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AI Support

Businesses are incorporating AI chatbots for instant customer service at scale

Trend - Businesses are moving customer service units toward artificial intelligence. AI chatbots for customer service have complete knowledge of any trained dataset, and can deliver instant answers to any related question to any number of customers at a time. This scalability saves money for the business and time for the consumer.

Insight - Some of the largest complaints with e-commerce and online retail interactions are related to misrepresented products, the inability to ask retail workers questions, and the slow response time of online customer service agents, particularly during high-traffic times. However, many customers in this space would rather deal with these challenges than shop physically due to travel or time constraints. This means customers place pressure on brands to improve online experiences.
Workshop Question - How can your brand utilize trained AI chatbots to improve the online shopping experience, or post-sale support experience, for customers?
Trend Themes
1. AI-powered Customer Service - Businesses are incorporating AI chatbots to provide instant and scalable customer service.
2. Personalized Chatbot Solutions - Companies are using AI chatbot builders to create customized chatbots for specific use cases.
3. Gpt-enabled Digital Assistants - Companies are introducing digital assistants powered by GPT to provide conversational customer support.
Industry Implications
1. E-commerce - E-commerce companies can leverage AI chatbots to provide instant and personalized customer support, increasing customer satisfaction and driving sales.
2. Furniture Retail - Furniture retailers can use AI chatbots to enhance customer experiences by providing design advice, product suggestions, and personalized recommendations.
3. Financial Technology (fintech) - Fintech companies can implement GPT-enabled digital assistants to handle customer inquiries, improve efficiency, and provide personalized support in the financial industry.
6.3
Score
Popularity
Activity
Freshness
Patterns
Megatrends
4 Featured, 33 Examples:
43,008 Total Clicks
Date Range:
Feb 23 — Jul 23
Trending:
Warm
Consumer Insight Topics:

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