Shadowing Practice: World’s most advanced robotic warehouse (AI automation) - Learn English Speaking with Video

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This is the world's most advanced e-commerce warehouse,

run entirely by AI robots.

This entire operation is managed by 48 BrightPick Autopicker robots.

And these robots, they handle everything from replenishing inventory to robotically picking orders and getting them ready for dispatch.

And that's how this facility,

operated by leading sports nutrition retailer,

The Feed, is able to work 24-7 and pick 50,000 items per day,

all while just using a handful of actual people.

That's right.

This is the future of e-commerce fulfillment.

And I am going to be taking you behind the scenes

to give you a closer look at the cutting-edge technology and processes that make all of this possible,

from robotic picking to human picking,

order buffering, packout, and stock replenishment.

We're even going to hear from the people who work inside this warehouse

and hear directly from them about what it's like to work alongside these robots.

So you'll definitely want to stay tuned until the end so you don't miss out on that.

At the heart of any e-commerce operation is picking customer orders.

Now, in a traditional warehouse setting,

that also happens to be one of the most grueling jobs.

I mean, imagine walking two marathons a week just to fulfill customer orders.

Well, here, we do things a little bit differently.

Think of these BrightPick auto-pickers as humans with carts moving in and out of the warehouse aisles,

autonomously picking and consolidating orders without ever getting tired or making a mistake.

So here's how it works.

The robot starts by grabbing an empty box called a tote,

which is where it will collect picked items from one or multiple customer orders.

It then heads into the storage area,

picks the necessary items from the storage totes,

and places them into the order totes,

like a diligent little shopper checking every item off of its list.

And the robot does this repeatedly until the entire order is picked and ready to go.

So how is it that these robots know exactly what to pick and when?

Well, that's all made possible by AI.

Using the data from this 3D scanner,

the AI maps out all of the individual items inside the storage tote

and identifies the optimal picking point for each item based on its size, shape, and form.

And the best part is that these robots,

they don't care what they're picking.

Whether it's a bottle, a polybag,

or something completely new, the AI technology ensures that these robots can reliably pick items,

even if they've never seen them before.

And the best part is,

let's say this robot does fumble a pick,

well, it's actually going to learn from its mistake using machine learning and improve for its next attempt.

Talk about smart.

Now, inevitably, there are going to be some items that these robots just can't pick on their own,

whether that's due to a lack of a smooth,

grippable surface, excessive weight, or an unstable center of gravity.

Well, that is where these good-to-person stations come into play.

These stations function similarly to the robotic picking,

only instead of a robotic arm moving items from one tote to the next,

A human operator steps in assisted by this intuitive user interface found right here on each robot.

And what's impressive about this setup is

that each station can handle up to four robots at one time from all four sides,

ensuring that there is zero idle time between picks for the operator.

Working with the robots is a lot different than our old location.

At our old warehouse, we had to walk around with a box and manually pick everything.

and sometimes the boxes were empty and we'd have to go find things.

So now it's much more automated.

We don't obviously have to do that anymore.

The robots do all the picking for us,

and we can just focus on packing and getting the product out the door.

Training on the system was pretty seamless.

I actually don't really remember training other than we just kind of wait for the robot to approach us,

push the button, and send it on its way.

So now let's talk about the final picking process known as pellet picking,

which is meant for fast-moving items and bundles.

Imagine you have a few best-selling products,

or you're running a promotion with a free gift for every order.

Well, storing these items within the automated system wouldn't make sense

because you'd be replenishing them almost as fast as you were picking them out,

kind of like trying to refill a leaky bathtub.

So instead, these items are stored manually in cases or on cellies,

the same way they arrive to the warehouse.

Here is where human workers step in to pick the items directly from the pallet,

and then they will place them into the order totes,

which are carried by the robot.

The auto pickers pull up to the designated pallet positions,

request items that they need on the tablet,

and the human operator quickly fetches them from behind.

This method not only speeds up the picking process for these high demand items,

but it also makes replenishment incredibly simple.

Now this also works great for kitting,

where you can have designated stations to assemble custom customer bundles that the robots then pick up.

So as you can see,

the beauty in the BrightPick solution is the seamless integration of all of these components,

from robotic picking to good-to-person and pallet picking,

all within the same system.

For example, Bolt here could start off his day with a few robotic picks,

then move on over to G2P picking,

and then finish his day by handling some pallet picks,

making this entire operation seamless and efficient.

Once an order has been fully picked,

one of two things will happen.

Either the robot can take the order tote directly to pack out,

or if the order isn't ready to go out immediately,

the robot can temporarily buffer the order tote inside the system and then retrieve it for pack out when it's needed.

This feature offers two big advantages.

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First off, it allows the robots to continue picking orders overnight while everybody else is asleep,

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ensuring that the orders are ready to be packed and shipped as soon as that first morning shift comes in.

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And second, it helps to smooth out the picking volumes throughout the day,

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reducing the huge spikes that tend to happen during peak hours.

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Both of these benefits enable this fulfillment setter to ship out more orders every day

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without having to spend more money on automation or labor.

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Now we're in the packout area,

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which is the final step before shipping orders out to customers.

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You can see that these packout stations are highly flexible,

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making it super easy to reconfigure them or add more stations.

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This adaptability combined with the order buffer makes ramping up or down for peak season incredibly straightforward.

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And check this out.

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This warehouse features a fully automated packaging machine.

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It will take the picked items and automatically package them into cartons.

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Honestly, I could watch this thing work all day.

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We were able to go from,

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you know, 50 to 100 people to completely automated with the BrightPick solution.

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Now, we had homes for all of the people that were already working here,

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so we didn't have to remove any staff because the business was growing fast enough,

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but we really could almost stop hiring.

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Like, when the police said,

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wait, we don't have to do all this walking anymore,

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and we don't need to go pick this stuff,

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and now we can focus on finishing orders properly,

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doing the transfer from the BrightPick system to our automated packaging solution.

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They were thrilled.

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So now that you've seen how orders are picked and packed,

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you're probably wondering, how is it that we replenish the inventory in storage?

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Well, that all starts here at the decanting station.

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This is where human operators will transfer items from the cases into the individual storage totes.

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The robots then take these totes and they autonomously move them back into storage.

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The robots use a technique called dynamic slotting to strategically place these totes into optimal storage locations.

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For example, items that are meant for human picking are going to be stored closer to the goods-to-person stations,

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while fast-moving items are going to be stored closer to the pack-out stations to minimize travel time.

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This system can store up to 11,000 totes using 10-foot-tall shelving,

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along with the additional pallet storage for the pallet picking.

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Now, these shelves, they can be extended higher to increase storage capacity further,

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or you can split the storage totes into smaller compartments to maximize utilization.

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At the core of the BrightPick philosophy is simplicity.

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Let the robots do the heavy lifting while everything else in this warehouse remains low-tech and straightforward.

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I mean, take the shelving, for instance.

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It's cheap, simple to assemble,

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and it can easily be moved or reconfigured.

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There's no conveyors, and there's no complicated wire guides or QR codes on the floor for navigation.

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These robots, they can navigate all on their own,

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using LiDAR and AI, all while maintaining incredible precision,

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passing within less than an inch of each other and their surroundings at speeds up to five miles an hour.

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And what's more is these robots,

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they'll stop if they see you,

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meaning there's no need for any safety sensing,

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and any certified technician or employee can step in without having to pause the entire operation.

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All of this makes this system incredibly easy to install,

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scale, or even move to a different warehouse if needed.

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The brain behind the entire operation is the BrightPick Intuition software.

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This software orchestrates all robot workflows,

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directing each robot on what task to complete and when.

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It also optimizes the travel paths for each of these robots for maximum speed and efficiency,

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ensuring that these robots take the shortest path possible without blocking or slowing each other down.

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Think of BrightPick intuition as the conductor of an orchestra,

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ensuring that every robot plays its part in perfect harmony.

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Additionally, the software tracks every tote and skew within the system,

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maintaining full visibility and control over inventory.

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It's connected directly to the warehouse's WMS system,

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and it's constantly exchanging order and inventory data,

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ensuring smooth and efficient operations.

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And that is a wrap on our tour.

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Thank you so much for joining me here on this journey into the future of e-commerce fulfillment.

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If you want to learn more about this cutting edge operation,

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be sure to check out our video case study by clicking the link in the end screen.

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Remember to hit like, subscribe and stay curious.

Uygulamayı İndir

Akıcı konuşmak için ihtiyacınız olan her şey

AI TelaffuzHer cümleyi puanla

IPA AlıştırmasıHer sesi ustalaştır

Kelime BilgisiKelime bankanızı oluşturun

Kelime OyunuOynarken öğrenin

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Inside a warehouse run by AI robots

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Bu dersin kelimeleri ve konuşma notları

Bu B2 seviyesindeki konuşma dersi “World’s most advanced robotic warehouse” videosuna dayanıyor. En çok tekrarlanan kelimeler: robot, picking, item, tote, pick. Bu videoda gölgeleme çalışması için 169 cümle ve 1813 kelime var. Konuşma bölümü 10:17 sürüyor. Konuşmacı dakikada yaklaşık 176 kelimeyle, günlük konuşmaya yakın doğal bir hızda konuşuyor. Kelimelerin yalnızca %80’i İngilizcede en sık kullanılan 3.000 kelime arasında, bu yüzden kelime dağarcığı zorlayıcı.

Bu videodaki önemli kelimeler

Videodaki en ileri düzey 15 kelime, telaffuzu ve anlamıyla:

Kelime	Telaffuz	Anlam
warehouse isim	/ˈwɛə(ɹ)haʊs/	antrepo, depo
robotic sıfat	/ɹoʊˈbɑtɪk/	robotik
inventory isim	/ˈɪn.vən.tɹi/	envanter
seamless sıfat		dikişsiz
intuition isim	/ˌɪn.tjuːˈɪʃ.ən/	görü, sezgi
bundle isim	/ˈbʌn.dl̩/	bohça, demet
automobile isim	/ˈɔː.tə.məˌbil/	otomobil, araba
bathtub isim	/ˈbæθtʌb/	küvet
diligent sıfat	/ˈdɪlɪdʒənt/	çalışkan
pellet isim	/ˈpɛl.ɪt/	top
setter isim	/ˈsɛt.ɚ/	dizgici, ihbarcı
workflow isim	/ˈwɝkfloʊ/	iş akışı
scanner isim	/ˈskænə/	tarayıcı
intuitive sıfat	/ɪnˈtjuːɪtɪv/	sezgili, sezgisel
compartment isim	/kəmˈpɑɹtmənt/	kompartıman, bölme

Duyacağınız deyimsel fiiller

Kelime	Telaffuz	Anlam
check out fiil		gözden geçirmek
go out fiil		çıkmak
speed up fiil	/spiːdˈʌp/	hızlanmak, hızlandırmak

Bu videodaki dil bilgisi

Konuşmacının en çok kullandığı yapılar, videodaki sözcüklerin aynısıyla:

Yapı	Videoda
Edilgen yapı be + fiilin üçüncü hâli — kimin yaptığı değil, ne olduğu önemli	is managed · is picked · is meant
Present perfect have/has + fiilin üçüncü hâli — geçmişte olan ama şimdi de önemli olan bir eylem	they've never seen · have designated · has been

Dikkat edilecek telaffuzlar

Konuşmacı don't, we're, you're gibi kısaltılmış biçimleri 21 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.

“th” sesleri: bathtub /ˈbæθtʌb/, thrill /θɹɪl/, marathon /ˈmæɹəθən/
“sh” ve “zh” sesleri: replenish /ɹɪˈplɛn.ɪʃ/, shelve /ʃɛlv/, intuition /ˌɪn.tjuːˈɪʃ.ən/, shopper /ˈʃɑ.pɚ/, technician /tɛkˈnɪʃən/
Uzun kelimeler — vurguyu doğru yere koyun: intuition /ˌɪn.tjuːˈɪʃ.ən/, manually /ˈmænj(u)əliː/, automobile /ˈɔː.tə.məˌbil/, adaptability /ədæptəˈbɪlɪti/, consolidate /kənˈsɒl.ɪ.deɪt/

Türkçe konuşanların zorlandığı sesler:

/w/ — dudaklar yuvarlak, /v/ değil: warehouse /ˈwɛə(ɹ)haʊs/, straightforward /ˌstɹeɪtˈfɔː(ɹ)wə(ɹ)d/, workflow /ˈwɝkfloʊ/
Kelime başındaki ünsüz kümesi — araya ünlü eklemeyin: straightforward /ˌstɹeɪtˈfɔː(ɹ)wə(ɹ)d/, scanner /ˈskænə/, thrill /θɹɪl/, spike /spaɪk/, precision /pɹɪˈsɪʒ.ən/
/æ/ — “e”den daha açık: pallet /ˈpælɪt/, manually /ˈmænj(u)əliː/, adaptability /ədæptəˈbɪlɪti/, bathtub /ˈbæθtʌb/, decant /dəˈkænt/

Bu videoyla nasıl çalışılır

Videonun tamamını konuşmadan bir kez dinleyin ve bilmediğiniz kelimeleri not edin.
0,75× hızla başlayın, cümle cümle tekrar edin ve kolaylaşınca normal hıza dönün.
Kendinizi kaydedin ve orijinaliyle karşılaştırın; warehouse, robotic, inventory gibi kelimelere özellikle dikkat edin.

Gölgeleme Tekniği Nedir?

Gölgeleme, başlangıçta profesyonel tercüman eğitimi için geliştirilen ve çok dilli Dr. Alexander Arguelles tarafından popüler hale getirilen, bilim destekli bir dil öğrenme tekniğidir. Yöntem basit ama güçlüdür: ana dili İngilizce olan bir sesi dinler ve hemen yüksek sesle tekrar edersiniz — konuşmacıyı 1-2 saniye gecikmeyle takip eden bir gölge gibi. Pasif dinleme veya dilbilgisi alıştırmalarının aksine, gölgeleme beyninizi ve ağız kaslarınızı gerçek konuşma kalıplarını eşzamanlı olarak işlemeye ve yeniden üretmeye zorlar. Araştırmalar, telaffuz doğruluğu, tonlama, ritim, bağlı konuşma, dinleme anlama ve konuşma akıcılığını önemli ölçüde geliştirdiğini göstermektedir — bu da onu IELTS Konuşma hazırlığı ve gerçek dünya İngilizce iletişimi için en etkili yöntemlerden biri yapar.

Shadowing tekniği: adım adım eksiksiz rehberi okuyun →

Shadowing Practice: World’s most advanced robotic warehouse (AI automation) - Learn English Speaking with Video

Bir pratik modu seçin

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