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Fellow AI utilizes AI-based computer vision systems and robotics to identify and track objects in supply chain operations with the aim of improving inventory performance. The company serves the automotive, electronics, healthcare, logistics, and retail industries.
Fellow AI platform's use cases in data centers include asset management, layout creation and mapping, space management, inventory location, and tracking. These use cases entail the following:
- Mapping of the data center layout in 3D and 2D and creating a CAD drawing file
- Edits, annotations, and real measurements of spaces' physical layout over a cloud-based application
- Modifications, edits, and annotations exportable as PDF or DWG file types
- Automation of inventory location and tracking through proprietary software called FellowAudit
In healthcare, the company's solution is applied in automated image collection from fixed-position cameras to scan inventory data. Images are automatically taken after a fixed period of time and processed through computer vision. More general applications in healthcare include asset visibility, shelf availability, operational accuracy, and optimization of medical supply performance.
The platform's SmartCognition can be used with an augmented reality (AR) mobile app to scan "high-density" inventory, location, text data, and expiration dates using a smartphone.
In manufacturing, the company's platform helps users in various infrastructure and automation tasks, including the following:
- Inventory control and supply chain visibility
- Inventory scanning
- Private cloud services
- Analytics dashboards
- Exception reporting
Fellow AI's platform integrates with multiple other platforms through an API. Compatible software includes SAP, Oracle, SQL DBs, Tableau, Power BI, and others.