ZANUS AI FOR CONSUMER GOODS — AUTOMATIONS
Describe the job in plain words — “when an order confirmation lands, file it to the retailer record and flag quantity mismatches” — and it becomes connected blocks on a canvas, running on its own, with every run visible.
Private tenant or your own server · unlimited users · FDA-labeling-conscious wording
A real flow: inbox trigger, record sources, AI compile, three outputs — drawn from a description.
Order confirmations from the inbox filed to the right retailer record, quantities checked against the quote, mismatches flagged before they become chargebacks.
Supplier COAs routed to the supplier record on arrival, lot numbers extracted, expiry dates tracked — no more hunting certificates during an audit.
A price-list update triggers drafted notification letters per distributor — correct terms, correct effective dates — queued for your approval before anything sends.
Run states live on the flow: green success, red failure on the exact block. A silently unacknowledged order becomes a fine on next month’s scorecard — here, nothing fails silently.
Your rules: queue everything for human approval, or auto-send only the categories you designate as safe — order acknowledgments yes, price letters never.
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