These are the operational scenarios the Replay Optimization Engine is being built for. None are deployed today. The first public-data demonstration is scheduled for November 2026.

Anticipating demand bottlenecks and repositioning units to reduce empty cruising time.
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Sustaining fleet coordination and local decision-making during network outages or connectivity dead zones.
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Maintaining coordination for mid-size closed-loop fleets in environments with unstable connectivity (e.g., smart ports, industrial campuses).

Re-allocating capacity when a localized spike in demand is detected.

Planning efficient coverage paths without relying on a centralized dispatcher.

Incorporating local state-of-charge data into routing logic to reduce the risk of cascading downtime.