Industry expertise
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.
Business benefits
Benefits
Challenges
Challenges
- 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.
Solutions
Solutions
- 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.
Let's discuss
a solution
for you
Edwin Lisowski
will help you estimate
your project.
- hi@addepto.com