Artificial Intelligence in eCommerce
eComchain’s built-in-AI uses advanced data analytics algorithm presenting the right offers, product recommendations, and relevant search results to shoppers from the moment they land on your site. Data science engine analyzes data available along with shopper context data (e.g. latest search, past orders, click stream, last product viewed) to present the product recommendations and other useful information prompting or enticing the customer to make the purchase.
Get real insights into the way customers shop by analyzing reports built by eComchain team, highlighting products sold or abandoned in a cart.
Using dashboard-based reports, merchants can quickly assimilate useful analytical reports from different storefronts (under the same organization), different segments of users to optimize engagement, sales, and order values. Combined with integrated product recommendations, intelligent search, and audience’s personalization, eComchain makes shoppers feel known and valuable.
Other eCommerce platforms rely on 3rd party data science algorithm or applications to provide details or reports around user behavior, which are not as vast or complete as eComchain’s dataset. Additionally, 3rd party algorithms are harder to create datasets with connected experiences across commerce, marketing, and service, lacking the control that merchants need.
They lack advisory controls, the ability to impact the algorithm/results and it is unclear if their commerce AI is anything more than relevant search and product recommendations.
Coercing merchants to find a bolt-on solution from a third party adds to IT costs, complexity, siloed data, and the inability to test anything other than cosmetic changes. On the other hand, eComchain’s reporting capabilities guides optimizations with plenty of suggestions.