ZANUS AI FOR E-COMMERCE & RETAIL — AUTOMATIONS
Describe the job in plain words — “when a return request arrives, read the order and the policy, draft the RMA and the customer reply” — and it becomes connected blocks on a canvas, running on its own, with every run visible.
Private tenant or your own server · unlimited staff users · the chat never invents a product or price

A real flow: inbox trigger, order and policy sources, AI compile, outputs queued — drawn from a description.
Return request arrives → the AI reads the order record and the return policy, drafts the RMA and the customer email, and queues both for your CX lead’s approval.
New review lands → the AI drafts a reply in your brand voice — grateful for the five stars, concrete about the two — and files it for approval before anything posts.
Every day at 7 AM: orders stuck, shipments late, payment flags — compiled from your records into one digest your e-commerce manager reads with the first coffee.
Run states live on the flow: green success, red failure on the exact block. In peak season, a silently broken order-confirmation flow costs real money by lunchtime — here, nothing fails silently.

Your rules: queue everything for human approval, or auto-send only the categories you designate as safe — order confirmations yes, refund decisions no, for example.
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