Marketing ops · Production

ITNT Media Group builds AI ecommerce optimizer Maato on n8n, driving 20% revenue uplift for fashion client

The problem

ITNT Media Group's marketing delivery was fully manual, and their custom-built platform GetGenius required specialized Python developers for every new integration, making it costly and slow to evolve. Data privacy requirements for European customers added further constraints.

First attempt

Their proprietary platform GetGenius became painfully hard to maintain — every workflow change required specialized Python development, making iteration slow and developer hiring costly.

Workflow diagram · grounded in source
1
Connect to ecommerce platform
integration
“n8n workflows connect to Shopify, WooCommerce, Shopware, and other shop systems.”
2
SEO analysis and keyword research
ai_action
“We start a workflow for SEO analyzing how good the customer is ranking on different kinds of keywords and what would be the optimal way to optimize products, product descriptions, category descriptions, SEO text, but also blog articles.”
3
Import and enrich products
ai_action
“Every shop product will be imported and based on the keyword research that we do, we optimize the product descriptions, category descriptions, but also images.”
4
Generate AI influencer visuals
ai_action
“Maato uses AI tools such as Veo3 to create AI avatars that wear the products and generate images and videos.”
5
Publish content and campaigns
output
“n8n orchestrates sending the optimized product content, images, blog posts, and social media content back into the shop and out to social platforms.”
Reported outcome

Fashion client Tara-M saw a 20 percent increase in monthly revenue (from 1 million to 1.2 million per month) in just four months.
Internally, n8n is now used across all departments with near-universal employee adoption.

Reported metrics
monthly revenue increase for Tara-M20 percent
Tara-M monthly revenue before1 million per month
Tara-M monthly revenue after1.2 million every month
Time to achieve revenue upliftfour months
Show all 5 reported metrics
monthly revenue increase for Tara-M20 percent
Tara-M monthly revenue before1 million per month
Tara-M monthly revenue after1.2 million every month
time to achieve revenue upliftfour months
Maato built on n8n60%
Reported stack
n8nOpenAIGoogleVeo3ShopifyWooCommerceShopwareDeepSeekAnthropic
Source
https://n8n.io/case-studies/itnt-media-group/
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Fashion client Tara-M saw a 20 percent increase in monthly revenue (from 1 million to 1.2 million per month) in just four months.

What tools did this team use?

n8n, OpenAI, Google, Veo3, Shopify, WooCommerce, Shopware, DeepSeek, Anthropic.

What results were reported?

monthly revenue increase for Tara-M: 20 percent; Tara-M monthly revenue before: 1 million per month; Tara-M monthly revenue after: 1.2 million every month; Time to achieve revenue uplift: four months (source-reported, not independently verified).

What failed first in this deployment?

Their proprietary platform GetGenius became painfully hard to maintain — every workflow change required specialized Python development, making iteration slow and developer hiring costly.

How is this marketing ops AI workflow structured?

Connect to ecommerce platform → SEO analysis and keyword research → Import and enrich products → Generate AI influencer visuals → Publish content and campaigns.

Related marketing ops cases