Logistics & Warehousing
Converting fixed tracks into flexible, intent-driven operations.
Traditional warehouse vehicles (automated guided vehicles and autonomous mobile robots) rely on static maps and fixed localization. When a pallet is misplaced or an aisle is blocked, the system fails because it cannot reason about the change.
Beyond Computer Vision
Traditional warehouse vehicles rely on static maps and fixed assumptions. When a pallet is misplaced or an aisle is blocked, operations need a clear way to understand the change.
What semantic navigation means.
Xolver helps teams reason about movement in context: what needs to move, where the constraints are, and when a route should be reviewed before work continues.
Changing Conditions
- Understand blocked aisles and changed layouts
- Keep exceptions visible to operators
Policy Alignment
- Reflect site operating rules in the review flow
- Preserve context for follow-up decisions
The Architecture of Refusal.
The challenge in logistics is not just finding a path. It is deciding which options still make operational sense when conditions change. Xolver helps keep that decision reviewable.
Make warehouse movement easier to review.
FAQ
Does this require new warehouse infrastructure?
The goal is to reduce dependence on brittle infrastructure assumptions such as rigid markings or fixed route logic, not add more of them.
Can the system handle temporary congestion or route ambiguity?
Yes. The system is designed to reason over changing traffic and route conditions while still staying inside policy and safety constraints.
What happens if no acceptable route exists?
The system should refuse the maneuver, log the reason, and escalate instead of forcing a path that violates route policy or safety boundaries.