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6Ways Technology Can Make Inventory Management Easier

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Excessive inventory is considered a lossof capital in the business world. According to the rules of quality management, inventory is a burden that needs to be dealt with efficiently. The concept of lean time focuses on the calculated time for an order to complete its journey. Hence, the optimization of lean time is critical. In the contemporary world, every business size tries to prioritize inventory according to location and demand. Many technological interventions have made the process easy for some businesses. However, it has not reached the small to medium scaled businesses, and it has created a huge void.

Case study of Amazon:

Amazon has outdone itself when it proved its mettle in the times of the COVID-19 crisis. Intellify is an AI (Artificial intelligence) software by Amazon that uses machine learning to improve inventory management. It comes under Amazon Web Services. Amazon has also outsourced the software to other businesses and helped them with their inventory. During Covid-19, Amazon optimized its inventory by using cutting-edge technology, which reflected in its growth margins. They analyzed the data and forecasted the execution based on multiple metrics such as interest, frequency, location, and other attributes.

In modern times, the survival of businesses has become unpredictable. The right focus on inventory management can help the business to survive and eventually grow. The core element of inventory management is warehouse automation. Warehouse automation primarily includes systems for sorting, slotting, spacing, labeling, distinctive casings, product evaluation, invoicing mechanisms, and much more.

Companies are in dire need of proper guidance concerning inventory management. Following are some ways to make inventory management easier for businesses;

  1. Predicting demand through data analysis

Businesses need to focus on data to understand the demand trends. There is some software available that can help in analyzing the data. A well-educated decision can go a long way. The data can also help in understanding the product cycle and can link the demand trends. The demand shifts because of multiple reasons. It is impacted by seasons, fashion trends, marketing strategies, and much more. It is a fascinating idea to understand that one can predict what anyone desires. At this point, technological advancement can only bring us closer to the accurate goal. However, it is a huge leap fromwhere we came from in the past.

  1. Warehouse process optimization

By using warehouse management software, businesses can reach their optimum potential and cut costs. The lean six sigma is an effective process that reduces waste and improves productivity. Adopting the lean six sigma model helps managers optimize their warehouses. Warehouse management includes the ABC classification that focuses on the division for usage and selection. Such divisions can easily be processed through warehouse optimization software. There is multiple software, such as SAP and Oracle that help in optimizing the warehouse processes. Certain simulations can help run different possibilities for the tweaks in the system. It gives a predictive analysis for future choices.

  1. Restoring the sold stock

Managers tend to spend a lot of time evaluating the used stock and then approving its restocking. It takes a lot of time and is not good for businesses. There might be some stocks that are sold more quickly than others. One can automate their order fulfillment to reduce waste. Order fulfillment software can help in distinguishing fast-moving commodities from the rest. Managing perishable goods can cause trouble for businesses, but understanding the demand trends can help businesses grow. Restoring the stock has a strong correlation with consistency in demand.

  1. Evaluating through data analysis

It is a universal rule for every business to quantify their efforts and analyze the day for future growth. You can improve theevaluation process by using data collection and smart software togather insights. These insights will be about the warehouse management processes, demand trends, restocking, labeling, and more. Data evaluation assists the other stakeholders in understanding the processes of the businesses. The data analysis process is comprehensive. These reports can help businesses to compare and measure their growth. Furthermore, these evaluations become a guide for new businesses and a road map to innovation.

  1. Outsourcing inventory management

If a company cannot optimize its inventory management, it can outsource the task to companies that provide such services. Amazon itself provides inventory management services through their top of the line machine learning software. Many companies have specialized in different aspects of supply chain processes to facilitate businesses. These specialized companies run their businesses in such specific niches. Hence, it is a good avenue for businesses to explore third-party service providers if they can manage their warehouses themselves.

  1. Automation of labor work through machines

There is still a lot of room for innovation with respect to the labor involved in the factory. Every day, new machines are being built to increase the performance of the warehouses. A company should invest in such technologies to decrease the cost of labor. The decreased labor cost will help businesses reinvest the saved finances in other crucial business functions. Also, automation of labor work will provide transparency and increase efficiency. There has been a surge in roboticsresearch to facilitate people’s lives. The focus of research in the industrial sector has the potential for stratospheric growth. Hence, innovation is the key to survival in the future.


Inventory management can be easy for businesses by applying certain practices that have proved fruitful for previous users. People can learn from the successful warehouse management examples and implement them. In contemporary times, businesses have to opt for technological remedies to survive. Or else they will fail under the burden of competition. In addition, there has been a lot of innovation in the inventory management processes due to the pandemic. The future holds success for the businesses that adopt the technologies to support innovation.

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