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Anglera

Turn supplier files and product sources into structured catalogue attributes, descriptions and channel-ready data.

Pricing
Contact sales for implementation and pricing
Free plan
Not publicly specified
Platforms
Web, API, Connected Business Systems

Tool Information

Anglera
Angler Technologies Inc.
Updated: September 2026
Tool type: AI Product Data Enrichment Platform
Pricing: Contact sales for implementation and pricing
Free plan: Not publicly specified
Platforms: Web, API, Connected Business Systems
Login required: Team access arranged during implementation
API: Yes; enterprise REST APIs and webhooks
Browser extension: No public browser extension verified
Mobile app: No official native mobile app verified
AI models: Not publicly specified
Developer: Angler Technologies Inc.

About Anglera

Anglera enriches product information for retailers, distributors and other organisations managing large catalogues. It takes incomplete material from supplier files, product documents and existing business systems, then prepares structured attributes and descriptions for the organisation's chosen schema. The platform is focused on product records rather than customer or CRM data.

Source-based catalogue work

Inputs can include spreadsheets, specification PDFs, product images and manufacturer websites. Anglera extracts relevant information, normalises values and helps fill gaps in a catalogue. Its workflow includes quality scoring and flags for conflicts or low-confidence values, allowing the team to set the standard that a record must meet before publication.

This is useful when source files contain inconsistent units, abbreviated descriptions or missing attributes. The enriched record can be mapped to a taxonomy and prepared for the requirements of a storefront, marketplace or other channel. The platform also supports ongoing scoring and maintenance as the catalogue changes.

Working with existing systems

Anglera can feed a PIM, ERP or governed MDM environment. Where an ERP is the product master, it can work with those item records; where a PIM sits downstream, it can populate and maintain the product content there. Teams without those systems can begin from a flat file. REST APIs, webhooks and implementation support are offered for connecting the workflow.

Typical starting points include supplier onboarding, filling a new PIM, preparing data for additional channels or reconciling catalogues during a migration. The organisation retains control over its schema and quality thresholds rather than adopting a new product system solely for enrichment.

Pricing and deployment are arranged with the company. A useful evaluation centres on representative supplier records and the exact fields the destination system requires. This helps the product data team assess source coverage, exception handling and the review work needed for its own assortment.

Managing catalogue exceptions

A supplier document may omit a measurement or disagree with another source. Anglera's scoring and flagging workflow gives a product specialist a place to review those cases instead of treating every extracted value as equally reliable. Once the organisation has defined its schema and publication rules, the same standards can be applied to subsequent supplier files. This supports a repeatable intake process while preserving expert attention for products whose source information is incomplete or inconsistent.

Key features
  • Extraction from supplier spreadsheets and PDF documents.
  • Product information retrieval from images and web sources.
  • Attribute and unit normalisation to a chosen schema.
  • Record quality scores and exception flags.
  • Catalogue taxonomy and channel preparation.
  • PIM, ERP and MDM integration with ongoing maintenance.
Use cases
Supplier onboarding,PIM population,Marketplace expansion,Catalogue migration
How to use
  1. Request a demonstration using representative product records.
  2. Identify the destination schema and required product attributes.
  3. Provide relevant supplier documents and existing catalogue data.
  4. Agree the system connection or flat-file workflow.
  5. Review extracted values and quality-scored exceptions.
  6. Set the thresholds and review rules for publication.
  7. Send approved records to the destination system.
  8. Continue checking newly added or changed products through the maintenance workflow.
Best for
Retailers, Distributors, Product Data Teams
Integrations
PIM,ERP,MDM,Akeneo,Salsify,inriver,Stibo,REST APIs,Webhooks
Commercial use
Not publicly specified; check the applicable service terms

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