In the early third millennium, artificial intelligence is making a robust advent into multiple industries, accelerating and facilitating shop floor routines in real estate, traveling, insurance, banking, construction, manufacturing, and other verticals. Retail and logistics are following this movement, where this disruptive technology is seen in numerous applications.
This article will explore the most typical use cases of AI for warehouse management, considering the vital benefits and key challenges of leveraging the know-how in this domain. Also, we will offer real-world examples and vital tips, and outline future trends concerning artificial intelligence employment in warehouses.
There are several warehouse management areas where artificial intelligence can elevate pipeline operations to a new level.
To avoid overstocking or stockouts, warehouse managers often struggle with forecasting demand for certain items, especially when they have tons of data to process. For AI tools, working with vast data volumes is a cakewalk. They can be highly instrumental in predicting demand scenarios for products in densely populated urban areas with intense purchasing activity, ensuring the company won’t run out of mission-critical supplies (like packaging materials), minimizing waste, and reducing storage costs.
When simple and repetitive sorting, transporting, and storing jobs are delegated to intelligent robots, employees can focus on more meaningful or complex tasks that require creativity and human oversight.
Today, RFID (Radio Frequency Identification) technology is widely applied for inventory and personnel tracking. Adding an AI layer to it can boost object identification, behavior prediction, and workflow optimization in real-time. It shortens the reaction time and improves problem-solving.
As a rule, managers decide on labor allocation, guided by deadlines, daily volume goals, and productivity indices. Artificial intelligence warehouse management solutions can better handle the labor planning routine, continuously maintaining the organization’s maximum efficiency.
Economic downturns, pandemics, military conflicts, supply chain disruptions, global canal blockages, and other disasters are significant risk factors that have an impact on product circulation. Warehouses can mitigate these risks by employing high-end AI algorithms that model various scenarios and forecast possible market fluctuations in demand and supply.
Warehouse managers usually set individual performance objectives based on Engineered Labor Standards (ELS). However, capturing ELS data is often time- and resource-consuming. AI can improve the collection routine by considering numerous variables influencing the task-solving time (work area, work type, distance to travel, etc).
Very often, workers cover long distances to pick up orders and deliver goods. AI warehouse management software can significantly optimize the traveling cycle and cut down on fuel consumption and delivery time by choosing the shortest shipping routes, analyzing traffic information and weather conditions to bypass traffic jams, and conducting intelligent batching. The latter technique allows employees to batch orders depending on multiple factors like pick location, product attributes, order priority, travel cost, final destination, etc., and thus avoid unnecessary trips, which paves the way to more ecologically-friendly delivery practices.
Many modern warehouses stick to static product placement, which causes subpar space utilization and inefficiencies in item delivery, especially when product demand changes. AI in warehouses can continuously reassess product layouts by taking into account such factors as seasonality, incoming stock, item dimensions, and real-time sales data. Such a dynamic approach enables personnel always to have high-demand goods within easy reach and minimize retrieval time.
Two years ago, in a survey by McKinsey & Company, 62% of senior managers reported excessive maintenance costs. To counter such wastage, 84% of them planned to embrace a predictive approach to equipment maintenance, and AI-fueled solutions can be a good crutch in this task. They can monitor machinery performance, predict its failures, and schedule optimal maintenance sessions, thus creating a resilient and sustainable warehouse environment.
AI-powered solutions will bring numerous advantages to these (and many other) shop floor processes.
As a trusted software vendor specializing in AI development, the Requestum team sees the following benefits in using artificial intelligence for warehouse management:
Although being highly beneficial for all stakeholders, AI in warehouse management faces various challenges.
When deciding on turning artificial intelligence into a driving force behind their enterprise’s digital ecosystems, organizations should be aware of potential pitfalls and bottlenecks they may encounter along the way:
Addressing all these challenges is a prerequisite for successfully implementing AI-based software in warehouse management.
Requestum has completed dozens of AI projects, so we know how to tackle AI implementation in warehouse management initiatives. Let’s explore some tips from our team:
Without a well-thought-out roadmap, embracing AI for warehouse management is doomed to failure. To develop such a strategy, you should thoroughly analyze your company’s needs and capabilities, set project goals, and establish the deliverables you want to obtain on completing the endeavor.
In fact, artificial intelligence is an umbrella term used to cover various technologies ( machine learning, Big Data, natural language processing, computer vision, image recognition, robotics, and more). You should determine which of them fits your project objectives and will bring maximum value to your shop floor operations.
We recommend novices in the field start their AI journey by implementing pilot solutions honed to solve specific and small tasks. When your personnel take the changes in their stride and learn to handle novel software well, you can move on to more sophisticated products and gradually increase the scale of AI involvement in your workflow optimization.
You should establish KPIs displaying how much your efficiency, productivity, and customer satisfaction have improved after making AI software an essential element of your IT ecosystem. In case the results don’t live up to your expectations, you will understand where the shoe pinches and what you need to do to remedy the situation.
All these tips are no secret to major-league brands that utilize artificial intelligence for their warehouse management tasks.
Now let’s see how blue-chip companies benefited by employing artificial intelligence in their warehouse management assignments.
Obviously, these business giants keep abreast of the latest high-tech developments and are ready for deeper AI penetration into their pipeline processes in the near future.
What are the dominating trends in this realm today that are likely to shape the contours of warehouse management for years to come?
As you see, warehouse management is becoming ever more AI-driven. To keep up with the sweeping changes in the industry, you should implement AI-based solutions into your shop floor operations on a large scale.
Today, artificial intelligence is one of the most dynamic fields that powers digital products across multiple industries. Its application for warehouse management initiatives improves enterprises’ efficiency and sustainability, enhances the accuracy and safety of their pipeline processes, reduces OPEX, and promotes data-driven decision-making. AI’s use cases in the domain include demand and workforce planning, workflow automation, employee performance management, transportation and space utilization optimization, predictive equipment maintenance, risk management, and more.
Numerous real-world examples of AI usage by major-league companies for warehouse management prove that organizations can maximize the value of AI by addressing typical implementation challenges and hiring qualified IT outsourcers to develop custom AI-powered software that will fit their business goals.
Originally published at https://requestum.com.
AI in Warehouse Management: Zooming in on the Benefits was originally published in Dev Genius on Medium, where people are continuing the conversation by highlighting and responding to this story.