MayLytix
Solutions

ERP/CSV transformation

Turn exported production data into printer-ready CSVs.

MayLytix prepares ERP exports and client CSVs so operators do less manual spreadsheet work before print.

01

Problem

ERP and customer exports often arrive with the wrong columns, order, extra values, missing fields, or formatting that operators normalize by hand.

02

Production risk

Manual cleanup can hide mistakes, slow repeated jobs, and make it difficult to prove which transformation was applied.

03

How MayLytix handles it

Barcode applies repeatable filters, trims, columns, ordering, and output rules. Custom Solutions can cover recurring export logic that is specific to one workflow.

Typical workflow

A controlled path from input data to production-ready output.

The exact setup depends on the job format, but the implementation should keep the same operator rhythm: prepare the source, apply the rules, preview the output, and leave a proof record.

  1. 01

    Receive the ERP export or client CSV.

  2. 02

    Select the source column and saved pipeline.

  3. 03

    Apply filters, trims, columns, and ordering.

  4. 04

    Write the clean CSV and proof package.

Proof signals

What the handoff should be able to show.

The value of the workflow is not only the generated CSV. It is the ability to see what was checked, what changed, and which output belongs to the run.

Source and output file paths

Applied transformation rules

Rejected-row totals

Output checksums and certificate

Next step

Review one anonymized job format.

We will map where the current workflow carries risk and what a controlled MayLytix pilot could look like.