Chatbots don’t have to be a pain

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Hello reader,

Have you ever had beef with an AI-powered customer service chatbot on a company website? I have. It seems ridiculous to get mad at a non-sentient entity that is literally just words on a screen, but it’s incredibly frustrating.

One particular chatbot couldn’t tell me why I got a notification that my package was delivered when there’s nothing at my doorstep, and it keeps trying to give me standard prompts to choose from, with unhelpful options such as “When will my package be delivered?” and “How do I cancel my order?”

And I get even madder when it seems impossible to get a hold of a human agent to resolve my problem. It makes me feel like the company is shirking its responsibility to its customers, which is certainly one way to make me think twice about using its services in the future.

I’d like to think that, with the rise of natural language processing and all the developments we’ve had in AI in recent years, chatbots should be getting better at their job. But having a good AI model is just one part of the story, as we’ll find out in today’s premium story.

Today we look at:

• How businesses can make chatbots actually work for their customers
• A Chinese AI firm that could give DeepSeek a run for its money
• Other newsy highlights such as SpaceX’s latest moves in Vietnam and Qualcomm’s acquisition of a Vingroup AI subsidiary

Premium summary

OK, chatbot

Image credit: Timmy Loen

Businesses are investing billions into AI-powered chatbots, with banks alone projected to spend US$18.4 billion by 2028. However, the effectiveness of AI solutions depends on how they are integrated into a broader customer experience strategy.

• Limitations: AI chatbots perform well with simple, structured queries but struggle with understanding nuance. They also don’t fully comprehend context in longer conversations, complex problems, and linguistic variations such as acronyms and spelling differences.
• Some advice: True success requires looking at AI integration from a holistic point of view, focusing on more than just cost savings. Companies should choose the right AI models for their operations and ensure seamless user journeys to enhance customer experience.
• On the topic of users: If chatbots are difficult to navigate, lack clear guidance, or do not offer an easy way to reach a human agent, customers may abandon them in frustration.

Read more: How startups can make chatbots more than a digital dead end

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