Optimizing Warehouse Efficiency: Why Manual Goods Transportation is Ripe for Automation with RTLS
- Lyat Avidor Peleg
- Apr 10
- 5 min read
Manual transportation of goods within warehouses is a time-consuming and labor-intensive process that often leads to inefficiencies. Workers spend valuable time moving products from one location to another, detracting from higher-value tasks such as order fulfillment and inventory management. Additionally, manual handling increases the risk of errors, misplacements, and workplace injuries, further impacting productivity and operational costs.
As the demand for faster and more efficient logistics grows, automation is becoming a necessity rather than a luxury. Warehouses are increasingly turning to automated solutions such as conveyors, Automated Guided Vehicles (AGVs), and Autonomous Mobile Robots (AMRs) to streamline material movement, reduce human error, and improve overall efficiency.
A key enabler of automation in material handling is Real-Time Location Systems (RTLS). By providing precise tracking and visibility of goods, equipment, and personnel, RTLS ensures seamless coordination between automated transport systems and warehouse operations. This technology not only optimizes workflows but also enhances safety, minimizes downtime, and maximizes resource utilization—making it a crucial component in modern warehouse automation strategies.

Table of Contents:
Key Challenges
Manual transportation of goods within warehouses presents several inefficiencies that can negatively impact productivity, cost, and safety. Here’s an overview of the key challenges:
Time-consuming and labor-intensive: Manually moving goods from one location to another requires significant time and workforce allocation. Workers spend valuable hours pushing carts, carrying loads, or operating non-automated forklifts—time that could be redirected to more value-added tasks like order fulfillment, quality control, or inventory management.
High labor costs: With rising labor costs, relying on manual transportation can be financially draining. Warehouses must employ more workers to handle peak volumes, increasing operational expenses. Additionally, hiring and training new staff for physically demanding roles can be costly and time-intensive.
Increased risk of errors: Human involvement in transporting goods often leads to misplacement, delays, and incorrect shipments. Workers may pick the wrong items, send products to the wrong destination, or fail to track inventory accurately, leading to costly inefficiencies and customer dissatisfaction.
Workplace safety concerns: Manual transportation involves physically demanding tasks such as lifting, pushing, and carrying heavy loads. These activities increase the risk of workplace injuries, including strains, slips, and falls. Injuries not only harm employees but also result in lost productivity and higher compensation costs for businesses.
Lack of real-time visibility: Manual transportation lacks real-time tracking, making it difficult to monitor the movement of goods efficiently. Without automated tracking, managers have limited visibility into delays, bottlenecks, and inefficiencies, preventing proactive decision-making.
Bottlenecks and operational delays: As warehouses scale, manual processes struggle to keep up with increased demand. Workers moving goods inefficiently can cause congestion in high-traffic areas, slowing down overall operations and creating supply chain disruptions.
Inconsistent performance: Unlike automated systems that function at a steady pace, manual transportation is affected by fatigue, shift changes, and human error. This inconsistency can result in fluctuating productivity levels, leading to delays in meeting customer demands.
To overcome these challenges, warehouses are adopting Real-Time Location Systems (RTLS), in combination with conveyors, Automated Guided Vehicles (AGVs), and Autonomous Mobile Robots (AMRs). These technologies streamline material movement, reduce labor costs, enhance tracking accuracy, and create a safer work environment. By automating repetitive transportation tasks, warehouses can focus their workforce on more critical, high-value operations.
Why Some Tasks Are Ideal for Automation
Manual transportation of goods within a warehouse is time-consuming, inefficient, and a prime candidate for automation. Tasks such as picking, packing, receiving, storing, labeling, and material movement add little value to overall operations yet demand significant labor resources. Real-Time Location Systems (RTLS) provide the necessary visibility and tracking capabilities to streamline these processes, making automation with conveyors, Automated Guided Vehicles (AGVs), and Autonomous Mobile Robots (AMRs) more effective than ever.
According to industry experts, the best candidates for automation are tasks that:
✔ Are time-intensive and add minimal value.
✔ Detract from the time workers spend on critical, high-priority tasks.
✔ Involve excessive manual labor, increasing operational costs.
✔ Are hazardous or physically demanding, leading to higher injury risks.
✔ Are repetitive and prone to human error.
Humans excel at decision-making, but they struggle with monotonous, repetitive tasks. Over time, boredom sets in, leading to mistakes. As a result, tasks prone to frequent errors are strong candidates for automation.

RTLS: The Backbone of Warehouse Automation
RTLS plays a crucial role in making automation seamless by providing real-time visibility, improving coordination between automated systems, and optimizing workflow efficiency.
Here’s how RTLS enhances key automation technologies:
Conveyors:
Suitable for predictable, high-volume material transport.
RTLS ensures real-time tracking of goods moving along conveyor belts.
Improves workflow efficiency by integrating with Warehouse Management Systems (WMS).
Automated Guided Vehicles (AGVs):
Follow predefined paths to transport materials across the warehouse.
RTLS enhances navigation, preventing traffic congestion and optimizing route efficiency.
Reduces manual labor associated with lifting and carrying heavy loads.
Autonomous Mobile Robots (AMRs):
Adapt to dynamic warehouse environments with flexible navigation.
RTLS enables precise tracking and coordination between multiple robots.
Enhances safety by preventing collisions and ensuring efficient material movement.
Key Benefits of RTLS-Driven Automation
✅ Higher Productivity: Frees workers from low-value tasks so they can focus on high-priority operations.
✅ Reduced Labor Costs: Automating repetitive tasks minimizes the need for excessive manual labor.
✅ Improved Safety: Reduces workplace injuries by taking over physically demanding and hazardous tasks.
✅ Fewer Errors: Automation eliminates human mistakes in labeling, tracking, and material transport.
✅ Optimized Workflow: RTLS data helps warehouses analyze trends, adjust automation strategies, and improve efficiency.
Conclusion
Warehouse automation isn’t just about reducing costs—it’s about optimizing operations to create a safer, more productive work environment. By implementing RTLS, warehouses gain real-time visibility and seamless integration with automation solutions, making manual transportation of goods a thing of the past.
💡 Ready to transform your warehouse? Contact us to learn how RTLS can streamline your logistics and drive efficiency!
Pro tips:
✅ Prioritize High-Impact Tasks for Automation Identify material movement tasks that are time-consuming, repetitive, and prone to errors. Implementing automation for these processes—such as moving pallets, bins, or totes—can free up workers for higher-value activities like inventory management and quality control.
✅ Leverage RTLS for Real-Time Visibility Use RTLS to track goods, AGVs, and AMRs in real time. This ensures optimal routing, reduces bottlenecks, and improves coordination between automated systems and human workers, leading to smoother warehouse operations.
✅ Integrate Automation with Existing Infrastructure. Instead of overhauling your entire warehouse, start by integrating automation solutions—such as conveyors, AGVs, or AMRs—with your current setup. RTLS can help by providing location-based insights, minimizing disruptions, and ensuring a seamless transition to automation.