Metrics
70% / Reduction in manual cataloging effort across the brand portfolio
48h / Batch turnaround time, down from seven days
95%+ / Data accuracy achieved through AI enrichment and structured QC pipelines
Overview
ABFRL operates a house of brands spanning The Collective, Reebok, Allen Solly, American Eagle, Louis Philippe, Peter England, Simon Carter, Van Heusen, and Tasva. Each brand serves a distinct customer, competes in a distinct segment, and distributes across anywhere from one to seven channels. At this level of diversity and scale, where a single business unit can process thousands of styles per season, the product catalog is the connective tissue between a finished product and a live customer listing. Inefficiency at that layer compounds quickly.
Problem
The challenge facing ABFRL was not simply one of volume. It was the compounding complexity that comes with running a house of brands under one operational umbrella.
Each of the ten brands maintained its own taxonomy, attribute standards, and cataloging workflows, with no shared infrastructure across business units
Manual enrichment and validation sat at the center of production, creating long turnaround cycles and exposing the business to data errors across live marketplace listings
The same effort was being duplicated team by team, with no centralized governance to enforce quality or consistency
Individual brands published to different channel combinations, each with its own formatting requirements, multiplying the complexity at every distribution step
Opportunity
ABFRL's leadership wanted a single, centralized system of record for catalog data that could serve as the operational backbone for all ten brands simultaneously.
The goal was not a faster version of what already existed. It was a fundamentally different architecture: one that eliminated redundant brand-by-brand data management, enforced consistent quality standards across the entire portfolio, and built a distribution infrastructure capable of adapting to the requirements of any downstream channel without manual reformatting at each step.
At the scale ABFRL operates, every day removed from the catalog cycle translates directly into earlier product visibility, faster sell-through, and a measurable competitive advantage at the point of launch.
Solution
Streamoid brought all ten brands onto a single catalog platform, giving ABFRL one place to manage product data, imagery, and channel publishing across the entire portfolio for the first time.
What changed for the teams on the ground:
Product data from existing internal systems flowed into the platform automatically, so catalog teams were no longer spending time consolidating inputs from multiple sources before they could start work
Instead of writing product titles, descriptions, and attributes from scratch, teams reviewed and approved AI-generated content, shifting effort from creation to quality control
Each brand's marketplace requirements were built into the platform, so a product ready in the system could be published to any channel in the right format without a separate reformatting step
Catalog managers could see the status of every style across every brand in real time, rather than chasing updates across teams and spreadsheets
Results
The impact became measurable within the first full production cycle.
Manual cataloging effort fell by 60 to 70 percent across the business, as AI took over the creation work and teams focused on review and approval
Batch turnaround dropped from seven days to 48 hours, meaning products reached their marketplace listings significantly faster after each seasonal drop
Data accuracy across published listings exceeded 95 percent
The platform now handles between 4,000 and 7,000 styles per month at peak, across ten brands, without a proportional increase in team size
Each brand still looks and operates like itself. What changed is that the infrastructure supporting all ten of them is now shared, consistent, and built to grow.
Sidebar Fields
Products used: Catalogix
Industry: Fashion and Retail
Brand portfolio: 10 brands
Monthly volume: 4,000 to 7,000 styles
