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Retail · E-commerce · Marketplaces

Clean data for commerce AI

Product attribute tagging, catalog data, image annotation, and document OCR, structured, consistent, and auditable.

The Data Problem

Commerce AI lives or dies on structured product data

Search, recommendations, and catalog systems need consistent, correctly attributed product data at scale, with QC that keeps every record trustworthy.

01

Product Attribute Tagging

Attribute extraction and normalization for catalog enrichment and marketplace compliance.

02

Image & Video Annotation

Bounding boxes, polygons, and labeling for product images, lifestyle shots, and video.

03

Document & Label OCR

Text extraction from receipts, labels, invoices, and packaging, structured and validated.

04

Visual Search Data

Attribute and category labeling that powers similarity search and discovery.

05

Review Moderation

Classification and moderation data for reviews, Q&A, and user-generated content.

06

Validation & QA

Multi-tier QC with batch-level reporting and label-level traceability.

Why XYNTRIQ

Consistency your catalogs can build on

Guideline-Driven

Annotation follows your taxonomy and attribute schemas, not guesswork.

Scalable Teams

Domain-matched annotators that scale from pilot to enterprise volume.

Auditable Outputs

Every batch ships with a quality report; every label is reviewable.

NDA & MSA FriendlyUdyam-Registered MSMEGST-Compliant InvoicingIndia Data ResidencyConsent-First DataAuditable QA

Prove it on your own catalog

Send a small batch of your product data, we'll return labeled samples and a fixed-scope quote.

Request a Sample Batch
FAQ

What retail AI teams ask

What retail data can you annotate?

Product images, shelf and storefront scenes, and e-commerce catalogs, with object detection, segmentation, and attribute labeling for retail AI models.

Can you collect real in-store or shopping data?

Yes. Consented POV video and image collection of real shopping and storefront tasks from vetted contributors across LATAM and India.

What makes XYNTRIQ's annotation auditable?

Multi-tier QC with full traceability: guideline-driven labeling, automated validation, expert review, and batch-level accuracy reporting on every delivery.

How do I start a project with XYNTRIQ?

Contact us with your data and guidelines. We run a small pilot batch first so you can validate accuracy before committing to full production.