Feb 26, 2020

3 Ways to Optimize Inventory with AI

62% of supply chain operators have limited visibility of their supply chain and 15% only have visibility on production. Warehouse management systems can be plagued with inconsistencies and inaccuracies. These often snowball into costly miscalculations, bumps in managing orders, and overall poor inventory visibility and stock management.

Factors like varying warehouse locations, different management systems, and timely report generation creates challenges for inventory optimization solutions in all corners of the supply chain. In fact, 43% of small businesses are not utilizing inventory optimization software and instead they are using manual processes, such as spreadsheets or pen-and-paper. This creates a higher probability of creating double entries, difficulties in placing and receiving orders, and time consuming processes of locating stock, among other errors. .

With 72% of retailers planning to reinvent their supply chain with real-time visibility enabled by automation, sensors and analytics, businesses who have implemented digital transformation strategies in their supply chain operation are experiencing significant benefits. Read on to see how you can transform your inventory management process to be proactive, not reactive.

Benefits of Inventory Optimization

A critical component of AI in the inventory optimization processes is its ability to deliver instant alerts on low inventory, delay in delivery and incidents as they occur. These automated inventory alerts play a huge role in improving the speed of order shipments and increasing the efficiency of business operations.

Other benefits include reduced stock waste, improved collaboration and visibility of stock information across departments, monitorization of pricing trends and price increases, inventory turnover, velocity, and more.

Stock Reduction

As of June 2019, U.S. retailers are sitting on approximately $1.36 of inventory for every $1 in sales. In fear of being out of stock when a customer orders it, retailers or overstocking inventory, resulting in even more costs to keep and manage the extra stock. On the flip slide, 34% of businesses ship late because they sell products that are not actually in stock. By implementing inventory reduction strategies, retailers could reduce stock-outs and overstocks. This would lower their overall inventory costs by a minimum of 10 percent.

In addition to increased visibility and accuracy of inventory management, AI has the ability to analyze the performance of suppliers, products and employees which adds to potential costs savings. By proactively identifying underperforming areas of the supply chain, including unsold products, retailers can easily analyze supply chain performance for improved decision making and tighter operation.

Keeping Customers Top of Mind 

30% of supply chain leaders highlighted the need to respond to customer mandates for faster, more accurate and unique fulfillment as a top business priority moving forward. The same study found 28% of those surveyed see the ability to blend data from multiple systems for complete supply chain visibility as a key benefit of an advanced analytics initiative.

This builds on the initiative to access data whenever and wherever you need it with the ability to derive insights as quickly as possible. Not only are supply chain leaders wanting to stay connected and transparent with customers, but the customer experience is now dependent on the supply chain’s relationship and processes to access information from Big Data — another factor that AI streamlines with automation and speed.

Can your supply chain business improve the optimization of its inventory? See how a packaging material distributor has decreased operation costs by more than 20% or contact us to learn more!

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