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In theory, Artificial Intelligence is a sweet spot for ecommerce.  The use cases are manifold: profit-optimizing, customer-loyalty-boosting real-time pricing and promotions in the front-end.  Refresh your product assortments and prevent stock-outs by better inventory management in the back end. 

But there seems to be a paradox. Instead of crushing AI, both pure-play ecommerce stores and brick-and-mortar retailers struggle with everyday analytics, forget AI or predictions. What gives? 

Are your technology platforms holding you back?.

Instead of a set of well-integrated modern tools/platforms, your commerce site is most likely powered by a hodge-podge of products strung together with spaghetti code. The accumulated technical debt slows the progress of your omnichannel customer strategy. 

To get ready for AI, you need to line up your data ducks in a row

System silos lead to data silos.  AI use cases are a non-starter because of lack of high-quality data. 

Get in touch with us to think through your ecommerce strategy for the AI era - be it replatforming or greenfield selection.