The order entry workflow
Order entry is getting a customer's order into your system of record correctly. It breaks when orders arrive as emails, PDFs and phone calls that people re-key by hand — slowly, expensively, and with every typo turning into a return or a credit.
Where it breaks
- Orders arrive five ways — email, PDF attachment, phone, a portal, the occasional fax that refuses to die — and all of them end as hand-typing into the ERP.
- A transposed SKU or quantity ships the wrong thing. The cost is not the typo; it is the freight, the restock, the credit memo and the annoyed customer.
- Orders entered after the cutoff miss the truck. The customer does not hear it as a cutoff problem; they hear it as a day late.
- Your most knowledgeable CSRs spend their afternoons as data-entry clerks instead of talking to accounts.
What it costs
Order entry is unusually measurable: minutes per order times orders per month times loaded rate, plus the fully-loaded cost of error-driven returns, plus the accounts quietly drifting to a competitor whose portal just works. Run your numbers — high-volume entry is where the calculator output gets large fastest.
The systems that touch it
The inbox, the ERP or inventory system, EDI if larger trading partners force it, credit or terms checking, and shipping. The craft is in the handoffs: parsing what arrived, validating it against the systems you already run, and writing it to the ERP cleanly.
What to automate — and what to leave human
- Automate capture: emailed POs and PDFs parsed into structured line items the moment they arrive, whatever the customer's format.
- Automate validation: SKUs matched, pricing checked against the account, credit status verified — before the order touches the ERP.
- Automate the write and the confirmation: clean orders enter the ERP untouched by hand; the customer gets an acknowledgment in minutes.
What stays human: the exception queue. Unrecognized SKUs, price disputes, credit holds and weird one-offs go to a person with the full context attached. The goal is CSRs who handle exceptions and relationships, not keystrokes.
How we measure it
- Minutes from order received to order in the ERP.
- Orders entered per CSR per day, before and after.
- Entry error rate, measured by credits and returns traced to entry.
- Percentage of orders that make same-day cutoff.
What a deployment looks like
We pull a month of real orders and time the path honestly, including the rework. The first build is almost always the email-and-PDF parser plus validation, run in parallel with manual entry until the error rate proves out — then the volume moves over. Measuring automation ROI shows how the before/after gets kept honest.
Start the measurement → · Run the cost calculator →
FAQ
Our customers will not change how they send orders.
They should not have to. The build adapts to what already arrives — emails, PDFs, spreadsheets — rather than forcing customers onto a portal they will ignore.
How accurate does automated capture have to be before we trust it?
The system should know what it is unsure about. High-confidence orders flow through; low-confidence ones queue for review. You set the threshold, and the parallel-run period proves the error rate against your current baseline — which is rarely as clean as people assume.
We are mid-ERP-migration. Wait or start?
Usually start — on the intake side. Capture and validation are built against the workflow, not the ERP, and writing to a new system later is the smaller half of the work. Tell us the timeline and we will give you a straight answer for your case.
Distribution and wholesale · RFQ response workflow · Measuring automation ROI · All workflows
Get in touch
Email solutions@ikonic303.dev to start with the measurement. ikonic303 is based in Colorado and works with clients nationwide.