AI Solutions for Modern Inventory Management

By
 
Alexis Castaldo
 
on
 
May 23, 2024

In today’s rapidly evolving working environment, the introduction of AI tools has brought a complete transformation, and the supply chain makes no exception. Businesses now move faster and operate more efficiently, aiming for a large-scale production and improved results. 

But what exactly is AI, and how can it enhance the supply chain proficiency? Is it the ultimate solution for achieving better results? Let’s delve into these questions in this article. 

What is AI, and why is it important?

Artificial intelligence refers to computer systems capable of performing tasks that typically require human intelligence. This emulation strategy is vital in supply chain management, allowing tasks to be achieved faster and more efficiently. 

The integration of sophisticated technologies can significantly boost your business performance. From predicting trends to optimise inventory levels and reducing costs to ensuring precision accuracy, AI becomes an essential tool for the best outcome of your business management. 

AI benefices in inventory management

So, how exactly does AI proceed to transform traditional inventory management systems and processes? Let’s explore the multifaceted role of AI, its benefits, and the challenges it presents.

Forecasting demand

One of AI’s most significant contributions to warehouse management is the ability to forecast customer demand. By analysing historical sales data, market trends and seasonal fluctuations, AI technologies can predict future product demand. 

This capability is vital for the global management of inventory systems. Understanding future demand allows businesses to manage their stock better, phasing out less popular items and focus on producing what customers actually want. The reduction in human error, thanks to the use of AI, greatly improves demand forecasting accuracy. 

Optimising inventory levels

AI’s ability to predict customer demand also helps optimise inventory levels. Businesses can improve stock management by identifying popular products and focusing on selling them. They can also clear out old products that are not selling well. This helps businesses optimise their inventory and increase sales. 

By giving priority to high-demand products, businesses can maximise profits and reduce waste. This is the best way to avoid congestion, ensuring that when deliveries arrive, parcels can be processed immediately. 

To optimise your inventory levels, it might be wise to reorganise your space. Vertical organisation in warehouses is a new way to manage space, making it easier to visualise and access items on shelves. 

Cost saving

Maintaining stock can be expensive, with overstock and stockouts presenting significant challenges. Being able to efficiently manage warehouses with AI ensures that money is spent wisely on the most relevant product. This approach allows an effective product allocation and optimised inventory control strategies. 

Proper stock management not only controls costs, but also frees up resources for investment in growth and innovation. 

Enhanced customer satisfaction

One of the main factors of business success comes from customer satisfaction. AI can analyse vast amounts of data to predict real-time and future trends, providing insights into customer preferences. This enables businesses to offer products that customers are more likely to want, thereby enhancing satisfaction. 

Enhanced employees satisfaction

Using AI significantly eases the workload of employees. Particularly in warehouses, AI can reduce the physical strain and accelerate task completion. Improved working conditions lead to higher employee morale and better job performance, which in turn positively impacts the overall business performance.

Precision in on-time deliveries

Time management is a constant challenge in the supply chain, often leading to deliveries delays and customer discontent. AI systems can help organise your work, including managing your workflow, ensuring timelines are met and reducing the stress of manual planning, because technology will do it for you.  

Effective warehouse management is crucial for time efficiency, but having a reliable delivery service is equally important. At Shippr, we provide a stress-free solution for your company. Our technology easily connects you to the most comprehensive offer of same-day delivery. Don’t hesitate any further to become a Shippr partner and streamline your delivery process!

Using AI for the automation of tasks

Another significant advantage of AI tools is their ability to automate tasks. Advanced software programs and robots are employed in warehouse management to enhance efficiency and accelerate the work process. 

For instance, AI-driven robots are used extensively for order preparation. They organise orders as they come in, scanning product labels and sorting items into delivery groups. These groups are further divided based on size and the delivery destination, ensuring precise and efficient order processing. 

Therefore, the use of robots allows a wise combination of human and machine intelligence for the achievement of better outcomes and maximum efficiency. 

Potential risks of AI tools

Despite the significant advantages AI tools can provide, there are also some downsides to consider. While these tools evolve rapidly, they remain relatively new, and we are still learning the full implications of their use. Among the most critical risks are: 

  • Inaccuracy of data prediction: Although AI is far more efficient than humans in data prediction, it is not flawless. Errors can occur if AI is not properly trained or if it receives improper data input. Ensuring accurate data training is essential to minimise errors.
  • Insufficient understanding of AI: Many people lack a full knowledge of AI, which could lead to errors caused by superficial decision-making. To avoid this, it is crucial to train staff on AI tools and their applications.
  • Usage of private data: AI tools often require access to customers’ private data to analyse market trends. However, we are not sure about how this data is handled by AI, posing potential risks to customers’ privacy. Therefore, it is vital to impose data protection protocols to safeguard sensitive information.

Choosing the right AI tools

There are plenty of inventory management software options available on the market. Especially if you are new to the subject, navigating through them and choosing the best one can be challenging. In another article about the importance of inventory management systems for warehouses, we have listed the top inventory management software you can find on the market. Read it to make an informed choice!

Amazon’s AI approach: a case study 

Since its launch in 1994, Amazon has grown to become the largest e-commerce company in the world. Amazon's total revenue increased by 12% from $514 billion to $575 billion, according to their latest financial reports.

One of the main pillars of Amazon’s success is its robust data ecosystem. By collecting information on customers preferences, including the products they favour, items on their wish list,  previous orders and reviews they leave, Amazon can analyse buying behaviour to offer personalised suggestions. This not only enhances customer satisfaction, but also improves product quality. 

Data monetization is at the heart of Amazon’s success. The company’s impressive growth would not have been possible without AI technologies that gather specific data to identify trends and make accurate predictions.

Another key to Amazon’s success is its Fulfilled by Amazon (FBA) inventory capacity management system. Through a sophisticated data monetization strategy, Amazon efficiently organises its warehouses. This strategy includes:

  • Advance capacity planning: Amazon's predictive tools inform sellers of next month's inventory limits every third week via the Capacity Monitor and email. This data-driven approach helps sellers control inventory costs more effectively.
  • On-demand capacity increase: With tools like Capacity Manager, sellers can make reservations for additional capacity by paying a fee, boosting their position in the market.
  • Accurate space usage: Amazon now measures capacity and inventory usage in cubic feet instead of units, allowing for more accurate tracking and better-informed inventory management decisions.

These advanced inventory management practices, combined with effective data monetization, solidify Amazon’s position as the leading e-commerce company worldwide. 

Conclusion 

AI technologies can significantly enhance warehouse coordination, allowing you to streamline operations, reduce costs and errors, and adapt to changing market conditions. Embracing AI in inventory management helps businesses stay ahead of competitors and thrive in a digital world. It's about keeping up with the times and leading the way.