Order Inbox Drafter | Real Minds AI
Food & BeverageDraftinglive

Order Inbox Drafter

Reads orders arriving by email, PDF, voicemail, and text, extracts the line items, matches each to your SKU master, and produces a structured draft sales order — flagging anything ambiguous for a person to approve, never posting an order on its own.

realmindsai.com.au/theater/demos/food_order-inbox-drafter.html · sandbox · read-only
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How it would work

One agent, grounded in your library, with citations on every paragraph.

01 · input
Member question
02 · agent
Your agent
03 · output
Cited answer or escalation
The problem it solves

In fresh-food wholesale and distribution, orders arrive overnight as voicemails, emails, PDFs, and texts, then get retyped line by line into the ERP the next morning. The mechanism is consistent: non-EDI orders run 15–30 minutes each, transcription errors creep in, and the morning rush — not demand — caps how many a team can process.

This pattern watches the order inbox, extracts each line, and matches it against your SKU master and that customer's history to produce a structured draft sales order. It routes only the 3–5% it flags as ambiguous to a person, who approves the rest. Nothing reaches the ERP without a human click.

TA
Tracy Anthony · Co-Founder & CEO · wrote up this design
What it would take to build

Estimated build: 3–4 weeks. Most of it is template work we've already done.

Estimated build time
3–4weeks
Diagnostic · build · soft launch · review.
Reused from template
~70%
Agent shell · retrieval · audit · deployment.
Bespoke to this skin
~30%
SKU-master matching, customer-specific order rules.
stack · Make · OCR · LLM extraction · ERP API · review UI
What it would cost for your org

Fixed scope, fixed price, fixed dates.

The cost band reflects the engagement shape, not a per-feature line item. We work on fixed scope, fixed price, fixed dates — see the services catalogue for what falls inside each band.

Engagement band
A bite-sized first piece → pilot build → embedded support. Start small, scale on proof — most builds land in the pilot band.

Considering this for your org?

The honest place to start is a bite-sized first piece — one contained change, low risk. Tell us where it hurts; we’ll play it back, scope it, and show you what’s possible.

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