The development of AI for B2B customers is very strong. I think that AI for B2C is under development too, e.g. the Cameo function in Snapchat, which makes a short video out of a selfie with the imposition of various effects and stickers. I wonder whether you can share some ideas for AI deployment in B2C segment? Thank you!
One that springs to mind is customer service/customer experience. By analyzing customer calls to help desk, customer emails and trouble tickets, we can find trends on common issues facing customers and then provide proactive fixes to help.
I guess the best job for AI today is garbage separation- glass, paper, plastic, food waste , toxic batteries etc. It is much more efficient then asking millions of people do that.
Interesting. Could you elaborate how you plan to make this work? Are you thinking of a mechanised robot arm with computer vision that “sees” every bit that is “clasped” by its arm and move to the right bin? This itself is a slow process and with millions of items to be separated in a large garbage fill of a city, this does not appear to be feasible every day.
AI has already been very actively serving consumers for many sectors and more to come. Its like a layer on the technology within technology , with the advent of 5G and accurate data science AI will convert most of the existing services in to much accurate and faster ones.
In the future, artificial intelligence (AI) appears likely to influence marketing strategies, including business models, sales processes, and customer service options, as well as customer behaviors. From telecom & consumer industry perspective I can give few examples of already available services & future services going to be available:
No Industry Service type
1. Customer Service Chatbot (Self-care)
2. Marketing AI – Power advertising
3. E-commerce & Retail 1. Chatbots and other virtual assistants
2. Intelligent Product Recommendations
3. Inventory Management
4. Cashless no counter
5. AI enable supply chain
6. AI based data analytics
7. Omnichannel AI solution
Call center calls is a big use case for AI. If we have a large corpus of “good” and “bad” calls, the AI can highlight the “bad” calls for managers to review so they can help with training. the correct call center agent action can also reduce churn.
I think it is the other way round. That AI is more evolved in B2C services than B2B, simply because of the volumes available in B2C for machine learning. For example face recognition to open a phone or Alexa’s voice recognition to start music or spotify or netflix recommendation engines are all AI in B2C space. What are the B2B applications you think are already as mature?
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