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  • Team ODA

Using Artificial Intelligence (AI) in Warehouse Management to Bring Efficiencies

Updated: Nov 28, 2023



By optimizing operations and reducing costs, AI in warehouse management offers benefits on both fronts, operational as well as strategic. We learn more here.


From the adoption of barcode scanners to the implementation of sophisticated inventory

management systems, businesses have continually sought ways to optimize their

warehouse functions.


The paradigm shift, however, has occurred in recent times, as artificial intelligence (AI)

has emerged as a transformative tool. Yet many enterprises are only beginning to scratch

the surface of its potential.


AI has hit the function of warehouse management, at a time when the demand for e-

commerce continues to surge, and warehouses are under immense pressure to meet higher

order volumes with speed and accuracy. In such rapidly changing conditions, AI-powered

warehouse management presents a golden opportunity to not only keep pace with this

demand but also to excel in it.


47% of established organizations are actively implementing AI and automation in their

supply chain operations. Revolutionizing warehouse management with this exercise is one

important part of the agenda. Notably, AI can help supply chain operations achieve a

remarkable 40% efficiency improvement, and this improvement is realized when the

function of warehouses is re-engineered.


As AI can bring a turnaround in the way warehouses function, we delve into how it

unfolds these improvements.


The Power of AI in Warehouse Management


AI acts as a virtual vigilant warehouse manager and brings key improvements in the overall

functioning of the warehouse. The optimization of the function extends its benefits to other

linked activities of the supply chain. Key areas where it brings improvement are highlighted

here.


Optimizing Layout and Space Utilization


Through advanced algorithms, AI analyzes data on inventory movement patterns,

product dimensions, and order frequencies to design an efficient layout. The analysis not

only makes the popular products easily accessible but it also maximizes the use of

available space. In this manner, AI paves the way for reducing the need for costly expansions or additional storage facilities.


Guiding Picking and Packing Processes


By analyzing historical data and real-time demand fluctuations, AI can create intelligent

picking routes for warehouse staff. Resulting in the reduction in travel time, AI increases

the overall picking accuracy. Additionally, AI can assist in dynamic packing decisions,

optimizing box sizes to minimize wasted space and packaging materials.


Predicting Optimal Storage Locations


AI's predictive capabilities are harnessed to determine the most suitable storage

locations for different products. By considering factors such as product dimensions,

weight, and demand patterns, AI ensures that frequently picked items are stored in easily

accessible areas, further reducing picking time.


Faster Sorting and Categorization


Algorithms like computer vision can quickly and accurately categorize returned items.

The items can be sorted based on their condition, reason for return, and potential

disposition (restock, refurbish, or dispose).


Disposition Optimization


Analyzing past data, machine learning models can make recommendations on the best

disposition for each type of product. For example, a model may suggest that certain

categories of items from old or returned stock are more profitable to refurbish, while

others are better suited for disposal.


Accurate Order Management


AI can predict demand patterns, optimizing inventory levels to prevent stockouts or

overstocking, thereby reducing fulfillment times and errors. Real-time monitoring

enables agile adjustments in the ordering process, due to which inventory levels are

always above safety stock thresholds.


How can ODA assist?


Optimum Data Analytics specializes in developing cutting-edge AI solutions tailored to meet

the unique needs of businesses in the logistics and supply chain industry. We have delivered niche-specific solutions in the areas and streamlined the warehouse management function, bringing visible improvements.


Infusing your warehouse management software with state-of-the-art AI capabilities, our

solution optimizes all your warehouse operations, including slotting, picking, and labor

management. Our solution derives their capabilities from advanced mathematical modeling

techniques, built by a team of data scientists, AI and machine learning engineers, and

warehouse management specialist with extensive experience.


What sets us apart is our ability to refine warehouse operations on the fly. Compatible with

various equipment, including carts, pallet jacks, and robots, our AI-powered solution

ensures a seamless integration into your existing workflow.


Conclusion


As the magnitude of a supply chain and logistics evolves, embracing AI-powered warehouse management is no longer an option but a necessity. It can be a tool for enterprises to achieve operational excellence and optimize their spend on the function. From the strategic perspective, AI-driven warehouses take you ahead of your competitors as they can remarkably boost delivery performance and nurture positive customer sentiments.


With ODA’s expertise in AI-driven solutions, you can easily unlock the full potential of AI in

warehouse management and render a next-gen form to your warehouses. The sooner the

better, and so we suggest you start integrating AI in warehouse management right from

today so that you surge ahead fast and swiftly.



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