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Unlocking the Potential of Contour Data with the Cubiscan Contour Pro

by | Apr 2, 2025 | Cubiscan Products, Dimensioning

In today’s rapidly evolving logistics landscape, leveraging advanced technologies like the Cubiscan Contour Pro pallet dimensioner is crucial for optimizing operations. This cutting-edge device provides comprehensive contour data, offering insights beyond standard dimensions and enhancing various aspects of warehouse management.

Signs Your Facility Could Benefit from Contour Data 

To determine if your operation would gain from implementing the Cubiscan Contour Pro, consider the following indicators… 

Standardized Pallet Configurations: If your facility loads pallets using specific recipes—a standardized makeup and composition of a pallet—detailed contour data ensures consistency and accuracy in pallet building. 

Space-Conscious Storage: Facilities utilizing measurement data for precise put-away processes, especially in tight spaces, can maximize storage efficiency with accurate contour information. 

Automated Material Handling: Operations employing Automated Guided Vehicles (AGVs) for pallet handling and put-away require reliable contour data to navigate and operate effectively. 

Quality Assurance Challenges: Experiencing issues like damaged or missing products and improperly loaded pallets indicates a need for enhanced data to improve quality control measures. 

Advantages of Implementing Contour Data 

Integrating the Cubiscan Contour Pro into your automated warehouse solutions offers several key benefits: 

Product Protection 

Approximately 34% of product returns are due to damage, leading to significant financial losses when considering replacement costs, chargebacks, packaging, and transportation expenses. Utilizing contour data allows for the creation of load “recipes,” ideal profiles detailing length, width, height, and load arrangement. These recipes help identify and redirect pallets that deviate from set parameters to rework areas, preventing AGVs from handling poorly loaded pallets and reducing the risk of product damage.

Enhancing Workplace Safety 

In 2020, workplace injuries in the U.S. amounted to $163.9 billion, with an average cost of $40,000 per medically consulted injury. While not all accidents are preventable, implementing contour data systems with specific pass/fail criteria can mitigate many risks. The Cubiscan Contour Pro assesses both pallet conditions and their contents, ensuring that pallets outside acceptable parameters are rerouted for reworking. This proactive approach minimizes the likelihood of accidents caused by handling damaged pallets, thereby safeguarding employees.

Boosting Operational Efficiency 

By protecting products and personnel, contour data indirectly enhances your bottom line. The Cubiscan Contour Pro’s ability to detect overhang, lean, and load center ensures optimal pallet handling and storage within automated systems. This precision leads to efficient space utilization, accurate order fulfillment, and streamlined warehouse practices, all contributing to cost savings and improved operational efficiency.  

Future-Proofing Your Warehouse with Contour Data 

Proactively investing in advanced technologies like the Cubiscan Contour Pro pallet dimensioner enables businesses to enhance product protection, employee safety, and operational efficiency. By providing detailed contour data, this system supports the development of automated warehouse solutions that drive overall performance improvements.

About Cubiscan 

For over 30 years, Cubiscan has led the automated dimensioning industry. In the 1980s, it became clear that accurate dimensions and weight were essential for warehousing, distribution, right-size packaging, and freight-manifesting applications. By the mid-1990s, the company had established itself as an innovative supplier of static and in-motion dimensioning systems. Today, Cubiscan continues to innovate and guide its customers to effective material handling solutions by offering the broadest range of dimension-scanning technology available.