No ratings yet.

Group 8: Chenxuan Jin\Yuhang Liu\Jia Yan\Yongqi Jia

When we first gathered to brainstorm ideas for our group assignment, a myriad of topics surfaced, from customizing Nike products to harnessing smart home technology. However, there were some cute dog stickers on a team member’s laptop that sparked a conversation about our pets, revealing a shared love for our furry friends.

Our discussions were filled with the warmth of personal pet stories, each unique yet universally relatable. We shared the challenges of pet ownership, such as coordinating feeding schedules, managing unpredictable health needs, and the stress of finding emergency veterinary care. We believed these concerns were not just ours but were shared by pet owners worldwide.

Spotting the potential of GenAI across industries, we saw an opportunity to explore its role in pet care. Therefore, our mission is to deliver personalized, proactive solutions that enhance pet health and strengthen the bond between humans and their pets. We envision a future where AI technology deepens this bond, and we invite you to be part of this journey. To gain insights, we interviewed local pet owners, spending enjoyable time with their pets to observe their lifestyles and the challenges they face in pet care. Here are some findings from our proposal:

• We found that 58% of Dutch households own pets, indicating a strong emotional connection. The Dutch pet care market has seen substantial growth, with pet product sales reaching €515.4 million and the pet food market climbing to €1.06 billion by 2022.

• We propose a GenAI-powered pet management system designed to reduce customer churn and improve pet health. This system would feature facial recognition, health monitoring, emotion detection, and smart device control, offering personalized insights and proactive health interventions by analyzing data from wearables and feeding patterns.

• Our implementation plan is a five-step process: data collection, health monitoring, veterinary system integration, smart device control, and continuous AI learning. These steps aim to streamline pet care, enhance diagnostic precision, and ensure better health outcomes for pets.

• We found that key performance indicators (KPIs) for measuring the success of an AI project should focus on data quality, model performance, integration success, user engagement, satisfaction, and partnership effectiveness. It also should balance the user experience with backend metrics to ensure project objectives and company`s information strategy.

• However, we acknowledge potential challenges such as data security, ethical considerations, and consumer adoption. Addressing these is vital for the successful integration of GenAI in pet care.

As we bring this project to a close, we’d like to take a moment to express our heartfelt gratitude to each member of this incredible team. We’ve managed to meet our task allocations and deadlines with dedication. Your passion and diligence have not only met our goals but have exceeded our expectations. It’s been a remarkable journey. Thank you.

No ratings yet.

My remote work experience as a content management specialist for an NGO has been an exciting journey of utilizing GenAI.

The Challenge: Writing About Events Before They Happen

In my role, I am responsible for crafting articles that engage the NGO’s social media audience, covering events like conferences, speeches, and news. The challenge lies in preparing content before these events actually occur. Initially, this was a daunting task—how could I write about something that hadn’t happened yet? With only a brief outline as my guide, the task seemed impossible.

However, GenAI came to the rescue.

Training GenAI for Customized Content

To fully utilize the power of GenAI, I embarked on a training process. I give AI a role as a senior content management editor from a top-tier press company, adept at crafting press releases, tweets, and news articles. I set clear prompts: a word count, a specific tone, and a targeted audience.

(The GenAI tool I use is Kimi Chat. As an AI assistant developed by Moonshot AI, Kimi excels in language understanding and generation, especially in processing Chinese text, and has a distinct advantage in handling large volumes of text.)

Through iterative training, GenAI has become proficient at providing detailed and nuanced content. Each interaction has led to more refined outputs, reducing the need for extensive revisions. This has not only streamlined my workflow but often exceeded my expectations.

Reflecting on this experience,

• I appreciate how GenAI has not only saved time but also pushed the boundaries of what’s possible in content creation.
• I always double-check and optimize every output in order to make the content more fluid, rather than looking like it was written by AI.
• However, I constantly find myself balancing AI creativity with my own ideations. It’s essential not to rely too heavily on GenAI. Independent thinking remains crucial. GenAI can be my super assistant, but it’s my ideas that drive the final outputs.

No ratings yet.

In the age of personalization, consumers crave products and services that match their unique preferences. Customization has become a significant trend, particularly in the Fast-Moving Consumer Goods (FMCG) industry, where companies are innovating to satisfy this demand with their innovative business models. Let’s delve into some real-world examples (maybe you tried some of them before):

1. Nike By You

This platform is a service provided by Nike allowing customers to personalize and design their own Nike merchandise. On 14 October 2012 the NIKEiD App for iPhone was released on the iTunes App Store. The App is free to download and allows users to search products created by the NIKEiD and purchase items from the online store.[1]

2. iMirror for Silhouette Eyewear

iMirror is an augmented reality-based (AR) eyewear-fitting room for Silhouette Eyewear for iPad, iPhone & iPod. The Silhouette iMirror makes it possible to try on eyewear and sunglasses in a realistic environment, wherever and whenever you want.

3. L`Oreal Makeup Genius App

When it comes to makeup, most potential customers prefer to try before they buy. But the ability to test products isn’t as likely when you’re perusing the aisles of a drugstore. Recognizing this, L’Oréal wanted to revolutionize the makeup shopping experience by creating Makeup Genius[2]. The iOS app lets consumers scan their own features, browse a catalog and then virtually apply makeup before making a purchase.

Looks Fancy?

Interestingly, while these initiatives seemed promising, not all have thrived. Two of these examples have been discontinued (iMirror & Makeup Genius App) Let’s ponder two critical questions firstly: Why do people buy? How do people buy?

The answer I think lies in the experience. Imagine customizing your own Nike Air Force shoes: you can choose the color of the laces, the design of the shoe surface, and even add your name. However, the process can become overwhelming with hundreds of options, leading to decision fatigue. You might spend hours designing, only to give up. So, what can Nike do to enhance this experience with digital disruption? GenAI?

For these cases which I have learnt in my marketing strategy course which are really inspired me. Combined with information strategy course, I’ve learned that the alignment of new business models and technology is crucial. Before diving into a new model, ask yourself——Do you truly understand your customers? Do you have a mature technology to support your vision?

When Nike and L’Oreal first implemented their customization systems, the technology was in its infancy, and the internet infrastructure wasn’t as robust as it is today. It was a great idea but without the right tools, it didn’t fully realize its potential.

In summary, the new business model and technology implication should be value alignment otherwise, it will be a pitfall for both companies and consumers.

Reference:

[1] http://en.wikipedia.org/wiki/NikeID

[2] Makeup Genius app review undefined – appPicker