The Mall App Creates a Unified Feed for Digital Retail

As physical shopping centers see a resurgence in popularity among younger demographics, a new startup named “The Mall” is translating that experience into the digital realm. The company’s application allows shoppers to curate a personalized virtual marketplace from their preferred labels, consolidating sales tracking and brand monitoring into a single interface. While the core concept is straightforward, its timing is strategic, addressing the growing complexity of an online retail environment that has become increasingly fragmented and difficult to navigate.

This user frustration was the primary catalyst for Ellie Konsker, co-founder and COO of The Mall. Drawing on her experience at major fashion houses like Tom Ford and Karla Otto, Konsker identified a systemic inefficiency during her time at a sustainable fashion marketplace startup. “Consumers were shopping across 20 tabs at once, signing up [their] emails for newsletters, and trying to be able to track brands and piece all that information together in real time,” Konsker explained. “It’s hard, and it makes shopping a very frustrating process.”

Konsker’s vision aligned with that of co-founder and CEO Sreya Halder, a Stanford computer science graduate, after they met through a female founders network in Los Angeles. Halder observed a gap in the market for digital databases that mirrored the organization found in entertainment platforms. “We were both super aligned on creating this world where everyone has access to all of the brands that exist on the internet,” Halder said. “As a founder, I was looking at other apps — like Letterboxd, Goodreads, Spotify — and they’ve created these databases for all of those creative outlets — for music, movies, books. And fashion, and shopping, didn’t actually exist, so we started out wanting to build [something] like a Spotify, but for shopping.”

Officially launched in October 2025, The Mall aggregates fashion brands under one digital umbrella. Rather than relying on brand partnerships or standard APIs, the platform employs technology to scrape retail websites, importing full catalogs and monitoring product and pricing data directly within its own ecosystem. This scraping process occurs frequently to detect sales, restocks, product drops, and other promotions, triggering push notifications for users.

Upon signing up, users construct their virtual mall by selecting their favorite brands, enabling immediate tracking of updates. Although the platform currently hosts a database of over 10,000 brands, users can expand it by sharing a brand’s Instagram or TikTok handle. The Mall then verifies the existence of a corresponding e-commerce site, scrapes its inventory, and integrates those items into the database.

Behind the scenes, the startup utilizes large language models (LLMs) alongside proprietary custom models to categorize the data it collects. This infrastructure enables precise search capabilities for specific items and releases. When a user decides to purchase an item, the app opens an internal browser window that directs them to the brand’s official e-commerce site to complete the transaction.

The Mall explicitly states it does not operate on a traditional affiliate marketing model, positioning itself instead as a discovery engine. Users have the option to make their brand collections public or keep them private, facilitating discovery among friends and followers of fashion-focused creators. “As you dig in, you’ll end up going down this rabbit hole and finding more and more things from brands that you never would have seen or heard of unless they delivered an ad to you,” Konsker observed.

Additionally, the app offers price comparison features. “You can look at a piece and then see what is similar to this piece across any brand in the world. So you can see if a piece is priced a little bit lower or higher in different colorways,” Konsker added.

The Mall is available to consumers at no cost. The company’s revenue strategy involves developing a data analytics tool for brands, which will enable them to analyze click-through rates and examine how competitors approach seasonal product assortments.

Source: TechCrunch Generated at: 2026-06-01 17:50:18 UTC