Order Inbox Drafter | Real Minds AI
Food & Beverage /Drafting live field guide · 9 min

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.

theater/demos/food-bev_order-inbox-drafter.html · sandbox · read-only
Open
FIG. 1

The live demo, running on fabricated data. Open it to step through the full flow — every output is shown for a person to approve before anything happens.

How it would work

Reads each inbound order — email, PDF, voicemail or text — matches every line to your SKU master and the customer's pricing, and surfaces a draft sales order with every uncertain line flagged for an order processor to approve before anything reaches the ERP.

Input 01
The order inbox

Whatever arrives overnight: a free-text reorder email, a photographed order list, a price-list PDF, a voicemail transcript or an SMS — tied to a customer account in your CRM or ERP.

Agent 02
Extracts, matches, prices

Pulls customer, lines, quantities and delivery date, matches each loose product description to the closest SKU using that account's order history, applies the account's contract pricing, and checks live stock.

Output 03
A draft order, with its working shown

A structured draft sales order — each line matched to a SKU with its source cited, low-confidence matches flagged — for an order processor to review, correct and approve before it is created in the ERP. Nothing posts on the tool's say-so.

Where it works well

It does the overnight re-keying every morning, in full, and shows where each line came from.

  • Done by hand a non-EDI order runs roughly 15–30 minutes each, and transcription slips — a misheard quantity, the wrong pack size — surface as wrong-goods deliveries and credit notes days later.
  • Best for a fresh-food wholesaler or distributor whose order desk faces a daily morning crush of varied, free-text orders from hospitality and retail accounts that order outside EDI.
  • At dozens of orders a morning, the recaptured hours go back into the calls that need judgement — a substitution, an unusual quantity, a credit query — not into typing.

The slow, invisible cost is the morning re-keying: non-EDI orders arrive as voicemails, photos of a handwritten list and "send the usual," and each one is typed line by line into the ERP before the dispatch run — and it's the morning rush, not demand, that caps how many a desk can clear.

Where it works badly

It is confidently wrong when the description is ambiguous or the SKU master is stale — and a clean draft hides it.

  • Weak where a description maps to several SKUs, where the same customer says "the usual" with no list, or where a new product isn't in their order history yet. It should flag for a person, not guess.
  • Allergen-bearing substitutions (a gluten-free flour swapped for plain, a different nut paste) are a judgement and a labelling risk under the Food Standards Code, not a match — it flags, it does not substitute.
  • If most of your volume already arrives as clean EDI or a structured order portal, there is little loose text to interpret and the build isn't worth it.
The honest test

If your own order processor couldn't fill the order confidently from the message alone — without ringing the customer back — neither can this, and a stale SKU master just makes the wrong line faster, not safer.

"A couple of the unsalted butter blocks" has no quantity and no pack size; "the free-range eggs" could be the 600g or the 700g line. The tool will pick the most likely SKU and draft a tidy, professional order around a guess — that is the trap.

What it doesn't do — and shouldn't

It drafts the order. An order processor approves. That boundary is deliberate.

WHAT IT DOES
Surfaces each line beside the SKU it matched and where the line came from — email body, photo, voicemail
Flags every line it could not match cleanly, and every quantity it had to infer
Raises stock and substitution alerts where a line can't be filled as ordered
WHAT IT WON’T
Create or post the sales order in the ERP
Decide a substitution or change a customer's standing order
Confirm allergen, pack-size or lot-level details on its own

A wrong line on a food order is not just a credit note — a substituted ingredient can carry an undeclared allergen, and Plain English Allergen Labelling under the Food Standards Code makes that a safety matter, not a clerical one. Get the customer, the SKU and the quantity wrong and the consequence lands on the supplier. The accountable person stays on the decision because the consequence lands on them — not the tool.

What your data has to look like

A current SKU master, per-account pricing and order history, and live stock the draft can lean on.

44%
Typical readiness
across orgs we see, before the first job
A clean, current SKU master
Usual weak point
Per-account contract pricing
Needs shaping
Per-customer order history
Usual weak point
Live or near-live stock levels
Needs shaping
A customer master keyed to the sender
Usually ready
The real first job

The SKU master and per-account pricing are usually the weak point — full of duplicate or retired codes, with contract prices held in a spreadsheet someone maintains by hand. Getting product, price and customer data into a clean, current state the matcher can trust is usually the real first job — larger and more valuable than the extraction layer on top. Once the master data is right, every order after that drafts faster and right by default.

Right fit if…
Orders arrive outside EDI — email, PDF, photo, voicemail, SMS — and vary by customer
The morning order-entry rush is a daily bottleneck before the dispatch run
You have a SKU master and per-account pricing, or you're ready to clean them up
Dozens of recurring reorders a day from hospitality and retail accounts
Walk away if…
Most of your volume already arrives as clean EDI or a structured order portal
Your SKU master is full of duplicate and retired codes nobody owns
Contract pricing lives in a spreadsheet maintained by hand and often out of date
You need a tool that creates and commits the order without a person checking it
Open questions

The worried-buyer questions, answered straight

It can draft a wrong line — which is exactly why nothing is created in the ERP on its say-so. For each line it shows the SKU it matched, the source it read it from (email body, order photo, voicemail), and a flag wherever the description was ambiguous or a quantity had to be inferred. An order processor checks those before approving. In food supply a wrong line isn’t only a credit note — a substituted product can carry an undeclared allergen — so the person, not the tool, stands behind the order.
That mess is exactly where it earns its review step rather than its automation. It reads photos and voicemail transcripts as well as typed email, but where a description maps to several SKUs, a quantity is missing, or a customer just says “the usual” with no list, it flags the line for a person instead of guessing. The honest test: if your own order processor couldn’t fill it confidently from the message alone, neither can this.
No. It removes the overnight re-keying — the 15-to-30 minutes per non-EDI order spent typing lines into the ERP — so the order desk spends its time on the calls that need judgement: an unusual quantity, a substitution, a credit query, a customer relationship. The order is still theirs to approve. The capacity it recaptures is redirected to customer-facing work, not removed.
Current to today’s catalogue and price agreements. If the SKU master still carries a retired pack size, or a customer’s contract price changed last month and the spreadsheet didn’t, the draft will be confidently wrong on the line or the total. Stock needs to be live enough that a line which can’t be filled is flagged before the order is committed, not discovered at picking. Keeping that master data current is part of what the build maintains.
The drafting runs against your own order, customer and pricing systems within the controls you set; nothing is created, sent or committed without an approver. Customer contracts and pricing are commercially sensitive, so we scope where the data sits, retention and access with you up front. The demo here runs entirely on fabricated data — Mangrove Cafe and Mia Tran are not a real customer.
It can, which is why substitutions and unclear lines are flagged for a person rather than resolved by the tool. Swapping one product for another — a different flour, a different spread — can introduce an undeclared allergen, and Plain English Allergen Labelling under the Food Standards Code (in force across Australia from February 2026) makes that a safety matter. The tool drafts and flags; confirming the right SKU, pack and any allergen or lot detail stays with the person who approves the order.
What it takes to build
3–4 weeks · 4 phases
Reused from template~65%
Bespoke to this skin~35%
stack · Claude · OCR + transcription · ERP API · review UI
What it would cost

Fixed scope, fixed price, fixed dates.

01
Bite-sized first piece
One contained change, low risk
02
Pilot build
Most builds land here
03
Embedded support
Scale on proof

Considering this for your order desk?

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

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