There are plethora of AI methods and tools that are employed to improve e-commerce. Personalized recommendation through Natural Language Processing (NLP), Sales funneling, and prediction of demand through buyers' data analysis are among the most widely used ones. For more, have a look at this diagram from Kungfu.ai.

I am using KH Coder for content and contextual analysis, and unsupervised machine learning, of mined data. The techniques I am finding most useful are co-occurrence network, correspondence analysis, multi-dimensional scaling and self organizing map.

There are plethora of AI methods and tools that are employed to improve e-commerce. Personalized recommendation through Natural Language Processing (NLP), Sales funneling, and prediction of demand through buyers' data analysis are among the most widely used ones. For more, have a look at this diagram from Kungfu.ai.

Dear Alfred Howard Miller, thanks for your answer. It is nice to share our experience. I am going to explore the methods you mentioned and share with you my findings.

Best Regards

Dear Mila Ilieva

Best Regards

Dear Sisay Chala, thanks for sharing this important information. I like the figure you shared, it opens some of the research directions for me.

Best Regards

I really highly recommend the material prepared by McKinsey:

https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/the-executives-ai-playbook?page=industries/retail/marketing-and-sales/

After clicking on the domain circle (eg Pricing & Promotion) you will see example use cases, data types and technologies. You can also compare this with other industries (eg Banking)

I think there are a lot of AI methods and tools used to improve e-commerce: purchasing recommendations by region, timing, shopping habits, shipping and delivery optimization, positioning Product and warehouse decoration ...

Thank you Agnieszka Zdebiak for sharing this link with us.

I agree with what you mentioned Thien Duc Phan a lot of AI tools and methods are deployed to improve the e-commerce experience which has a high impact in the filed.

Dear Mohammed Hadwan,

For example, artificial intelligence and machine-learning technology are used to create applications, IT programs that act as avatars replacing people in call center departments, performing the functions of automated IT advisors posted on the websites of companies and institutions offering specific products and / or services sold via the Internet . Besides, artificial intelligence and machine learning technology can be used to improve communication in internet video conferencing applications to improve the picture and sound quality functions in these applications. Artificial intelligence and machine learning technology can also be used to automate certain activities related to the functioning and management of multiple user profiles of social media portals. Artificial intelligence and machine learning technology can also be used to search large data sets contained on many websites, including social media websites, and selectively search and filter certain types of data, perform sentiment analysis, etc., collected data on Big Data Analytics platforms and in reporting on research carried out on Business Intelligence platforms. Artificial intelligence and machine learning technology can also be used to improve the planning and implementation of advertising campaigns carried out as part of Internet viral marketing used on social media portals. Thanks to the improvement in the effectiveness of online advertising campaigns, the sales scale of products and / or services offered to consumers on online store portals and online sales and online payment platforms may increase significantly. Artificial intelligence and machine learning technology can also be used to improve the cybercrime risk management system with the simultaneous use of other Industry 4.0 technologies, including Blockchain technology as part of the online electronic banking offer developed by commercial banks, including mobile banking.

Best wishes,

Dariusz Prokopowicz

Consumers expect companies to understand their needs and expectations. Artificial intelligence can help marketers accurately understand their target audience. In search I found 7 ways to use artificial intelligence in e-marketing.

1. Chatbots: Chatbots are computer programs that have been developed to interact with customers over the Internet.

2. Dynamic pricing

3. Targeted ads

4. Data analysis: Data analysis is one of the most important applications of artificial intelligence in e-marketing.

5. Understanding customers: AI technology can help marketers know what consumers are saying about their brand.

6. Content recommendation and customization: Content recommendation is one of the best examples of harnessing artificial intelligence in e-marketing.

7. A / B tests: A / B tests are a marketing method that is based on comparing two copies of a page on a site to determine which versions customers and visitors respond best to.