Original article was published by Virto Commerce on Artificial Intelligence on Medium
Artificial intelligence offers many opportunities to make ecommerce systems more efficient
Artificial Intelligence (AI) in ecommerce is growing, but it is not completely mature yet. Customers expect a multichannel experience where new generation touchpoints supported by AI services are more and more crucial. They also demand more personalized channels with recommendations and engines that are predictive. An ecommerce platform can contribute to the AI transformation process and offers numerous opportunities to deliver drastic changes for companies to deal with their customers, have an impact on business transactions, efficiencya and customer loyalty. AI will certainly have an hugh impact on the way businesses purchase and sell online.
New generation touchpoints
Artificial intelligence creates genuinely new formats of ecommerce where sellers, brands and consumers communicate through AI assistants explore offerings, make transactions and receive services or help with their purchases.
The use of multiple channels, including AI assistants, allows to provide customers the user experience they prefer or need in their context. Artificial intelligence makes it possible to focus on buying with pleasure (for B2C), efficiency and to solve complexity (for B2B), or collect and transfer information. (for distribution portals).
By using artificial intelligence to analyze user behavior, preferences, feedback, and characteristics, you can predict behavior and deliver a unique, personalized experience. This helps you increase customer engagement and offers dynamic, one-to-one touchpoints.
A successful personalized ecommerce buying experience results in higher customer loyalty, trust and finally, higher conversion because a customer can partly delegate the purchasing decisions to AI and buy in a comfortable cognitive environment.
Artificial intelligence opens many opportunities in making ecommerce ecosystems much more labor efficient.
For example, using modern AI productivity tools allows to save a lot of time on catalog management. AI tools can execute data enrichment, content generation, description translations with high quality and efficiency.
Artificial intelligence can also save a lot of work in data quality control, fraud detection and many other areas.