Operational adoption
Sierra Gorda · Mining · SierraBot Evolution · in operation
14,000 stock codes. 50 minutes.
SierraBot Evolution turned cycle counting into an autonomous capability embedded in the warehouse: more reliable inventory, less direct material handling and more human time for higher-value work.
Operational evidence
From the problem to a capability in use.
The friction
Cycle counting required four operators for 28 hours and exposed them to direct material handling.
The decision
Evolve the robot with Sierra Gorda, connecting autonomous navigation, RFID, AI and conversational interaction to the real warehouse process.
The capability
An autonomous robotic operator that moves through indoor warehouses, records inventory and provides traceability to address discrepancies and locations.
Adoption
The capability works inside plant and mine warehouses, with intelligent navigation and an interface that lets the team interact directly with the robot.
Impact
It scans more than 14,000 stock codes in 50 minutes, with 100% reported accuracy, greater traceability and less exposure to direct material handling.
Client perspective“Today these workers can focus on more relevant activities, such as preserving spare parts and components.”
Sandra Montiel · Vicepresidenta de Supply Chain, Sierra Gorda SCM
Impact
An improvement that can be defended with evidence.
It scans more than 14,000 stock codes in 50 minutes, with 100% reported accuracy, greater traceability and less exposure to direct material handling.
- Real operating context
- Traceable decisions
- Capability transferred to the team
