Zee Chat · Use case
Assist users in real-time
During drops and sales, latency is conversion. Shoppers compare you to instant apps; a chat that stutters feels like a store with a locked door.
Why speed is a trust signal
Slow first tokens feel evasive during inventory spikes. Typing indicators and streaming answers set expectations, but only if backed by infrastructure that survives traffic surges.
Caching catalog slices and rate-limiting expensive tools prevent meltdowns without freezing the UX.
Campaign playbooks
Pre-load likely questions: launch times, discount stacking, return rules for sale items. Route payment and fraud questions to humans proactively.
Throttle non-buyer spam so real customers stay first in queue.
Observability
Zellio surfaces latency, error rates, and model failures per workspace so teams can scale support before Twitter does it for them.
Realtime is not vanity—on hot days it is margin. Plan capacity the way you plan inventory.
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