DOCKWARE
Summary of public USPTO data
- Owner
- Dockware LLC
- Status
- Live/Registered
- Serial number
- 99308910
- Registration number
- 8419034
- Filing date
- 2025-07-29
- Registration date
- 2026-09-01
- International classes
- 9, 42
Goods and services
Class 9
- Computer hardware for processing positioning data
- Computer hardware for capturing shipment dimensions, condition, and identification data via mounted sensor systems used in warehouse or freight environments
- Downloadable software for automating shipment measurement, condition verification, cargo counting, and integration with third-party dock management systems
- Downloadable software in the nature of a mobile application for mobile devices to scan freight, generate digital shipment twins, and transfer logistics data to cloud platforms
- Downloadable software for mobile devices used to scan freight, generate digital shipment twins, and transfer logistics data to cloud platforms
- Downloadable software for capturing shipment dimensions, condition, and identification data via mounted sensor systems used in warehouse or freight environments
- Downloadable software for creating, storing, analyzing, and sharing digital shipment twins, including freight dimensioning, condition assessment, barcode and symbol recognition, and logistics intelligence
all the foregoing excluding downloadable software for use in containerization of applications, sharing container images, containerized image management, containerized image testing, cloud-based software image development, forming hardened images, software lifecycle management, managing software image builds, and managing local execution of LLM inferencing
Class 42
- Design and development of software and hardware for creating, storing, analyzing, and sharing digital shipment twins, including freight dimensioning, condition assessment, barcode and symbol recognition, and logistics intelligence
- Design and development of software and hardware for automating shipment measurement, condition verification, cargo counting, and integration with third‑party dock management systems
- Providing temporary use of a non-downloadable web application for creating, storing, analyzing, and sharing digital shipment twins, including freight dimensioning, condition assessment, barcode and symbol recognition, and logistics intelligence
- Providing temporary use of on-line non-downloadable cloud computing software using artificial intelligence (AI) for creating, storing, analyzing, and sharing digital shipment twins, including freight dimensioning, condition assessment, barcode and symbol recognition, and logistics intelligence
- Providing temporary use of on-line non-downloadable software for creating, storing, analyzing, and sharing digital shipment twins, including freight dimensioning, condition assessment, barcode and symbol recognition, and logistics intelligence
- Design and development of artificial intelligence (AI) software for automating shipment measurement, condition verification, cargo counting, and integration with third‑party dock management systems
- Design and development of artificial intelligence (AI) software for creating, storing, analyzing, and sharing digital shipment twins, including freight dimensioning, condition assessment, barcode and symbol recognition, and logistics intelligence
- Design and development of artificial intelligence (AI) software for capturing shipment dimensions, condition, and identification data via mounted sensor systems used in warehouse or freight environments
- Design and development of artificial intelligence (AI) software for mobile devices used to scan freight, generate digital shipment twins, and transfer logistics data to cloud platforms
all the foregoing excluding design and development of, or providing temporary use of on-line non-downloadable cloud computing software for use in, containerization of applications, sharing container images, containerized image management, and containerized image testing, cloud-based software image development, forming hardened images, software lifecycle management, managing software image builds, and managing local execution of LLM inferencing