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 aisles Grocers who are securing the edge are the ones that are investing behind AI platforms that are designed specifically for retail.

我們離那家雜貨店並不遙遠 零售商面臨空氣挑戰，要用智能廚房與智能過道相匹配 確保優勢的雜貨商是那些專門為零售業設計的人工智能平臺背後的投資。

They're actually built on retail specific data.

它們其實是建立在零售業具體數據上的。

Over the next 2 to 3 months.

在接下來的2到3個月裡。

It learns the behaviors and the preferences of your actual customer base.

它可以學習你實際客戶群的行為和喜好。

And so in the end, what you have is highly accurate forecasting model that can help you make inventory decisions that can help you make pricing decisions and can help you design the optimal promotions that's going to ensure that your products are moving off the shelves.

所以最後，你所擁有的是高度精確的預測模型，可以幫助你做出庫存決策，可以幫助你做出定價決策，可以幫助你設計最佳的促銷活動，以確保你的產品從貨架上走下來。

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。

And 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，你可以用它來個性化客戶。

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

體驗我的智能手機營我為我精心打造的個性化折扣。

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

所以如果我點擊那個折扣，我可能會出現一個風暴應用的腳趾。

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

其實找到這些項目，現在我可以通過過道被引導顯示，亮起zai方法。

It insights need to be processed very close to where the data set sits or give you an example.

它的洞察力需要在非常接近數據集所在的地方進行處理，或者給你舉個例子。

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

這樣一來，邊緣到邊緣智能的概念就是為雜貨店業務量身定做的，因為我們希望儘可能地讓我們的數據接近源頭。

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

賈斯德斯，我們希望我們的食物從農場到餐桌的距離很短。