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Grab & FoodPanda (Lim Jing, Alyssa, Devin, Yuan Xiau, Timothy)

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Grab & FoodPanda (Lim Jing, Alyssa, Devin, Yuan Xiau, Timothy)

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Zalora product

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Samsung (Catherine, Joey,William,  Pravena , Wei yu, Hailiang)

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Samsung (Catherine, Joey,William,  Pravena , Wei yu, Hailiang)

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What quality failures led to the Galaxy Note 7 crisis? The battery overheated and caught on fire. Because Battery A was negative electrode deflections. The second manufacturer’s product Battery B, suffered from abnormal ultrasonic welding burrs. Meaning whenever the phone overheated usually the negative electrode is supposed to stay in place, but because of the malfunction its was bending and causing it to be able to be on fire.

How did Samsung handle the crisis, and what could it have done differently?

Samsung creates battery advisory group and designs an 8-point battery safety system

The company created a battery advisory group that includes leaders from various universities and specialized consultants. Battery Advisory Group members include: Clare Grey, a professor of chemistry at the University of Cambridge; Gerbrand Ceder, a professor of Materials Science and Engineering at UC Berkeley; Yi Cui, a professor of Materials Science and Engineering at Stanford; and Toru Amazutsumi, CEO of Amaz Techno.

Going forward, Samsung has a new quality assurance process that both Samsung and its component manufacturers must follow. It has implemented a multi-layer safety measures protocol at the product planning and a new 8-point battery safety system.

How can companies prevent such quality issues in the future?

Samsung needs to use better quality raw materials to make accessories and check every part more carefully ，extend the testing period for new phones before releasing new phones. Samsung also needs to improve its design strength and phone quality so that can reduce quality issues in the future.

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Starbucks

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1.What role does software quality play in modern vehicles, especially those with autonomous or semi-autonomous features?

-When it comes to software quality, autonomous cars are mostly reliable system wise (if it doesn't have software malfunction) compared to semi-autonomous which will rely on humans even though it has it's own system roleplay.

2.Why did Tesla facerecall.in China but not necessarily in other markets?

competitive China market

China is one of the critical locations for Tesla, and the company has a large production and sales volume in China. Shanghai Gigafactory is the largest factory for Tesla, with an annual capacity of over 950,000 production units.

Specifically, in July 2024, the company sold 74,117 China-made electric vehicles, 15.3% higher than the previous year. However, the competition in China is stiff. Chinese firms such as BYD, NIO, and XPeng are advancing quickly and making more affordable EVs

More stringent safety standards: China likely has stricter regulations governing things like:

- Testing procedures: Vehicles may have to undergo more rigorous tests before they're allowed on the market.

- Performance standards: Vehicles might have to meet stricter performance standards related to braking, acceleration, and other safety-critical aspects.

- Software and hardware requirements: There might be more detailed requirements for software and hardware systems that ensure they meet certain safety criteria.

- Faster and more proactive enforcement: Chinese regulators are likely more likely to investigate potential safety issues and initiate recalls even if there haven't been any reported accidents. This proactive approach is aimed at preventing potential problems before they become major issues.

3.What does this say about global quality standards?

software bugs such as blurry cameras and opening hood by itself, People are getting offended due to purchase of the tesla products and the image of tesla cars getting spoiled as well. this issue may cause decreasement in purchases of tesla among people.Tesla has recently had a large recall in china primarily due to software issues that will market sells will be affect china

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rajesh and fathimah

How does the use of generative AI in Amazon Connect improve the quality of customer service?

Amazon Connect enhances customer service with generative AI through:

Automated Customer Segmentation: AI groups customers based on similarities for personalized, timely outreach.

Amazon Q in Connect: An AI assistant that enables automated, dynamic self-service experiences.

AI Guardrails: Customizable controls to ensure AI-generated content aligns with company policies and protects customer interactions.

Agent Evaluations & Contact Categorization: AI-powered tools help managers track performance trends and improve training.

Wide Adoption: Used by major companies to support over 10 million daily interactions, improving service quality while reducing costs.

Yash and adam -

What are the potential challenges of using generative AI in customer service, and how can companies ensure a balance between automation and the human touch?

Yash

- Struggle to deliver data, which affects the progressive interaction between customers and Amazon connect.For example, ai can't give exact customer needs which can be done with human supervision.

- Technical malfunction. Relying on certain services without human supervision could be risky. For example purchasing a product without having human supervision can lead to error and customer dissatisfaction.

. Dealing with security and data privacy concerns. Some data and privacy can be leaked. So the customer cannot completely rely on Ai to keep their data safe. For example, bank details, personal identification and etc.

Adam-Offer Customers a Choice

• Allow customers to choose between self-service options and human assistance.

• Some customers may prefer quick Al-driven solutions, while others need human interaction for reassurance.

Vsha and bava -How can generative AI contribute to continuous improvement in customer service operations?

How to Improve AI Customer Service

1. Customer Feedback

Amazon Connect has new enhancements that help contact center managers quickly spot important trends in customer feedback and identify agent coaching insights.

2. ⁠Train AI

sharing all relevant customer data and context gathered, and enabling the agent to continue the conversation seamlessly without requiring the customer to repeat information or AI repeated asking the same question.

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1. Rinoshini

2. Nayenii

3. Shafarina

4. Priyatarshini

5. Fadhila Azrin

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ARINETHA AND YANYI

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Gaitreeya ✨

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Dave

Danial

Danny

Musyarraf

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A’ayisha

Syafiqah

Cai qin

Yie ern

Yanyi