Listing products on online marketplaces (e.g. Amazon, eBay etc.) is a complex and time consuming task and the lack of an efficient method of undertaking this process also leads to errors in the listings and dissatisfaction amongst buyers. This can directly affect the reputation of sellers and is a barrier to increasing sales/profits for sellers. This project will use a unified product data model, to automate the process around product listing data specific to relevant online marketplaces. The innovation is clearly aimed at the competition scope, namely the use of artificial intelligence (AI) and machine learning (ML). Research indicates that currently only 15% of product data can be automatically sourced/listed. The project’s intention and initial target is to increase this to over 50%. Its impact to both companies and customers will be: 1) Faster, more extensive, more accurate listing of products resulting in more sales, less returns and increased profitability; and 2) The development of an AI/ML engine/database that will increase accuracy and improve listing quality over time and delivering a significant competitive advantage for Volo and its users through increasing future market penetration within the ecommerce sector.
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