Knowledge base

Stream handoff latency brief

Operational signals that show whether a live-commerce warehouse handoff became unstable because stream-close orders arrived too late, wave tags drifted, or the first intake note was published after the queue had already surged.

Claim

Stream-to-warehouse handoffs are more reliable when teams review the cutoff freeze time, tagged spillover, and first intake latency together instead of treating them as separate stream or warehouse issues.

Cutoff freeze time: Timestamp when the stream handoff cutoff was locked for the first warehouse wave

This shows whether the team actually froze the queue boundary before the stream-end order surge hit.

Tagged spillover volume: Orders redirected into the next wave after the cutoff was declared

The spillover count reveals whether continuous wave tagging kept later orders out of the first handoff package.

First intake latency: Elapsed time between cutoff freeze and warehouse receipt of the first handoff package

This measures whether the release note and intake packet reached the warehouse quickly enough to preserve the first-wave boundary.

Operational implication

Teams should compare cutoff freeze time, tagged spillover volume, and first intake latency in one review so stream-close instability becomes a measurable handoff rule before the next live session.