A Brief History of Price Update (Part 2)

Reading Time: 7 minutes

Here we go again.
This is the second episode of our docuseries about how we are managing retailers’ data for our beloved customers.
If you did not read our previous post about this topic, you should spend a few minutes catching up on it.
With this part, we would like to introduce the hidden aspect of our product and I promise, it is not a buzzword: Machine Learning.
In the following paragraphs, we are going to show new technical improvements and the analytics aspects under the hood.

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Another of our projects goes open-source: Uppy!

Reading Time: 5 minutesTL;DR: We developed Uppy, an on-premises way to distribute Android and iOS apps via the open web. The SDK for iOS is here and the one for Android is here, whilst the backend will be published later because it needs a bit more polishing! 😜

I’m so excited to unveil this project publicly that I’d like to go straight to features, but first, let me introduce some of the backstories!

Why we built Uppy

As you may already know, internally we are developing two apps: one for customers and one for shoppers and while the first one is publicly available on major stores, the other one has very specific needs that can’t be achieved on those platforms.

Specifically, we value the shopper app as a Working tool with a capitalized “W”, meaning that the app should be not only as efficient as possible but updates must be on-point and align with regulations and new features in a timely fashion.

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A Brief History of Price Update.

Reading Time: 6 minutes

Hold onto your seats; I am going to guide you around our brief history of the price updating process.
Prices must be updated every day, following our Retailers procedures to provide the best experience to our customers.
If you think it should be a simple procedure, consisting of just updating the right record and go on with the next one, I totally agree with you!

When we were in the start-up phase back in the days it was that simple, but soon we had to forget about doing it this easily when we had to scale it up from a few thousand updates to millions.
In the next paragraphs, I will show you the evolutions of this process during the years.

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Kiwi, searching the smart way

Reading Time: 4 minutes

Kiwi logo
Kiwi – our smart search

Today we’ll discuss about the leap Everli (formerly Supermercato24) took regarding the search engine. 🔎

Why?

The journey began with the search engine being based directly on the data we had in our MySQL databases.

Back in 2017, Everli (formerly Supermercato24) started growing, reaching 150k unique products in more than 1000 categories.

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