Product catalog onboarding with ProductiWise

The Business Need

One of India’s leading e-commerce retailer that sells over 5 million+ products online had a requirement to onboard 500,000 product SKUs per day spanning across various categories and pouring over 500 top sellers. This straight up meant the volumes involved was large and the process needed to be backed by automation. This was where ProductiWise - a platform that enables bulk product onboarding onto marketplaces in record time, served as a proprietary solution to the need.

Challenges we faced

Data feeds were not free from inaccuracy, misclassification, and lack of product information. Also, the category style guides were changing regularly as were the taxonomy categorization guidelines that needed to be constantly monitored and updated. There was a pressing need to onboard the SKUs quickly before the competitors and at the same time ensure that the compliance scores were not compromised.

How we solved the problem

‘ProductiWise’ - a platform that is designed with high levels of automation to ensure that the process flow became smoother and faster. ProductiWise made the process of product onboarding and the catalog creation hassle-free.

Its health check feature automatically checked the compliance & completeness of data against the guidelines.

The API based guideline change tracking ensured that the changes in rules were updated daily in the Health Checks.

The non-compliant feeds were rejected and the catalogs were sent back to the seller, to the vendor or a set of DIY tools with built-in automation and bulk data handling capabilities.

The validated and enriched catalogs were directly uploaded to their staging servers through APIs.


Mobius’ ProductiWise - an automated AI-powered approach to simplify the onboarding process minimized the errors and reduced the time to live by about 30% with error feedback & QA metrics, and DIY tools. The onboarded catalogs had an improved data accuracy of 98% by rectifying inconsistent, incomplete, and duplicate data through automation at the entry stage, and accepting more catalogs through simple corrections real-time.

Catalogs onboarded with 98% accuracy

Handled large volumes of inaccurate & unclassified data

Reduced time to live by 30%

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