AI can also be used to predict demand, prevent errors and manage inventory. This can help companies to cut costs, improve customer service and reduce environmental impact.

For example, artificial intelligence can be used to predict demand for products according to factors such as:

  • Historical sales trends
  • Current events
  • Customer behaviour

This can help companies to plan their inventories better and avoid having too much or too little stock.

This is even more important in an environment where speed and the variety of products available are both increasing with growth in the digital environment.

AI-based solutions can also, by learning from past errors and small indicators that allow variables to be related, prevent errors and warn in advance about possible errors or small breakages in the system, so that they can be dealt with in time, before anything goes wrong.

AI can be used to manage inventory more efficiently to help companies to cut storage costs and improve availability of products.

For example, to determine the ideal location of products in the warehouse, taking into account factors like size, weight and product rotation.

Another important application of AI in logistics is the automation of tasks.

It can be used to automate tasks including:

  • Picking
  • Packing
  • Despatch

Automating these tasks under the control of artificial intelligence can help companies to boost their productivity and cut labour costs.

Artificial intelligence-based solutions are also used to improve safety in logistics:

  • Detecting risks
  • Preventing accidents
  • Ensuring employees’ safety

It is also used to develop security systems to detect hazardous objects or people in the work environment. Solutions of this kind can help companies to avoid accidents and injuries.

Other applications of artificial intelligence in warehouses

AI has the potential to revolutionise logistics and efficient warehouse management. Companies that adopt AI can boost their efficiency, sustainability and customer satisfaction.

Implementing advanced solutions in business logistics allows:

  • Optimisation of routes in real time, cutting costs and reducing your carbon footprint.
  • Incorporating autonomous vehicles and robots in processes like picking and packing, speeding up operations and reducing waiting times.
  • Increasing accuracy in sorting and monitoring of products.
  • Improving inventory management and minimising unplanned idle times by using predictive analysis and deep learning in equipment maintenance and prediction of demand.

At Smartlog we implement these technological innovations in our intralogistics solutions so that our clients can benefit from more agile, sustainable logistics.

Inteligencia artificial en intralogística - Smartlog Group

Contact our experts to request personalized consultation on your warehouse

Implementation of AI-based solutions: Success stories

Logotipo TAMER

Tamer Group

Saudi Arabia

Sector: Healthcare, consumer goods, logistics and e-commerce

Logotipo Contrans

Contrans

Peru

Sector: Logistics

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