← Work / № 002 / Own venture

iTquetas

What if every clothing tag could become a personal stylist?

— The Origin

I created iTquetas in 2011 while studying fashion in Brazil.

The idea started with a very practical retail problem: people liked items in stores, but often didn't know how to style them. Store owners had the inventory but no scalable way to show each customer what else could go with what they were already buying.

— The Product

So I built QR-code labels for clothing.

When a customer scanned the tag, they could see a real person wearing that item (not a model), to show how the piece could look in real life in a "real" body.

Right below it, they would see other clothes and accessories from the same store that matched the item.

Basically: "You like this skirt? Great. Here are the shoes, bag, top, and jacket that make it an outfit."

— The Evolution

Later, iTquetas evolved into an online fashion marketplace. Users could browse products from multiple stores and get their own personalized homepage based on their style and behavior.

I built the marketplace using scraped e-commerce data, created personalized product feeds, and worked with my co-founder on predictive algorithms to recommend products based on what each person seemed to like.

So no, we were not calling everything AI yet. But the idea was already there: user behavior and product data to make shopping feel less random.

— The Impact

The project was selected as one of the top startups in StartupRS, got incubated at the university, and led to meetings with local malls about implementing the concept across multiple stores.

iTquetas was my first real proof that I like working at the intersection of data, product and commerce. It was exactly what led me to my Marketing and Data Analytics career.

— Results

• Top 10 — Selected startup in StartupRS
• 1st — University-incubated venture
• Multi-store — Mall partnership discussions