And if you're like most people, you can trace many of your groceries back to the original source.

如果你像大多數人一樣，你可以追溯到你的許多雜貨的原始來源。

And so it's this farm to table sense of knowing the local grower who is responsible for your produce.

所以就是這種從農場到餐桌的感覺，知道當地的種植者對你的產品負責。

E spent a lot of time thinking about the future of the retail grocery industry.

E花了很多時間思考零售雜貨業的未來。

Today, about 10% of U.

如今，約10%的U。

S shoppers are buying the groceries online, and that's steadily increasing with new technologies like I o t.

S購物者在網上購買雜貨，而且隨著新技術的發展，這種情況正在穩步增加，比如I o t。

Like artificial intelligence, this concept of a smart kitchen that could restock itself.

就像人工智能一樣，這個智能廚房的概念，可以自己補貨。

We're not very far away from that grocery Retailers Air challenged to Match smart kitchens with Smart Isles is you think about new technologies like I O.

我們離那個雜貨店不是很遠 零售商空氣挑戰智能廚房與智能島的匹配是你認為新技術，如I O。

T.

T.

You can start to play sensors within the store, which are essentially data sponges that are soaking up all the shopper insights and behavioral patterns, and you start to look at the patterns within the store.

你可以開始在店內玩傳感器，這些傳感器本質上是數據海綿，它們吸收了所有的購物者洞察力和行為模式，你開始研究店內的模式。

Are we seeing the right conversion?

我們看到的轉換是否正確？

Are we seeing the right movements in the store to be able to make smarter business decisions?

我們是否看到了店內的正確動向，從而能夠做出更明智的商業決策？

Data is Onley useful if you can process it quickly and you can process it efficiently.

如果你能快速地處理數據，並且你能有效地處理數據，那麼數據就是安利有用的。

If you can do that, you turn data into really intelligence that you can use to personalize the customer.

如果你能做到這一點，你就會把數據變成真正的智能，你可以用它來為客戶提供個性化服務。

Experience my smartphone, competing me with a personalized discount that's crafted for me.

體驗我的智能手機，競爭我的個性化折扣，為我量身打造。

And so if I click on that discount, I could be presented with a store map toe.

所以如果我點擊這個折扣，我可能會看到一個商店地圖的腳趾。

Actually find these items, and now I could be guided through the aisles with showing that lights up a zai approach.

其實找到這些項目，現在我可以在過道上用顯示引導，點亮zai辦法。

It insights need to be processed very close toward the data set.

它的洞察力需要非常接近數據集的處理。

Sits will give you an example.

坐會給你舉個例子。

If you're standing in the produce aisle, there isn't time to send the data to an offsite processing center back to the store and then back down to the customer.

如果你站在農產品貨架上，就沒有時間把數據送到異地處理中心回到店裡，然後再下發給顧客。

So in today's era, seconds matter.

所以在今天這個時代，秒殺很重要。

In the customer experience, the future of the grocery industry belongs to those organizations that can process data at the edge of your network.

在客戶體驗方面，雜貨行業的未來屬於那些能夠在網絡邊緣處理數據的組織。

In that way, the concept of edge to edge intelligence is tailor made for the grocery business.

這樣一來，邊緣到邊緣的智能概念就是為雜貨商量身定做的。

Because we want to keep our data is close to the source is possible.

因為我們要保持我們的數據是接近源頭是可能的。

Justus.

賈斯特斯。

We want our food to travel a short distance from the farm to the table.

我們希望我們的食物從農場到餐桌的距離很短。