• 29-04-2022

Benefits of Artificial Intelligence in Logistics

AI is qualified of analyzing and connecting data in an attempt to make the way a human thinks and acts. AI is capable to enhance its predictions and performance by using Machine Learning and Deep Learning techniques.

AI can;

Enhance living RPA by automating tasks that were not formerly automated.

Aid humans in their decision-making.

The use of Artificial Intelligence technology can optimize the whole logistics industry.

We’re going to discuss the benefits of AI in logistics. when it comes to AI, it can be useful to look above the benefits and try to get a feel of what’s going on under the hood. After all, you don’t want to be totally reliant on a black box that doesn’t give you an insight into how you’re considered to get the benefits you’re looking for. Instead, you want a sense of what tactical and strategic changes these technologies are going to power within your current value chain.

Ordering selection mechanization

To promote the work of order choosers and even to totally automate it, Artificial Intelligence allows huge time savings and productivity improvements. Based on the orders, a swarm of robots moves in the racks to collect the goods and forward them to the operator. The AI guides the robots and optimizes their movements in the warehouse.

  • Improved picking productivity
  • Improved picking time
  • Improved OPEX picking cost
  • Lower error rate
  • Improved working conditions for operators

Improved Transportation Forecasting

One of the technologies that we find most exciting right now is transportation forecasting. By managing huge caches of market data from every possible touchpoint on the value chain (a feat that becomes easier and easier to accomplish the more you focus on supply chain integration), you can get proactive about reserving capacity at a reasonable price. In traditional transportation planning workflows, you only have a window of a few days after an order is initiated to locate the correct transportation options. With an AI-powered solution, we can reserve some capacity before customer orders have even come in.

Improving Data Quality

Capacities in AI, such as Natural Language Processing (NLP) and Machine Learning (ML), help accurately acquire and manage knowledge that pours into logistics companies at unconquerable volumes every day. Better, faster global connections allow AI to be more accurate than ever before, and when applied to logistics, it will enable optimal data usage within shipping. Avoiding risks and creating more efficient solutions, AI maximizes resources and slashes costs. With synergy between man and machine. Enriched data can help tell a company where they need the exact amount of people and assets when they need them.

Parcel sorting automation

Parcel flows, particularly with the promotion of e-commerce, are rising and need optimized systems. AI is once again a valuable tool in the automation of this step of the Supply Chain. Based on a predefined sorting system, the robots automatically deliver the parcels to their terminus area. The robots move on their own, quickly. Optical recognition allows for fast label scanning to identify products and their characteristics.

  • Better sorting productivity
  • Lower OPEX cost compared to human sorting
  • Lower error rate
  • Improved employee efficiency

Transportation visibility

Tracking the flow of goods is crucial for logistics professionals who are in charge of the right delivery to the client. As clients are increasingly demanding, they demand more clearness on their outcome delivery. This visibility is also beneficial for logistics operators who can react in case of delays and unexpected events and proactively inform the customer.