Serial algorithms
Client-specific serial logic, check digits, checksums, or range allocation.
Custom Solutions
When Studio and Barcode are close — but not quite enough.
Most recurring jobs fit Studio charges plus Barcode pipeline sets. Custom work is for rules, validators, or handoff steps that cannot be saved as a standard preset yet.
Where custom work helps
When spreadsheet handling becomes risky or too slow.
Custom work is strongest where the same job shape returns repeatedly, but the rules are too specific for a saved Barcode pipeline set or a Studio handoff alone.
ERP conversion
Export logic beyond a saved Barcode pipeline — stable columns, order, and client-specific cleanup.
Preflight validators
Catch missing fields, malformed barcodes, overlaps, and out-of-range values before production.
File handoff
Create local file-drop workflows and operator tools for repeatable production steps.
Service path
Custom work starts with one production workflow.
The first step is not a broad software project. We map one recurring job format, identify the risky handoff points, and decide whether the right fit is Studio, Barcode, custom logic, or a combination.
- 01
Workflow review
Understand one recurring anonymized job format, current manual checks, and handoff points.
- 02
Risk map
Identify duplicate, range, order, check-digit, and handoff gaps before production.
- 03
Pilot workflow
Apply Studio, Barcode, and custom logic to one repeatable production workflow.
- 04
Quote
Scope the suite, setup, training, support, and custom work around the real production need.
Typical custom workflow
The output still lands where your print workflow expects it.
Custom MayLytix work prepares the data before downstream systems receive it. The goal is a safer input file, clearer proof, and less manual uncertainty.
- 1 ->
Client or ERP data
- 2 ->
MayLytix validation, generation, and transformation
- 3 ->
Production-ready CSV plus proof
- 4 ->
Layout, imposition, and print production
- 5
Printed labels
Start small
Bring one recurring data problem.
We can review one anonymized job format and identify whether the right fit is standard MayLytix tooling, custom logic, or a combination of both.