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Overview

Your product catalog is the master list of all products your organisation sells or distributes. It is the primary source of truth for product matching during extraction — when Go Autonomous processes a request, it looks up extracted product numbers against your catalog to auto-populate names, prices, units of measure, and other details. The better your catalog is maintained, the more accurate and complete your extractions will be.

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How the product catalog improves extraction

A well-maintained catalog enables several powerful features in Flow:
  • Auto-completion — when editing a product number, the system suggests matches from your catalog as you type.
  • Validation — extracted values are checked against the catalog. Mismatches are flagged for review.
  • Enrichment — once a product number matches, related fields (name, price, unit of measure) are auto-populated automatically.
Outdated catalog data can cause incorrect auto-completions and missed validations. Schedule regular catalog updates to keep your data current.

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Catalogs and areas

Product catalogs can be uploaded per area. This lets different teams or regions work with their own product data — for example, different price lists or product ranges per business unit. When Go Autonomous processes a request, it uses the catalog assigned to the request’s area. If no catalog has been uploaded for that area, it falls back to the Default catalog automatically.
Always maintain a Default catalog as a fallback. Any area without its own catalog will use the Default.

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Upload a catalog

1

Open the Product Catalog page

Navigate to Administration > Company Settings > Product Catalog in the left sidebar under Data.
2

Prepare your data file

Format your catalog as a CSV or Excel file with defined column headers. The catalog typically includes: product numbers (SKUs/part numbers), product names, descriptions, pricing, units of measure, and categories.
3

Select an area

Choose which area this catalog applies to, or select Default to upload a catalog used as the fallback across all areas.
4

Upload the file

Click the upload button and select your file. The platform validates the data format and reports any errors before importing.
5

Map your columns

The platform auto-maps columns whose headers match a field in your configured field settings — these are marked with a ✨ sparkle indicator. Hover the indicator to see which fields a column will map to (and under which configuration). Review the mappings and adjust any column the platform couldn’t match automatically.
6

Review and confirm

Review the uploaded data for accuracy. New entries are added and existing entries are updated based on matching product numbers.

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Auto-mapping of columns

When you upload a catalog, the platform inspects each column header and tries to match it to a field defined in your field settings. Matches are normalised — case, spaces, and separators are ignored — so headers like Product Name, product_name, and productName all resolve to the same field. Auto-mapped columns are marked with a sparkle icon (✨) in the column mapping step. Hover the icon to see:
  • Which field the column maps to (its display name).
  • Which configuration the field belongs to — useful when the same field ID is reused across multiple field configurations for different areas.
You can override an auto-mapping by selecting a different field from the dropdown, or leave it as-is to accept the suggestion. Columns that don’t match anything in your field settings stay unmapped until you map them manually.
Standardise your CSV/Excel headers to match the field IDs in your field settings. The closer your headers are to the canonical names, the more columns are auto-mapped — leaving you with fewer manual mappings to review on every upload.

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