D2C Fashion eCommerce with AI for Fashion Brands

The problem

D2C fashion brands lose to marketplaces because their technology isn't designed for fashion.

01

Your platform takes weeks to publish a new collection; by the time it reaches the site, the launch moment has already passed.

02

Your search doesn't understand "boho off-white dress for a civil wedding" — and the customer leaves for Zara or Liverpool.

03

You capture the customer with expensive ads and lose them because the second post-purchase email is the same as the one for the first purchase.

04

You rely on Instagram for discovery, but you have no way to retain: there's no personalization and no LTV built.

05

You sell on marketplaces to reach customers and you're left with no margin, no customer data and no direct relationship.

Who it's for

For fashion brands that sell directly and want to scale without losing their identity.

Seasonal catalog

Frequent collections, drops, sizes and color variants. You need to publish fast and retire even faster.

An audience built on social

Instagram, TikTok, Pinterest. The traffic exists — what's missing is conversion and retention outside the marketplaces.

LTV as the key metric

You want a second purchase, a third purchase, a returning customer. You're not in the single-transaction business.

500–15,000 active SKUs

A mid-sized catalog with high turnover. Each season, 40–60% of the active assortment changes.

The solution

Fashion tech, not commodity tech.

Catalog

Seasonal Catalog Management

The full collection live in hours, not weeks. Fashion attributes: fabric, fit, occasion, exact color, sizes. Unlimited variants. Photos and video per SKU with bulk upload. Automated season retirement.

Search

Visual & Semantic Search

Your customer searches the way they speak: "casual dress for remote work." Or they upload an inspiration photo. Or they say "something like what I bought in March." Your search understands all of that and shows what you have, not what you don't.

LTV

LTV Personalization

Homepage, emails and recommendations that change based on each customer's history. The one who bought linen doesn't see the denim campaign. Automated, with no data team, working from the very first order. See AI personalization.

Checkout

Agile Checkout & Fulfillment

Single-step checkout optimized for mobile. Carrier integration (99minutos, FedEx, DHL). Automated returns with generated label. Your customer gets a great brand experience and D2C agility.

The process

From diagnosis to first collection live: 8–10 weeks.

01

Brand & Tech Audit

1–2 weeks

We analyze your catalog, publishing flow, checkout and current LTV metrics.

02

Platform Design

2 weeks

Headless architecture tailored to fashion D2C: speed, catalog and personalization.

03

Build & Migrate

8–12 weeks

We build the D2C channel. We migrate the existing catalog. We configure search and personalization.

04

Launch & LTV

Ongoing

First collection live. Personalization activation. Second-purchase tracking.

Results

For D2C fashion brands, we measure LTV and speed — not just conversion.

2.4x

LTV with personalization vs. generic email

+65%

conversion from semantic search vs. keyword-match

48 hrs

to launch a collection (vs. 3 weeks on traditional platforms)

Frequently asked questions

What fashion brands ask before starting.

How much does it cost to build a D2C channel for a fashion brand in Mexico?

Every project is different depending on catalog size, integrations and the level of personalization required. What we always do is a Discovery Session first, to understand your operation and give you an estimate of the projected ROI before we start. No surprises.

Do you have to stop selling on Mercado Libre or other marketplaces?

No. The D2C channel doesn't replace marketplaces — it complements them. The goal is for a growing share of your sales to flow through your own channel, where you keep full margin and access to customer data. You define the mix.

Does visual search work for Mexican fashion catalogs?

Yes, and it's especially effective in fashion because customers don't always know the exact name of what they're looking for. It works with shopper photos, Instagram or Pinterest inspiration and color and style references in natural language. It's trained on your specific catalog.

What happens to the catalog when the season ends?

We automate season retirement: out-of-stock products or items from previous collections are automatically hidden from the active catalog according to the rules you define. You can keep them available in an outlet section or archive them entirely — with no manual work.

Your fashion brand sells directly; your platform should be as agile as your collection.