How Import and Export Masks Cut Double Entry Between ERP and the Floor

Import and export masks cut double entry by moving order and routing data between your ERP and the scheduling engine through a saved field mapping, so nobody re-keys anything. In EDGEBIC by User Solutions, you define once which ERP column feeds which scheduling field, and every future import reuses that mapping. Orders flow in without retyping, the schedule exports back the same way, and the transcription errors that come from manual re-entry disappear because the data moves through the mask rather than through a keyboard.

This post is about the payoff of not retyping your data. For the full return picture, see the EDGEBIC results guide. For the mechanics of the mapping, see import masks explained.

The Hour Nobody Should Be Spending

Walk into most shops running a scheduling tool alongside an ERP and you will find someone whose morning starts with retyping. They open the ERP, read off the day's orders, and key each one into the scheduling spreadsheet: part number, quantity, due date, customer. It takes an hour, and it is the same hour every day.

That hour is pure waste in two ways. It consumes a skilled person's time on data entry that adds nothing, and it introduces errors, because manual transcription is the most error-prone step in the whole chain. Every field retyped is a chance to transpose a quantity, fat-finger a due date, or mistype a part number, and any one of those turns a correct order into a wrong schedule.

The wrong schedule is worse than the wasted hour. A transposed quantity schedules the wrong amount of work. A mistyped due date prioritizes the wrong job. The error made at the keyboard propagates through every decision the schedule drives, and nobody notices until the shop builds the wrong thing.

What a Mask Actually Does

An import mask is a saved mapping between your ERP's exported data and the scheduling engine's fields. Your ERP exports orders as an Excel, CSV, or database extract. You define once which column in that extract feeds which scheduling field: this column is the part number, that one is the quantity, that one is the due date. You save the mapping, and every future import reuses it.

After setup, importing the day's orders is running the mask, not retyping the data. The numbers arrive exactly as the ERP holds them, because they were never retyped, only mapped. The hour of transcription becomes a few minutes of running an import, and the transcription errors go away entirely. See cleaning your data before importing for how to prepare the extract.

The export side works the same way. Once the schedule is built, you export promised dates or completion status back to a format your ERP can read, so the data flows both directions without re-keying either way. See exporting the schedule back to your ERP.

Masks, Not a Certified Connector

It is worth being precise about what this is. An import mask is a flexible mapping to whatever your ERP can export. It is not a certified, turnkey connector to any specific ERP product, and it does not pretend to be.

That is a strength, not a limitation. A native connector depends on a vendor building and maintaining a dedicated integration for your exact ERP, which may never happen and which locks you to a version. A mask works with any ERP that can produce a data extract, which is nearly all of them. You map the columns you actually have, save the mapping, and reuse it. You are not waiting on anyone to build you a connector, and you are not stuck if you change ERP systems, because you just remap the columns. See import masks explained for the setup in full.

A Concrete Example

Your ERP has no scheduling module, and the vendor has quoted you nothing but a long wait for a connector.

Today, someone exports the open orders to a spreadsheet, then retypes them into the scheduling spreadsheet each morning. One hour, several mistakes a week, and every mistake a potential wrong build.

Instead, you export the same orders from the ERP as you already do, then import that spreadsheet through a mask. The first time, you spend twenty minutes mapping the columns: part number, quantity, due date, routing reference. You save it. Every morning after, running the import takes a few minutes, and the data lands exactly as the ERP holds it.

The person who used to re-key spends that hour planning. The weekly transcription errors stop. The same clerical loop runs in the other direction when a shift-end paper sheet gets typed in the next morning, which is what capturing start and stop at the machine removes. And when the schedule is done, you export the promised dates back to a format the ERP reads, so sales and customer service see the same dates the floor is running. The two-way flow exists, built on exports and imports your ERP already supports, with no connector and no vendor dependency.

The Return Adds Up in Two Columns

The value shows up as recovered time and prevented errors, and both are easy to total.

The recovered hour is the visible win. An hour a day is roughly a full week of a person's time every two months, spent on data entry that a saved mapping does for free. The prevented errors are the larger win, because a single wrong build costs far more than the hour that caused it. For the wider planning-time benefit, see how EDGEBIC shortens the planning cycle.

Getting the data in cleanly is also the foundation for everything else the schedule does. A finite-capacity plan is only as good as the orders it is built from, so removing the re-keying step protects every downstream benefit. For that broader picture, see what is production scheduling.

Want to see your own ERP export mapped into a working schedule? Bring a sample extract to a demo and we will build the mask with you.