Blog / How Konji Uses News Data to Forecast Shopping Trends

How Konji Uses News Data to Forecast Shopping Trends

NewsMesh Team··4 min read

Konji is a shopping app that brings thousands of brands into one place, with one bag and one checkout, and pays shoppers credit as they browse and shop. Konji uses NewsMesh's real-time news data to see shopping trends forming early, so the right products are in front of shoppers when they start looking for them.

Why does a shopping app need news data?

A shopping app needs news data because what people buy follows what's happening in the world. A product launch, a viral outfit, a heat wave, a playoff run or a holiday on the way each gives shoppers a reason to want something, and each of those moments is written about before it shows up in a shopping cart.

For a shop with thousands of brands, the hard part is knowing which of those moments matter this week. Sales data tells you what already happened. News coverage shows what's starting to happen.

Konji follows the news coverage around the products, brands and seasons it carries, and watches for coverage that's building. When a topic starts gaining attention, it's an early sign that shoppers will soon be looking for the products connected to it.

What the news showsHow Konji uses it
Rising coverage of a brand or productBring that brand's products forward for shoppers who'd want them
Events coming up, from big games to holidaysGet the matching products ready before the rush
Weather and seasonal storiesShift what shoppers see as the season turns in their area
Stories fading outMove attention to the next thing that's rising

The result is a shop that keeps pace with what's going on, instead of reacting a week late to what sold yesterday.

What does this look like for shoppers?

For shoppers, it means the products that fit the moment are already there when they open the app. When a cold snap is in the news, warm layers are easy to find. When a brand is having its moment, its new pieces show up for the people most likely to want them. When a holiday is coming, the gifts are ready before the last-minute scramble.

None of this asks shoppers to do anything differently. They browse and shop as usual, and the app does the work of keeping up with the world around them.

What can other ecommerce companies learn from Konji?

Other ecommerce companies can use the same idea at any size: treat the news as an early read on demand, and act on it before the trend shows up in your own numbers. A small store can watch coverage of its own product category. A larger one can follow coverage across every brand and season it carries.

To start tracking the coverage that matters to your business, see tracking global events in real time with news data, or explore the NewsMesh API.

Frequently Asked Questions

What is Konji?

Konji is a shopping app that brings thousands of brands into one place, with one bag and one checkout. Shoppers earn credit as they browse and shop, and use it toward their next order.

How does Konji use NewsMesh?

Konji uses NewsMesh's real-time news data as an early signal of what shoppers are about to want. When coverage of a product, a brand, an event or a season starts to build, Konji can bring the products that match it forward before the demand peaks.

Why use news data to forecast shopping trends?

Most shopping trends start with something that gets written about first: a product launch, a moment on a red carpet, a cold snap, a big game or a holiday on the way. News coverage tends to rise before searches and sales do, which gives a shop time to act.

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