Problem
VDP jobs mix customer data, serial logic, and production handoffs — often tracked in spreadsheets with little proof of what was actually sent to print.
Solutions
VDP data preparation
Prepare variable data before it reaches layout and print.
MayLytix helps teams control recurring VDP jobs: planned charges, validated CSV output, and proof before imposition or press.
Production risk
Wrong ranges, duplicate values, or an unverified export can waste an entire VDP run or force last-minute layout fixes.
How MayLytix handles it
Studio plans charges and Barcode handoff; Barcode validates and transforms the production CSV. Custom logic covers rules that exceed a saved pipeline.
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.
- 01
Plan the VDP charge and code range in Studio.
- 02
Generate or import source data in Barcode.
- 03
Apply validation, transformation, and duplicate controls.
- 04
Write the production CSV with run summary and PDF proof.
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.
Charge status and finished CSV path in Studio
Read/written/rejected row counts
Applied pipeline and check-digit rules
PDF production data 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.