Warehouse automation(ai )

Warehouse System
Logistics and transportation is a critical process. We are continually thinking about how to save time and cost. We have established a well-organized warehouse that is continually developing methods of increased efficiency, when it comes to stocking, distribution, sorting, packaging, etc. In the past 2 years, we have grown from a small storehouse to a warehouse of over 5,000 square ft.
Transportation
In terms of transportation, we coordinate with companies so that we can always have a plane or truck on standby for us. BlackTree has shipped to more than 4 countries around the world, including the United States, Russia, China, and the India.
Surprise
We understand that waiting for express delivery can a difficult but surprising process. We hope to exceed your expectations when it comes to transporting your goods.
Vission
Warehouse with Artificial Intelligence.

What is Artificial Intelligence?

Artificial Intelligence (AI) is a branch of computer science that aims to make machines that can mimic the functions and reactions of a human as closely as possible. It can perform human-like tasks such as decision-making, speech recognition, visual perception, and language translation.

Andrew Ng, founder and lead of the Google Brain project and several AI startups, gives a good explanation of the general idea of present AI capability:

 

“If a typical person can do a mental task with less than one second of thought, we can probably automate it using AI either now or in the near future.”
 
 
 
What Machine Learning Can Do
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By understanding what AI can and cannot do, you will be able to incorporate it into your strategies. Then, it is a matter of hiring the right talent to customize your business environment and data to automate your operations and have important insights at your fingertips.

 

The Value of Artificial Intelligence in the Warehouse

Artificial Intelligence generates value in the warehouse through various sub-technologies: machine learning, natural language processing, robotics, and computer vision. Here’s how each function.

Machine learning uses algorithms to “learn from experience” and make practical decisions for the warehouse. Using data gathered from sensors, it notices patterns and suggests actions such as faster replenishment of nearly out-of-stock items, shorter walking routes, and better inventory positioning.

Some AI features enable warehouse wearable technology. Natural language processing makes voice-picking possible so that workers can operate hands-free and more safely. Smart glasses are equipped with cameras that use computer vision to automatically recognize barcodes. Also using computer vision, cameras placed around the warehouse enable end-to-end product tracking.

Lastly, robotics lends AI a physical presence, spatial awareness, and movement in the real world. AI robots’ capabilities can vary from tasks such as loading or unloading a pallet, moving cargo around the warehouse, and/or performing picking operations.

Artificial General Intelligence, which is the term for AI that can perform any intellectual task that a human can do, is still a long way off. These sub-tasks of AI are the necessary stepping stones to achieve “full AI,” which has the potential to operate a warehouse nearly autonomously.

 

Where is AI in the Warehouse Industry Now?

In the MHI Annual Industry Report 2020, only 12% of respondents are currently using AI technology. Despite the low number, more than half of the respondents believe that AI has the power to disrupt the industry and create a competitive advantage for their business.

 

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S-Curve of Innovation

For the S-Curve, Artificial Intelligence is currently in between the Ferment and Takeoff stage. This phase usually indicates that the technology's evolution is slow. But, the current position of AI suggests that the technology is about to cross over to the Takeoff phase, which means that its evolution is likely to increase significantly within the next few years.

 

S-Curve - AI

 

Technology Adoption Life Cycle

For the Technology Adoption Life Cycle, AI is currently being implemented by the Early Adopters. Being adopted by this group means that thought leaders have determined AI’s capabilities are worth investing in despite the financial risks associated.

 

Technology Adoption  - AI

 

Hype Cycle

For the Hype Cycle, Artificial Intelligence is placed on the Innovation Trigger of Gartner's Hype Cycle for Supply Chain Execution Strategy 2019. Being placed in this position means that the technology is still being conceptualized and prototyped. Often, there are no usable products or services of the technology available for individuals or businesses to implement, and commercial viability for it is still unproven.

 

Hype Cycle - AI

 

Looking at the three technology frameworks above, it is apparent that Artificial Intelligence still needs significant research and development to prove its viability and benefits in the warehouse. If you are willing to take the financial risk and invest in research and development, AI can create a competitive advantage for your business. If not, it is best to keep track and stay updated about the evolution of AI.


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