Metrics
Overview
Unlike a brand managing its own product catalog, AJIO operates as a marketplace where product data originates from a large and diverse base of third-party vendors.
Each vendor submits data according to their own internal standards, which may or may not align with AJIO's taxonomy, attribute requirements, image specifications, or mandatory field rules. At the volume AJIO handles, even a small percentage of non-compliant submissions creates a significant downstream burden on operations teams.
The business case for automated quality control at the point of ingestion, rather than manual review after the fact, is straightforward. Products that fail compliance checks delay go-live, reduce sellable inventory at any given moment, and create rework cycles that scale poorly as vendor and product volume grows.
Problem
The core challenge was one of consistency at scale. Vendor-submitted product data arrived in varying states of readiness, and there was no automated system to enforce AJIO's standards before products progressed through the catalog pipeline.
Incoming product data was frequently inconsistent, incomplete, or non-compliant with AJIO's internal taxonomy and marketplace standards
Manual quality control across high daily product volumes was neither fast nor scalable, creating bottlenecks that slowed product readiness and time to listing
Validation logic existed internally at AJIO but had no mechanism for systematic enforcement across every incoming submission
Without automated classification of products by their QC status, operations teams had limited visibility into what was ready, what needed review, and what had failed, making prioritization difficult
The system needed to work across categories, meaning any solution had to be flexible enough to apply new rules without requiring significant re-engineering each time
Opportunity
AJIO's goal was to operationalize its own validation logic at scale, turning a set of internally defined quality rules into a consistently enforced, automated workflow that could handle daily production volumes without a proportional increase in manual oversight.
The broader opportunity was infrastructure that could grow with the marketplace. As vendor count, product volume, and category breadth expanded, the QC layer needed to scale with it, not become a constraint on it. Building that capability on a flexible, API-driven foundation meant AJIO could onboard new categories and adapt validation rules without rebuilding the system from the ground up each time.
Solution
Streamoid built a quality control layer that sits between vendor submissions and AJIO's live marketplace, automatically checking every product against AJIO's own standards before anything is approved for listing.
What changed for the operations team:
Every product submitted by a vendor is checked automatically against AJIO's requirements, covering product information completeness, image quality, sizing, format, and sequencing, without anyone needing to review each one manually
Products are automatically sorted into clear categories: approved, flagged for review, or failed, so the team knows exactly what needs attention and what is ready to move forward
When a product is flagged, the team steps in to review and correct it before it progresses, keeping human judgment in the process for the cases that genuinely need it
Approved products feed back into AJIO's systems immediately and automatically, with no manual export or transfer between platforms
When AJIO needs to apply its standards to a new product category, it can be set up and running quickly without rebuilding the system
Results
The deployment created a catalog quality control operation that runs daily, at scale, without manual review at the point of intake.
1,000 products are processed through automated validation every day, handling continuous vendor submissions without a bottleneck at intake
Vendor data quality improved across the board as AJIO's standards are now enforced consistently on every submission, not just the ones a team member happened to catch
Products move from submission to listing-ready status within the same production day, rather than sitting in a manual review queue
The system scales with the marketplace, meaning growth in vendor count or product volume does not require a corresponding growth in the QC team
Sidebar Fields
Products used: Catalogix
Industry: Fashion E-commerce / Marketplace
Entities: 2
Organization type: Multi-vendor marketplace
Daily throughput: 1,000 products per day
Integration model: Fully bi-directional API
