Overview 

Online shopping offers consumers a wide range of products from various e-commerce platforms. To compare prices, users need to search multiple sites, collect and organize data, and identify identical products. This manual process is tedious and time-consuming. Similarly, eCommerce marketplace providers, business entities, wholesalers face similar issues when sourcing products and getting their listings featured along with identical products. This problem becomes more apparent especially when buying high-end electronic goods or similar product categories, products with different product/brand names in different regions, etc. Manufacturers of products worry about the boundary-less nature of eCommerce business as it creates price arbitrage situations in the online world.  

Our Innovation

Our innovation creates an automated knowledge base of products and offers from different online marketplaces. It retrieves and matches product data, enabling business opportunities in the competitive e-commerce landscape. Consumers and retailers can benefit from timely product and offer comparisons. 

Existing price comparison approaches rely on collaboration with few e-commerce players and face duplicate product issues. Our solution uses advanced technologies for data retrieval and processing, improving the reliability and performance of price comparisons. It collects data from various e-commerce sites, using a two-stage process of data discovery and matching. It finds identical products using continuous learning pipelines with multiple supervision labels, including crowdsourcing. It generates a similarity score for product pairs and displays them for offer comparisons. 

Our solution establishes an end-to-end automated pipeline in the matching architecture, integrating machine learning models and a human-in-the-loop process. This iterative approach yields improved results over time, delivering enhanced business value. 

Benefits 

• Generate market Intelligence for planning eCommerce pricing strategies. 

• Ability to gather pricing intelligence on a product based on its image and identical images. 

• Machine learning is central to this technology, which helps to provide faster recommendations and enable quicker access to information. 

• Ability to launch multipronged searches for yielding best results. 

• Help manufacturers using eCommerce as a sales channel  to reduce price arbitrage situations.

Applications

• eCommerce Consumers – Find the best deals, price watch. 
• eCommerce Vendors – Source to make maximum profits. 
• Product Placement Managers  – Tweak the pricing strategy to keep eCommerce marketplace competitive, reduce price arbitrage situations.  
• Data Training Providers – Gather the most relevant data, improve efficiency in data cleaning & tagging.   

If you're interested in this technology, please contact KTC.