跟讀練習: How AI is helping brands identify consumer trends faster - 通過影片學習英語口語

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When you go grocery shopping, how do you decide which products to buy, especially when there's so much choice?

Maybe it's how the product is packaged, or the ingredients, or maybe you've bought it before and it tastes great.

Finding ways to attract consumers to packaged goods is the role of the global market research industry, worth an estimated $88 billion in 2024.

The industry is expected to grow by By another $15 billion in the next four years, with artificial intelligences rise one of the major contributing factors.

One company hoping to lead that disruption is AI palette.

So AI palette helps the consumer package good companies to create products which their consumers will love.

For example, a company wants to launch a new juice in a market like Thailand.

Our platform will tell them what kind of juice they should launch,

along with how they should position it so that it is successful in the market.

And we do

that using the power of artificial intelligence by analyzing the big data around food to identify what are the latest trends.

Before co -founding AI Palette, Samsubra Gan Chowdhury worked in the fast -moving consumer goods industry

and worked closely with some of the world's largest consumer packaged goods companies.

The challenge that they always have is

that consumer preferences are changing faster than ever before

and they are not able to keep up or to understand and predict what will be popular say one year from now.

That's when I first came across AI and machine learning.

As I learned more about it, it became quite obvious to me that it's just a matter of time before AI impacts every industry.

As AI development gathers pace, so does interest from investors.

Venture capital firm 500

Global invests in entrepreneurs who they believe are building game -changing companies.

We caught up with them at Singapore Innovation Conference Switch.

Younger entrepreneurs that we're investing in, companies are being rebuilt with AI in mind.

It can, in an exponential fashion, reduce costs associated with day -to -day business activity

that otherwise takes up a lot of time and requires a lot of people.

One of the areas that we looked at was in the space of marketing, product design and creation, product research.

Get to the market faster with more confidence that the product that you launch will be successful in the market.

So today, for the companies to launch a product, it takes one to two years.

And by the time they launch the product into the market, the consumer preferences would change significantly.

Because the way it is done traditionally is by talking to a small sample of people, not only representative of that particular market.

It only tells you the trends of today.

AI Palette was founded in Singapore in 2018, and its AI platform has been up and running for the past four years.

Its clients include major food and beverage brands Diageo, Nestle and PepsiCo, as well as Simrise,

a company that works with brands to manufacture ingredients and products in taste, nutrition, health, scent and care.

AI Palette knows very well the needs of companies like Simrise,

so the platform, the capabilities are set up and established in the way

that we would want to use them is very user -friendly.

Data is pulled from many multiple different sources, so from social media, from online menus,

from product data that is online, and this is something that's of a key need for a company like Simrise, that we're able to, let's say,

easily synthesize what is happening in the marketplace and then interpret

that and have an outcome that we can then present to our customers.

consumer brand like Pringles they used our platform to understand the preferences for snacks across four different markets

South Korea and Australia which are very matured and developed markets

and then we have developing markets Thailand Indonesia

so our AI helped them to understand flavor trends and this is

that they launched quite a few products into the market

AI palette has a three -pronged approach to its cross -sectional forecasting

which includes 39 different factors to predict the future trajectory of a trend.

So a trend would start in Sequoia, and it will come to Thailand, and that will go to Indonesia and Philippines.

The other influences are in terms of like cross -category influence.

So for example, like alcoholic beverages as a category takes a lot of inspiration from non -alcoholic beverages.

And the final one is the generative AI, which helps us to create product concepts,

incorporating the latest consumer trends and in a language which would resonate better with the consumers.

What AI Pallet provides for us we could not do before, so it is something new.

We still do traditional consumer research also.

If the decision is a significant one, a large investment, we would also go back to the very same consumers and ask questions of them.

Here in the labs behind me, we still have to taste the product because artificial intelligence cannot do that yet.

Our job is not to replace the humans, but to make the lives of the humans better so

that they can do their job faster and with a lot more confidence.

The ground in AI is shifting very quickly.

The technology advances at light speed with every few months that go by.

This creates a lot of opportunities for startups to create

because this uncertain ground is fertile for innovation but it also presents risks.

We look at companies that are building resilient solutions.

They're tackling big problems that no one is maybe looking at right now or have an innovative way to actually solve.

So we think that ground is very, very right.

It's often an overlooked area.

So companies like AI Palette that take on a very specific sector, those are exactly the kind of companies that we like.

Along with VC investors, AI Palette has had the backing of the Singapore government,

which is committing more than three quarters of a billion dollars to AI development to strengthen its AI ecosystem.

What they really loved was that we are trying to disrupt a very large and a traditional industry like the CPG industry.

The companies are very traditional and there have not been much disruption.

The plan is to expand into other types of CPGs, be it home care and also maybe pet care.

We want to be synonymous with this particular category.

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本課的詞彙與口語要點

這節口語課以影片“How AI is helping brands identify consumer trends faster”為素材。影片中反覆出現的詞有：product, consumer, companies, palette, trend。這段影片共有 54 個句子、1082 個單詞可供跟讀。講話部分時長為 6:34。說話人語速自然，每分鐘約 165 個詞，接近日常對話。 83% 的單詞屬於英語最常用的 3,000 詞，其餘的詞建議在練習前先學一下。

影片中的重點詞彙

影片中 15 個值得學習的單詞，附發音和釋義：

單詞	發音	釋義
palette 名詞	/ˈpælɪt/	調色盤 /調色盤
package 名詞	/ˈpæk.ɪd͡ʒ/	包裹, 包
artificial 形容詞	/ˌɑː.tɪˈfɪʃ.əl/	人造的
preference 名詞	/ˈpɹɛf(ə)ɹ(ə)ns/	優選 /優選, 選擇 /選擇
beverage 名詞	/ˈbɛv(ə)ɹɪd͡ʒ/	飲料 /飲料, 飲品 /飲品
juice 名詞	/d͡ʒuːs/	汁, 果汁
innovation 名詞	/ˌɪn.əˈveɪ.ʃən/	革新, 創新 /創新
invest 動詞	/ɪnˈvɛst/	耗費 /耗費, 投資 /投資
predict 動詞	/pɹɪˈdɪkt/	預言 /預言
entrepreneur 名詞	/ˌɑn.tɹə.pɹəˈnɝ/	企業家 /企業家
investor 名詞	/ɪnˈvɛs.tə(ɹ)/	投資者 /投資者, 投資家 /投資家
alcoholic 名詞	/ˌæl.kəˈhɔ.lɪk/	酒精成癮者 /酒精成癮者
ingredient 名詞	/ɪnˈɡɹiːdi.ənt/	成份, 材料
establish 動詞	/ɪˈstæb.lɪʃ/	確定 /確定
solve 動詞	/sɒlv/	解決 /解決

影片中的語法

說話人最常用的結構，並附上影片中的原話：

結構	影片中的用法
被動語態 be + 過去分詞 — 強調發生了什麼，而不是誰做的	is packaged · is expected · was founded
現在完成時 have/has + 過去分詞 — 過去發生但與現在仍有關聯的事	you've bought · has been · has had

需要注意的發音

說話人用了 4 次縮略和弱讀形式，例如 we're, they're, you've。請按聽到的簡短形式來說。

“th” 音: gather /ˈɡæðɚ/, strengthen /ˈstɹɛŋ(k)θən/, synthesize /ˈsɪnθəsaɪz/
“sh” 和 “zh” 音: artificial /ˌɑː.tɪˈfɪʃ.əl/, innovation /ˌɪn.əˈveɪ.ʃən/, disruption /dɪsˈɹʌpʃən/, establish /ɪˈstæb.lɪʃ/, inspiration /ˌɪn.spɪˈɹeɪ.ʃən/
長單詞——注意重音位置: artificial /ˌɑː.tɪˈfɪʃ.əl/, innovation /ˌɪn.əˈveɪ.ʃən/, entrepreneur /ˌɑn.tɹə.pɹəˈnɝ/, alcoholic /ˌæl.kəˈhɔ.lɪk/, ingredient /ɪnˈɡɹiːdi.ənt/

中文母語者容易讀錯的音：

/v/ — 不要讀成 /w/，上齒輕觸下唇: beverage /ˈbɛv(ə)ɹɪd͡ʒ/, innovation /ˌɪn.əˈveɪ.ʃən/, invest /ɪnˈvɛst/, investor /ɪnˈvɛs.tə(ɹ)/, solve /sɒlv/
詞尾子音 — 要讀清楚，後面不要加母音: palette /ˈpælɪt/, package /ˈpæk.ɪd͡ʒ/, preference /ˈpɹɛf(ə)ɹ(ə)ns/, beverage /ˈbɛv(ə)ɹɪd͡ʒ/, juice /d͡ʒuːs/
/r/ 和 /l/ 的區別: traditionally /tɹəˈdɪʃ.ə.nə.li/, rebuild /ɹiːˈbɪld/, resilient /ɹɪˈzɪl.jənt/

如何用這段影片練習

先完整聽一遍影片，不要開口，記下不認識的單詞。
先用 0.75 倍速逐句跟讀，熟練之後再回到正常速度。
錄下自己的聲音並與原聲對比，特別注意 palette, package, artificial 這類單詞。

什麼是跟讀法？

跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。

影子跟讀法: 閱讀完整分步指南 →

跟讀練習: How AI is helping brands identify consumer trends faster - 通過影片學習英語口語

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