D A R E . J B

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[D A R E . J B @DareHtr]

@Only1Cbender @OnlyLuso @thissdax @promisenakpan He knows. Everyone knows. He's just being mischievous

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@YusufAsunmogejo Go to Dubai, qatar and Saudi Arabia and see the owners of the religion doing good businesses like these. Dey here dey carry religion for head.

[D A R E . J B @DareHtr]

@gmltony 😂😂

[D A R E . J B @DareHtr]

@jalaal_tweets I just learnt something new.

[$JRD! @jalaal_tweets]

I learnt about this in my Business analytics degree and I’m going to break it down for you.

Temu isn’t shipping your order from a factory in Shenzhen the moment you tap “buy.” They moved away from that model a while back. What they run now is a demand forecasting operation: they collect order data by region, figure out which products people in, say, Yaba or Lekki keep buying, then ship bulk quantities of those products to fulfilment warehouses already inside the UK or US. Your order never left the country. It was already sitting in a warehouse 40 miles from you before you even opened the app.

This is standard supply chain logic. Amazon has been doing it for years. What makes Temu interesting is how aggressively they’re applying it at scale. They’re working backwards from purchase history, search behaviour, and even abandoned carts to predict what needs to be stocked where, weeks before the demand actually lands. By the time you order a #5000 phone stand at 11pm on a Saturday, there’s a reasonable chance 200 of those phone stands are already in a depot near you because the data said they would move in your postcode cluster this weekend.

It’s called inventory pre-positioning, and the predictive layer underneath it is machine learning working on millions of rows of transaction data daily.

The “made in China” framing still applies to where the product was manufactured. That part’s accurate. But manufacturing and fulfilment are two completely separate steps, and people keep conflating them.

What Temu figured out is that fast delivery is a conversion driver, so they invested in the forecasting infrastructure to make it possible without eating the cost of next-day air freight on every order. The warehouse does the work. The algorithm fills the warehouse.

I’m @jalaal_tweets, you’ll learn more about Data and Ai fluency if you follow me.

[D A R E . J B @DareHtr]

@khanofkhans11_ Except staged, it's hard to see a f@t woman with sense

[D A R E . J B @DareHtr]

@Kelvintalent_ Maximum respect Kelvin. You're an amazing swing trader. Your patience is inspiring.

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@adamfrankly8 @Kelvintalent_ Your name suits you

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@harper033_ I'm glad there's still a glimmer of sanity in the world

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@AdefolaluSunday @ChuksEricE Ogun go kee you

[D A R E . J B @DareHtr]

@colormeblinddd @ChuksEricE Facts. Cos even police no fit

[D A R E . J B @DareHtr]

@Isyaks1 Damnnn 😭

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@arikoshey @Bis_ade_ Make una no kee una selves on top fok

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@Dunni226245 @a4lasade This!!! A good fresh start

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@treazyblaq Naija men really have a long way to go. If you're a man and you support this crap Carter Efe did to Phyna, you need to seek help. It's a shame. Useless!

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@Swaggo_szn Of what use are you people who are complaining to him? He should leave someone he knows and interacts with personally for you online people? Online people dey craze

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@guzu_p You little boys really are mis€rable

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@FAMOUZTX @Dioslev Read the last paragraph you dunce. You can't withdraw 50m once

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@tradetheunseen @toni__iyke Omo eru. Ashunu

[D A R E . J B @DareHtr]

@stfukhaleeed @xxfw1da Very disgusting