How can you identify personal trends?

Contribution image personal trends

In the last trend report I received, there was a detailed report on dresses, skirts and tops – of course, the fashion industry is largely oriented towards women. But as a man in my early 40s, none of these trends suited me. That’s not entirely surprising. But even in the trend reports on the latest sneakers, there was nothing that appealed to me. Is that because of me? Not entirely. It’s because an editor has to decide on a small number of trends, even though he could report on so many. I’m sure there’s a sneaker trend that would suit me, it just wasn’t chosen by him. If a report on all possible trends were set up, an almost infinite number of pages would come out. However, it would be far too general, far too much, and thus inconsclusive, because what is one supposed to derive from it?

Sebastian personal recommendation
Personal Trends Englishwoman
Personal Trends Italian
Personal Trends Bankers

In the best case, a report should list the trends per gender, age, category, culture, background, occasion, etc., so that it also fits the reader. Because for a 20-year-old English woman, something completely different is the trend than for a 30-year-old Italian woman. There are also differences for men. For a 50-year-old banker, for example, something quite different is in than for a 25-year-old student.

Since such distinctions are very relevant for us at Picalike, we tried to get an indicator with the following parameters:

Gender: 3 (men, women, unisex)

Age: 6 (Baby, Child, Teen, Young Adult, Adult, Senior)

Occasion: 6 (Basics, Casual, Chic, Business, Sporty, Rocky)

Categories: 7 (Dresses, Blouses, Trousers, Jackets, Shorts, Shoes, Sweaters)

Attributes: 4 (colour, pattern, length, extras)

Type: 2 (Extrovert, Introvert)

Season: 4 (Spring, Summer, Autumn, Winter)

Weather: 5 (Warm, Cold, Rainy, Sunny, Snowy) Ba

This simple list, which we try to make even more precise every day, would already generate over 30,000 reports. That is a lot of effort! And unfortunately still far too much. Fortunately, we are developers and can have our artificial intelligence monitor this so that it only returns us the relevant results.

When I look back, I see the long way we have come, although we still want to go much further. For example, it was a special experience when we received the first sketches of trends to better visualise the data from the reports. That was our beginning. Now, with OSA and especially with our trend analysis, we are already quite a bit further along. Nevertheless, the sketches of trends are still an event. That drives us on. It remains exciting!

Give Furnishing tips with Complete the Look

Those who know us also know Complete the Look, our recommendation tool. It can be used to create Looks (previously Picalike slang for outfits) that can be scaled across the entire range with just a few clicks. So a Look is kept alive almost indefinitely thanks to our unique image recognition and artificial intelligence. (For a quick look, check out our video)

What CTL looks like practically for fashion online stores?

This can be seen in the example of our customer Madeleine. Complete the Look is used there under the designation “Matches”. Picalike’s image recognition technology suggests other items that could go with the desired blazer, for example. But not only that. With its similarity analysis, the tool searches Madeleine’s entire product range for other items that can be used to replace a product if it is sold out. This creates a win-win situation for the customer and the retailer, as it suggests a never-out-of-stock feeling and Madeleine can play out the entire range of its assortment without having to manually enter new outfit suggestions into the CRM every day. (For more information: here is our case study on Madeleine)

This is all old hat?

Then here comes the big news: the beautiful word “looks” from Complete the Look is no longer limited to outfits! Because now, with our technology, it’s also possible to furnish rooms. Especially now, when so much time is spent in one’s own four walls, it is even more important to furnish oneself in a way that one likes to be at home. This is also clearly shown by the statistics on what was shopped for online last year in particular. Of course, we want to support our customers and help them achieve even better sales.

What CTL looks like in practical terms for furnishing online stores, in turn?

You can see this very well in the example of another of our customers. The store itself can create countless living styles, completely without elaborate photo shoots. In the following example, a room is decorated in a cozy country style.

Furnishing tips
Furnishing tips
Furnishing tips

And the look is already online and “re-buyable”. Just like the Madeleine example, sold-out items are always replaced and scaled across the entire range. With little effort, a very diverse result is achieved.

Sounds exciting? Then try our demo!