5 Interesting Applications of Artificial Intelligence in Warehouse Management in 2024

AI has been revolutionary.

Its impact has been felt across various industries. The use of AI is continuously growing.

In fact, according to Grand View Research, the AI market size is projected to grow at an annual growth rate of 36.6% between 2024 and 2030. This demonstrates that AI will have an even greater impact in the future.

In healthcare, AI is being used to detect illnesses even before doctors can detect them. In the financial sector AI is being utilized to identify frauds and to analyze credit worthiness of individuals.

Warehousing has not been left behind. AI has been instrumental in transforming inventory management and demand forecasting.

In this article, we are going to look at the five interesting applications of artificial intelligence in warehouse management in 2024. I hope to enlighten you on some of the ways these tools can be transformational to your enterprise.

Let’s get started.

1. Autonomous Mobile Robots (AMRs) for Inventory Management

AMRs are important in modern warehousing.

According to Fortune Business Insights, the global warehouse robotics market size is expected to register an annual growth rate of 13.8% until 2030.

You may fall behind your competition if you do not adopt AMRs in your warehouse.

Cameras and barcode scanners could be installed in the AMRs to track the inventory instantaneously. 

These robots could then be integrated with the warehouse management systems and update the inventory records in real time.

In addition, AMRs have sensors and cameras that help these robots assess their environments. This leads to safe navigation in the facility. Moreover, the AMRs have special algorithms that help them to choose the best routes.

The AI powered robots can also assist in packing and picking. This helps to reduce the physical strain on your team. This frees up your team to focus on more productive duties.

Shican, a Chinese e-commerce service provider, was struggling to deal with the surge in demand for their products.

By adopting 80 Geek + robots, they were able to deliver goods on time  99% of the time. This was possible because the robots were able to assist in picking and packing. They also autonomously updated the inventory records.

AMRs have become integral to the best warehouse business ideas. They facilitate automation driven warehousing. Since the robots help in picking, packing and transporting goods, they reduce the reliance on human labor.

Moreover, they help to facilitate data driven inventory management. The robots are able to accomplish this by tracking and scanning goods as.

2. Predictive Maintenance Using Machine Learning

Struggling with equipment failure?

Leverage predictive maintenance to prevent failure of your machines and equipment.

According to the Department of Energy, predictive maintenance saves 40% over reactive maintenance. Incorporating predictive maintenance into your facility could help you cut on unexpected expenses.

Sensors could be attached to your machines and equipment. These sensors keep track of various parameters such as pressure, temperature and the vibration levels.

Machine learning algorithms are able to study the past failures, the maintenance logs and normal operating parameters of the equipment. They are therefore able to tell when the machines are not running optimally.

Additionally, artificial intelligence can be able to predict when the equipment is likely to fail based on the data analyzed.

Predictive maintenance is one of the best warehouse business ideas because instead of waiting for your machines to fail, the artificial intelligence models can be used to schedule maintenance when the machines are least needed. 

In this way, you are able to minimize downtime and disruptions to your daily operations.

You can be able to schedule maintenance and servicing not on fixed intervals but based on the condition of the machines.

Israel Electric Corporation, produces 95% of Israel’s electricity. The company was experiencing huge losses each time a turbine went down.

Israel Electric Corporation worked together with SPSS to integrate predictive maintenance to their system. IEC was able to save 20%. This was because they could now detect problems early and take proactive measures.

3. AI-Powered Demand Forecasting and Inventory Optimization

Data analytics is key to business success.

Interestingly, as per Mckinsey, data-driven businesses are 23 times more likely to outperform their competitors. If you do not make data driven decisions you may lag behind.

AI is able to effortlessly analyze large complex data sets that would be difficult for people to analyze. It would also be able to identify subtle patterns in huge data sets that would take people very long to decipher.

Moreover, it facilitates real time processing and updating.

Another merit of utilizing AI models is that it can integrate external factors such as weather conditions in its forecasts.

Incorporating these models can help to reduce stockouts and overstock. The AI models can reduce overstock by improving the demand predictions. This helps to reduce excess inventory.

It can mitigate stock outs by reordering goods that are low in stock and high in demand. AI is able to do this by keeping track of the demand of the products and the turnover rates of the stock. It facilitates the reordering of goods in time to meet the market demand.

demand and turnover rates of products.

Shoeboy, a German footwear company, was having challenges in optimizing stock in its 240 stores.

By integrating WAIR AI Replenisher, Shoeboy was able to record a 4% increase in inventory turnover. This was because the software was able to make accurate demand forecasts.

AI-powered demand forecasting is transforming modern warehouse business models.

The storage facilities are now restocking based on real time demands. This is a far cry from the conventional method of maintaining huge stock.

Moreover, the AI system integrates effortlessly with other automation systems such as AMRs and WMS.

4. Computer Vision for Quality Control and Safety

Struggling to enhance safety?

You may find that there are accidents in your warehouse.

Infact, according to the US Bureau of Labor Statistics, there were 5,486 fatal work injuries in the USA in 2022. If you do not prioritize safety in your facility, your team members could potentially suffer serious injuries.

You could utilize computer vision mechanisms to monitor the compliance of your staff to safety measures such as wearing of personal protective equipment.

If a worker goes against the set guidelines, you could take action and ensure that they follow the stipulated guidelines.

Moreover you could utilize AI powered cameras to identify faulty products. You are therefore able to supply only high quality goods.

By adopting cameras that are integrated with AI you could be able to identify potential hazards such as faulty machinery and spills. You could also utilize the AI models to assess your business operations and pinpoint inefficiencies and bottlenecks in your daily activities.

Orlen, a European petroleum company, was having many instances of staff failing to wear personal protective equipment when handling hazardous petroleum products.

Orlen implemented Surveilly to help the HSE team. Orlen was able to record a 75% reduction in unsafe events. This was because the HSE team was able to spot staff who were not obeying the rules and took action.

Computer vision is swiftly becoming one of the best warehouse business ideas. When integrated with AI, it can automate tracking of inventory.

It also leads to improved quality control.

5. Natural Language Processing for Voice-Controlled Operations

Communication is important for business success.

Infact, according to a survey by Forbes Advisor, 49% of respondents reported that poor communication leads to low productivity at the workplace. Your team could potentially become unproductive due to poor communication.

Natural language processing is reshaping warehouse operations by improving communication.

By leveraging  NLP-driven voice assistants, your team could interact with inventory systems. Your staff are therefore able to receive the information they desire instantaneously.

NLP also facilitates hands-free operation of warehouse management systems. People can give instructions to the WMS while still carrying out duties such as packing and picking. They do not have to stop to conduct manual data entry.

They can just give commands verbally and through NLP their instructions are carried out. This is beneficial for fast paced environments.

NLP systems also facilitate multilingual support. In your warehouse, you may have people from different ethnicities.

Members of your diverse team can interact with the WMS in their native languages.  

The staff member can also choose the language through which they receive instructions and updates from the WMS.

This is advantageous because it ensures that language barrier does not interfere with the business operations.

Daiwa, a Japanese financial company, was struggling to collaborate with non Japanese speakers. They relied on manual sampling for audio calls.

Intelligent Voice and Daiwa worked together to come up with a voice controlled system. The team can now seamlessly collaborate and review audios in Japanese even  with people who are not from Japanese origin.

Conclusion

AI is truly reshaping warehouse management.

According to Mckinsey, warehouses that adopt AI are able to improve services by 65%. Adopting AI to your storage facility could potentially propel your business forward.

AMRs can streamline and automate inventory management. Predictive maintenance can be utilized to minimize downtime of machines by flagging potential issues early.

AI can also help in inventory optimization by accurately predicting demand. Moreover you could use computer vision to enhance safety and quality control.You could also leverage natural language processing for voice controlled operations.

AI has transformed warehousing leading to improved efficiency and accuracy. As further research is being done on AI and ML, these tools are poised to change warehousing even further in the future.

As this continues to happen, you could contribute to the conversation. How do you see AI affecting warehousing in the future?

Continue exploring new ways you can enhance the performance of your warehouse.

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