Revolutionizing Digital Commerce in India with ONDC

One of the most remarkable population scale implementations of web 3.0 is happening in India in the form of ONDC (Open Network for Digitized Commerce) and this will likely forever change the world of commerce in the years to come.  

First, unlike any other commerce system, ONDC is a protocol – based on principles of complete decentralization and interoperability of ecommerce in India. The goals of the protocol are to make digital commerce accessible to the widest group and to break through dominant, tightly-coupled monopolies in commerce.

One of the challenges in implementing a nationwide protocol is existing platforms, brands, merchants, marketplaces, etc..  do not connect with one another at the cataloging data level. This is a major hindrance to interoperability as cataloging schemas are wide and varied.

The Challenges of Implementing a Nationwide Protocol

So how do we optimize cataloging for participants on ONDC?

With a variety of schemas, taxonomies, categorization, and catalog formats adopted by individual network participants, how can ONDC standardize the cataloging application to be relevant and inclusive across the protocol?

Sellers of ecommerce today need to manage an ever-growing product catalog, varying across multiple marketplaces and feed management systems. Now, this can be a time-consuming and labor-intensive process, as each marketplace and feed management system has its own unique schema and format requirements.

Optimizing Cataloging for Participants on ONDC with Eunimart

So how and where does Eunimart come in?

Eunimart’s Catalog management service is a revolutionary technology that uses natural language processing (NLP) and natural language understanding (NLU) to auto-map catalog schemas and data formats in real-time. This is centrally managed using Eunimart’s own category schema that is centrally connected with ONDC, marketplaces, and feed management schemas. This allows businesses to easily and seamlessly integrate their product catalogs across different systems, saving time and reducing the risk of errors and inconsistencies.

The service has the potential to greatly improve the efficiency and effectiveness of managing and integrating product catalogs across different marketplaces, through:-

• Real-time mapping capabilities, 
• Error detection and correction,  
• Advanced reporting and analytics

In addition to its real-time mapping capabilities, Eunimart also offers a number of other useful features. For example, it can automatically detect and correct errors and inconsistencies in product data, such as incorrect or missing product attribute or variations, grammar, and spelling. This helps to ensure that product catalogs are complete, accurate, and up-to-date.

On a parting note, our Cataloging as a Service (CaaS) is built on the most advanced AI and ML mechanics that is constantly learning and improving to greatly improve the efficiency of managing and integrating catalogs across different marketplaces and feed management systems. Imagine maintaining just one catalog set, and having it automatically adapt to the requirements of other sales channels!