Solution stories
Paints and Coatings: Shade Formulations and Batch Correction
Turning tinters’ experience into shared, approved correction suggestions.

KEY TAKEAWAYS
- Batch corrections were the hidden cost of shade variation.
- Formulation history linked to raw-material lots explained corrections.
- AI suggested starting corrections from past batches.
- Approved changes became new formulation versions.
A paints and coatings manufacturer produced many shades and spent significant time correcting batches to match standards.
This story shows how the products combined.
The situation
Formulations were in spreadsheets. Corrections were made by experienced tinters and recorded on paper. Pigment lot variation was not linked to corrections.
What they had already tried
- Relying on senior tinters.
- Tighter pigment specifications.
- Extra QC checks.
How we diagnosed the real problem
We analysed correction records for top shades.
- Corrections correlated with specific pigment lots.
- The same corrections were repeated across batches.
- Knowledge sat with two people.
The solution, product by product
No single product solved this. The value came from the products working on the same data.
| Product | Role in this solution |
|---|---|
| ASTR Production | Versioned shade formulations, batch corrections recorded and linked to lots |
| ASTR AI | Suggested correction additions based on past batches and lot properties |
| Anvaya | Pigment and resin lots, stock, tinting orders, dispatch |
| ASTR Reporting | Corrections by shade, pigment lot and supplier |
How it rolled out
- Formulation migration.
- Correction recording.
- AI correction suggestions with approval.
- Supplier lot reviews.
What changed
Correction knowledge became shared and fewer rounds were needed.
- Correction rounds per batch reduced by [X]%.
- Batch cycle time reduced by [X]%.
- Pigment supplier issues identified with data.
What we would tell a similar company
- Record every correction.
- Link corrections to lots.
- Use AI suggestions as starting points, approved by experts.
- Version formulations after approved improvements.
Frequently asked questions
Can AI match shades?
It suggests corrections from history; experts approve and measure.
Does it connect to spectrophotometers?
Instrument integration is possible. [Confirm devices.]
Is this a real customer?
It is an illustrative composite.
- #paint manufacturing software case study
- #shade matching formulation
- #coatings batch correction
- #paint plant ERP
- #colour formulation management
Trikaan Research & Engineering
Trikaan
Written by the researchers and engineers who build Anvaya, ASTR and Seed Track, with input from Trikaan's delivery and engineering teams.


