Powerful Ways to Use Artificial Intelligence (AI) in E-Commerce Industry

Artificial Intelligence

Artificial Intelligence (AI) has become an indispensable constituent for effective trade and commerce. It aids business entities to learn more about their customers, better adjust their goods & services recommendations, augments their shipment services, upsurge marketing competence, and much more. Many e-commerce business entities are profoundly investing in artificial intelligence to stay on top and provide the most outstanding customer experience to their buyers. Artificial Intelligence can be used in e-commerce and how numerous businesses are already implementing AI to enhance their services.

Major AI Applications in E-commerce

The following are the major applications of AI in the e-commerce industry.

Chatbots and Other Virtual Assistants

E-commerce retailers are progressively revolving towards digital assistants or chatbots to provide 24×7 support to their online shoppers. AI technologies and chatbots are getting more intuitive and are allowing an improved customer experience.

Besides providing good customer support, chatbots are enhancing the AI influence in E-commerce through capabilities such:

  • Understanding Voice-based interactions with consumers through Natural language processing (NLP)
  • Addressing consumer requirements through deeper insights
  • Self-learning competencies that assist them improve over time
  • Providing personalized or targeted offers to customers

Intelligent Product Recommendations

Product recommendations provide manifold advantages for e-commerce retailers including:

  • Higher number of returning customers
  • Better customer retention and sales
  • A personalized shopping experience for online shoppers
  • Enable a personalized business email campaign

AI Personalization in E-commerce

AI Personalization has a great impact on E-commerce marketing. Based on precise data gathered from each online user, AI and machine learning (ML) in E-commerce are deriving significant user insights from the created customer data.

For example, the AI-enabled tool, Boomtrain can analyse customer data from manifold touchpoints, including email campaigns, mobile apps, and websites to see how they are performing online communications.

Inventory Management

AI-enabled inventory management has been designed to maintain stocks based on data related to:

  • Sales trends over the preceding years
  • Anticipated or projected vicissitudes in product demands
  • Potential supply-related issues that could influence inventory levels

AI-enabled Email Marketing

that sends out marketing emails for products (or services) that are of interest to the recipient. Apart from reading more human than automated, these email marketing tools make an intelligent user analysis based on their response and are more aligned to individual customer needs.

AI-enabled Email Marketing
email marketing concept, person reading e-mail on smartphone, receive new message

AI-enabled Supply Chain Automation

AI-enabled Supply Chain Automation has a great impact on E-commerce platforms. It enables business decisions related to vendors, delivery schedules, and market requirements.

AI-based Data Analytics

 AI-based data analytics tool provides a host of advantages such as Business Intelligence (BI), customer profiles, and online sale analysis.

Omnichannel AI solutions

An AI-based omnichannel solution formulates a reliable and continuous customer experience across online as well as brick-and-mortar retail stores.

For example, AI-based omnichannel solutions from Sephora are using an amalgamation of AI and ML, NLP, and computer vision to decrease the gap between in-store and online customer experiences.

Conclusion

To sum up, AI in e-commerce is playing an important role in driving innovative solutions and customer experiences. Some of the foremost use cases of AI in e-commerce are in the field of product recommendations, personalized shopping, and inventory management.

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