How it works
How Catalogica works
Six steps run as a continuous cycle: import, enrich, review, publish, measure, improve. Each cycle makes the AI more accurate on your catalog.
- Import
- Enrich
- Review
- Publish
- Measure
- Improve
Approvals improve accuracy
Import
Supplier data arrives in any format.
Feeds come in through the visual mapper, along with barcodes, PDFs, and images. A new supplier is a configuration task, not a development project.
Enrich
AI completes the record.
The engine researches, extracts, and writes every field — and attaches the source and confidence for each value, so you always know where a claim came from.
Review
Your team approves what goes live.
Review queues show exactly what changed, field by field. AI runs end to end, but nothing publishes without a human decision.
Publish
Approved records reach every channel.
Records are delivered to your shop, PIM, or files across all your market sites. Only changes are pushed, and failures are flagged for review.
Measure
Accuracy is tracked field by field.
Catalogica compares AI output with your team’s approved versions and identifies exactly where the AI gets your catalog wrong.
Improve
Error patterns become rules.
Recurring errors arrive as suggested rules and prompt changes that your team previews and approves. The next cycle starts more accurate.
Generic AI tools vs Catalogica
Most AI tools generate a result and stop. Catalogica runs a controlled workflow that improves with your team’s decisions.
Generic AI tools
- Generate text with no source attached
- Output goes straight into your catalog, unreviewed
- The same accuracy in month six as in month one
- No measurement of what they get wrong
Catalogica
- Every value carries its source and a confidence level
- Built-in review and approval before anything publishes
- Accuracy improves with every review cycle
- Errors are measured on your catalog, field by field
Accuracy improves every month.
In the first month, Catalogica runs on strong defaults: research, extraction, and generation tuned for product data. Your editors correct what needs correcting — as they would with any tool.
Every correction becomes part of your configuration: your source preferences, your phrasing, your category-specific rules. The error patterns that used to cost review time stop appearing, and the gains accumulate month over month.
Start with one supplier feed.
Book a demo and see the full cycle run on your own products.