Umgestaltung der Lagerabläufe mit robotergestützter Kommissionierung | FORTNA
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Optimierung von Logistikprozessen mit robotikgestützter Kommissionierung

Fortschritte in der Sensor- und Bildverarbeitungstechnologie, gepaart mit KI-Algorithmen, haben zur Entwicklung von schnell umsetzbaren, robotikgestützten Kommissionierlösungen geführt. Erfahren Sie mehr: Welche Arten der robotikgestützten Kommissionierung gibt es? Wie können Personalkosten gesenkt werden? Und wie lassen sich Produktivität und Genauigkeit steigern?

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As organizations work to improve warehouse productivity, increase order accuracy and meet rising customer expectations, robotikgestützter Kommissionierung technologies are becoming more scalable and cost-effective than ever before. Advances in robotic sensors, vision technology, machine learning (ML) and artificial intelligence (AI) are enabling robotic warehouse solutions that can be deployed quickly without disruption.

At the same time, labor shortages and fulfillment pressures are accelerating modernization initiatives. According to the 2026 MHI Annual Industry Report1, 56% of organizations expect to increase their spending on supply chain innovation. Along with this boosted level of investment, the adoption of AI is expected to increase by 88% and robotics and automation by 73% over the next five years.

Organizations that delay modernization risk falling behind competitors that are building more agile and efficient fulfillment operations. In this Insight, we spotlight different types of robotic picking solutions that can lower labor costs, boost productivity and raise accuracy rates to give you the competitive edge.

Automated warehouse with robotic picking arms, conveyor belts, and autonomous mobile robots at work | FORTNA

What is robotic picking?

Robotic picking refers to warehouse automation technologies that optimize manual picking processes by using robots and intelligent software systems. These solutions automate repetitive and physically demanding fulfillment tasks to improve operational efficiency, accuracy and scalability.

Robotic picking systems can take many forms, including robotic arms, autonomous mobile robots (AMRs), automated storage and retrieval systems (ASRS), goods-to-person (GTP) technologies and shelf-to-person robotics. Robotic picking has become a critical component of modern warehouse operations as e-Commerce growth and shifting demands continue to drive fulfillment complexity.

4 Vorteile der robotikgestützten Kommissionierung

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Warehouse robotics and automation become even more powerful when paired with intelligenter Software such as warehouse execution systems (WES), warehouse control systems (WCS) and warehouse management systems (WMS).

These systems integrate and orchestrate robotic solutions to provide:

  • Real-time inventory visibility
  • Dynamic slotting optimization
  • Improved inventory accuracy
  • Faster replenishment
  • Optimized labor deployment

Scalability for changing demands

Warehouse operations must be prepared to scale quickly during seasonal peaks, promotional events and unpredicted shifts while supporting long-term business growth. Robotic picking systems offer flexible scalability by allowing organizations to:

  • Add AMRs or robotic picking stations as demand grows
  • Increase throughput without adding labor
  • Support higher SKU volumes and order complexity
  • Improve fulfillment speed, even during peak periods

Robotic fulfillment systems allow operations to scale incrementally, helping organizations avoid large upfront infrastructure investments.

Improved order accuracy

Best-in-class organizations report near-perfect accuracy in order picking, leaving minimal room for error.2 The reality is, order inaccuracies, mispicks and returns can significantly impact profitability and customer loyalty.

Robotic picking systems reduce human error by leveraging advanced technologies, integrating vision sensors, AI and intelligent software orchestration. Automated picking technologies help ensure the correct SKU is picked every time, minimizing costly returns and rework. Robotic picking systems can:

  • Minimize human errors
  • Boost accuracy rates
  • Reduce costs associated with reshipments, credits and reverse logistics

With real-time inventory visibility and optimized workflows, operations can deliver a more consistent customer experience with a 99.9% pick accuracy rate with robotic picking solutions powered by FORTNA.

Enhanced worker safety and ergonomics

Warehouse workers often perform repetitive motions, heavy lifting and extensive walking that can contribute to fatigue and workplace injuries. Robotic picking solutions automate physically demanding tasks and reduce employee exposure to:

  • Repetitive strain injuries
  • Forklift traffic
  • Ladder climbing
  • Heavy lifting
  • Long travel distances

Transportation and warehousing experience the highest recordable injury and illness rates, ranking them among the most dangerous industries.3 Robotics can help create safer, more ergonomic fulfillment environments while improving employee satisfaction and retention.

Types of robotic picking solutions

Advancements in AI, machine vision and end-of-arm tooling have made robotic arm picking a viable fulfillment solution for a growing number of applications.

Robotic arms can be deployed at picking stations where they identify items using:

  • Barcodes
  • Package graphics
  • Dimensions
  • Shape recognition
  • AI-driven image analysis

Once identified, the robotic arm picks and places the item into the appropriate container. Vacuum and gripping end-of-arm tooling can be customized to safely handle various product types without causing damage. Robotic arm picking is especially effective for high-volume, repetitive picking applications.

Traditional manual warehouse fulfillment often requires workers to travel long distances to retrieve items from storage locations and then deliver the completed order to a packing station.

In a person-to-goods robotic solution, collaborative robots or AMRs travel through the warehouse while workers remain within assigned picking zones. The robot directs the worker to the appropriate pick location and quantity before continuing through the workflow.

Benefits include:

  • Reduced worker travel time
  • Faster picking rates
  • Improved labor utilization
  • Flexible deployment

Goods-to-person fulfillment is one of the fastest-growing robotic warehouse strategies. In a GTP solution, workers remain at ergonomic stations while inventory is automatically delivered to them using robotics and automation technologies. High-level software orchestrates inventory movement, order sequencing and fulfillment workflows.

Benefits of goods-to-person systems include:

  • Higher throughput rates
  • Improved order accuracy
  • Reduced labor travel
  • Kompaktere Lagerung
  • Faster fulfillment times

Technologies that support GTP fulfillment include:

  • Automatische Lagerbediengeräte-Lösungen
  • Shuttle systems
  • AMR-based fulfillment systems

Organizations implementing GTP systems, like the FORTNA Autostore automated storage and retrieval system, report productivity improvements of 3x compared to traditional manual picking operations.

Shelf-to-person solutions use AMRs or automated guided vehicles (AGVs) to transport entire shelving units or racks directly to warehouse workers at ergonomic picking stations.

Workers pick items directly from the shelf while the robotic system manages inventory movement throughout the facility. This approach offers several advantages:

  • Reduced worker walking
  • Faster onboarding and training
  • Flexible scalability
  • Efficient handling of large SKU assortments

Shelf-to-person robotics, like the FORTNA Geekplus solution, have become increasingly popular in e-Commerce fulfillment and omnichannel distribution operations.

Totes-to-person systems use Kompaktlager combined with robotic shuttles and AMRs to automate inventory retrieval and delivery. In this solution:

  1. A shuttle robot retrieves the tote or carton from storage.
  2. The tote is delivered to a transfer location.
  3. An AMR or AGV transports the tote to a goods-to-person picking station.
  4. The tote is returned to storage or routed to another fulfillment area.

Totes-to-person automation is ideal for operations requiring high throughput, dense storage and rapid order fulfillment.

Like the other picking methods, a pallet-to-person picking solution involves a pallet being transported by shuttle robots and elevators to a zone where it is placed on a pallet AMR or AGV and delivered to a picking station where a worker picks the items for the order.

This approach is especially beneficial for:

  • Heavy products
  • Bulk picking operations
  • Mixed pallet building
  • Wholesale and retail distribution

Workers remain at ergonomic workstations while robotic systems transport inventory throughout the fulfillment process.

The future of robotic picking

Warehouse automation continues to grow rapidly as organizations seek greater flexibility, resilience and efficiency in their supply chains.

Emerging trends in robotic picking include:

  • AI-powered robotic systems
  • Machine learning optimization
  • Autonomous decision-making
  • Multi-robot orchestration
  • Increased integration with warehouse software platforms

As robotics technology continues to advance, fulfillment operations will gain new opportunities to improve throughput, reduce costs and adapt to changing customer demands.

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FORTNA helps organizations evaluate, design and implement robotic warehouse solutions tailored to their unique fulfillment challenges. Our experts combine software, automation and operational expertise to identify best-fit solutions that improve performance today while supporting future growth.

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FAQs

What is robotic picking in warehouse automation?
Robotic picking refers to the use of robotics, artificial intelligence (AI) and warehouse software that automates item picking and fulfillment processes within distribution centers and warehouses. Robotic picking systems can include robotic arms, autonomous mobile robots (AMRs), goods-to-person (GTP) systems, automated storage and retrieval systems (ASRS), shelf-to-person and totes-to-person automation. These technologies help improve productivity, increase order accuracy and reduce manual labor requirements.

What are the benefits of robotic picking systems?
Robotic picking systems help organizations improve warehouse efficiency, reduce labor dependency and increase fulfillment accuracy. Key benefits include faster order fulfillment, reduced worker travel, improved inventory visibility, scalability for peak demand periods and enhanced workplace safety. Many robotic picking solutions also integrate with warehouse management systems (WMS), warehouse execution systems (WES) and warehouse control systems (WCS) to optimize workflows and inventory movement.

How does goods-to-person (GTP) fulfillment improve warehouse productivity?
Goods-to-person fulfillment improves productivity by automatically delivering inventory directly to workers at ergonomic picking stations instead of requiring employees to walk through the warehouse to retrieve items. GTP systems reduce travel time, increase throughput by 3x, improve pick accuracy to 99.9% and support higher storage density while reducing storage footprint requirements by up to 75%. Technologies such as ASRS, shuttle systems and AMR-based fulfillment solutions are commonly used to enable goods-to-person automation.

What industries benefit most from robotic picking automation?
Robotic picking solutions are widely used across industries with high-volume fulfillment operations, including e-Commerce, retail, apparel, footwear, grocery, food and beverage, consumer packaged goods (CPG), pharmaceuticals, medical device and third-party logistics (3PL). These industries benefit from robotic picking because it helps manage labor challenges, support SKU growth, improve order accuracy and scale operations during peak demand periods.

How do robotic picking systems improve order accuracy?
Robotic picking systems improve order accuracy by using AI, machine vision, barcode scanning and intelligent software orchestration to verify products throughout the picking process. Automation reduces manual errors, mispicks and incorrect shipments while improving inventory accuracy and workflow consistency. High-performance robotic fulfillment systems can achieve pick accuracy rates up to 99.9%, helping reduce returns, reshipments and reverse logistics costs.

<sup>1</sup> <a href="https://www.mhi.org/annual-industry-reports" target="_blank" rel="noopener">https://www.mhi.org/annual-industry-reports</a><br /> <sup>2</sup> <a href="https://www.netsuite.com/portal/resource/articles/erp/order-fulfillment-kpis-metrics.shtml" target="_blank" rel="noopener">https://www.netsuite.com/portal/resource/articles/erp/order-fulfillment-kpis-metrics.shtml</a><br /> <sup>3</sup> <a href="https://injuryfacts.nsc.org/work/industry-incidence-rates/most-dangerous-industries/" target="_blank" rel="noopener">https://injuryfacts.nsc.org/work/industry-incidence-rates/most-dangerous-industries/</a>

 

Published/Updated 7/20/26