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Home » Blogs » Think Tank » Piece-Picking Robotics and the Race To Lead in Automation

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Piece-Picking Robotics and the Race To Lead in Automation

A WAREHOUSE houses a Robotic arm and robots for packing and moving goods

Photo: iStock.com/Vanit Janthra

July 8, 2024
Brendon Bielat, SCB Contributor

Warehouse automation is undergoing a major transformation, taking advantage of innovations in robotics over the past decade, and moving beyond conveyance technology. The unrelenting demand in global fulfillment has pushed productivity and reliability to their limits, driving the need for a major shift.

For the supply chain industry, now is the time to find efficiencies, improvements and optimizations to maximize warehouse throughput. With the risk of falling irrevocably behind, it’s less about where to start than where integrators and end users must end up. They need to understand the landscape, and be able to identify new opportunities for automation integration in warehousing and supply chain operations.

It has never been harder to ensure smooth and optimized operation among the various components of an automated warehouse. While many market leaders emphasize that their independent systems connect seamlessly with other components, there’s still a significant challenge in integration. And that’s often a main decision factor for buyers.

There could be significant industry consolidation coming to help address this pain point. Choices will be streamlined, allowing for more sophisticated solutions, improved system performance, and a seamless integration experience for customers and system integrators alike.

Navigating the Maze of Choice

The rate of expansion in warehouse automation technology presents ample opportunities as well as new challenges. For stakeholders, that translates into a massive landscape of choice: which technology, which partners, and when is the time right? The result can be decision fatigue, which can then lead to maintaining the status quo.

System integrators are best equipped to deliver an end-to-end view to ensure success in warehouse automation. They can remove the burden of choosing partners one at a time. Integrators offer a panoramic view of end users’ automation journey, simplifying the decision-making process by providing a cohesive solution that aligns with their unique needs. Still, there is complexity in navigating this landscape.

Early adopters are in a race to adopt innovative technologies. They’re helping to define the solution landscape as they address individual pain points. Many can no longer afford to take a “wait-and-see” approach to warehouse automation, sparking significant attention from the investment sector.

The broader economic environment, marked by fluctuating interest rates and consumer behavior, undeniably influences the trajectory of warehouse automation. Despite current challenges, including a dip in venture-capital investment and economic uncertainties, there are encouraging signs. E-commerce demands continue to soar. As borrowing rates adjust, a latent demand for enhanced automation simmers just below the surface, ready to ignite industry growth.

The Piece-Picking Paradigm

At the heart of this automation revolution are piece-picking robots. In the past, they’ve been considered as a means to an end — simply picking individual items to fulfill orders.

Now, the narrative is shifting. Piece-picking robots are transforming the supply chain by addressing long-standing scaling challenges, enhancing overall efficiency, and boosting supply chain resilience. Advances in artificial intelligence, machine learning and robotics have dramatically expanded their capabilities, which are no longer limited to simple, repetitive tasks. Modern versions are equipped with advanced sensors, vision systems, and algorithms that enable them to understand and adapt to their environment. They learn, improve and make intelligent decisions in real time, anticipating issues and solving them.

These robots aren’t just about the speed of the pick; they're about redefining and optimizing the entire operational workflow through advanced machine learning. The impact of piece-picking extends through every facet of supply chain and e-commerce operations, from order fulfillment to returns.

In the broader context of warehouse automation, piece-picking robots integrate seamlessly with warehouse management systems, providing real-time data and analytics. They enable enhanced visibility into inventory, streamline the supply chain, fulfill orders safely and intelligently, and even influencing warehouse layout and design.

Picking robots deliver:

  • Efficiency and productivity. Robots can operate 24/7 or according to particular duty cycles, reducing turnaround times and increasing throughput, for single-shift through multiple-shift operations.
  • Scalability and flexibility. As demand fluctuates, robotic systems can be scaled up or down, adapting to changing requirements without significant downtime, or no downtime at all.
  • Accuracy and reliability. Advanced machine learning algorithms minimize errors in picking compared with human labor, leading to higher customer satisfaction, reducing shrinkage and damage, and expedited packing and order fulfillment.
  • Data-driven insights. Continuous data collection offers valuable insights for strategic decision-making and process optimization for further improvements in rate, range, and reliability.

As piece-picking robots grow in capabilities and sophistication, the nature of the relationship between humans and robots in the warehouse is also changing. Rather than replacing human workers, robots are becoming valuable collaborators that can augment human capabilities and help to create safer, more efficient working environments. Robots can take on the most physically demanding and repetitive tasks, reducing the risk of injury and allowing staff to focus on more complex and strategic supply chain-related activities. This can lead to greater job satisfaction and productivity, as well as improved safety and well-being for warehouse employees.

Training and upskilling the workforce will be crucial to realizing the full benefits of collaboration. Workers will need to develop new skills to operate and maintain piece-picking robots and work effectively alongside these advanced machines. This will require investment in education and training programs, as well as a commitment to fostering a culture of continuous learning and innovation within the warehouse.

Robotic piece-picking is fast becoming a solution for efficiency and a driver of innovation in logistics and supply chain management. The transition opens up new opportunities for efficiency, flexibility and strategic growth. Businesses can pave the road toward large-scale automation, safer work environments, better jobs for humans, more efficient order fulfillment and more satisfied consumers.

Brendon Bielat is vice president of product and marketing at RightHand Robotics.

Robotics All Warehouse Services Order Management & Fulfillment Warehouse Automation Warehouse Management Systems

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