Better product data with AI. More revenue in every channel.

Logo von GALERIA, Kunde von ainavioLogo von Intersport, Kunde von ainavioLogo von Kölle Zoo, Kunde von ainavioLogo von ImmoScout24, Kunde von ainavioLogo von Farfalla, Kunde von ainavioLogo von Nadler, Kunde von ainavioLogo von Rommelsbacher, Kunde von ainavioLogo von Gorilla Sports, Kunde von ainavio
Logo von GALERIA, Kunde von ainavioLogo von Intersport, Kunde von ainavioLogo von ImmoScout24, Kunde von ainavioLogo von Farfalla, Kunde von ainavioLogo von Nadler, Kunde von ainavioLogo von Rommelsbacher, Kunde von ainavioLogo von Gorilla Sports, Kunde von ainavio
Impact

What do you gain by automating product data?

Onboarding runs up to 10× faster, products sell better and come back less often. And AI assistants like ChatGPT only recommend products whose data is complete.

10×

faster product onboarding

Through AI mapping and research
30%

higher conversions

with better product data
20%

fewer returns

thanks to precise product information
44%

fewer abandoned carts

through complete product data
50%

lower costs

at GALERIA with ainavio
2,000

person-hours saved per year

at our enterprise clients
How ainavio works

How does product data get into every channel?

In three steps: ainavio takes in your data from any source, AI Agents research and fill in what is missing, and the finished product goes out listing-ready to more than 40 shops and marketplaces. Your team approves before anything goes live.

The layer above · MCP

Your AI assistant works directly with ainavio

PIM via MCP in your chat →
Which sneakers from the new delivery still have no product description?
38 products. I have prepared descriptions and saved them as drafts for your team to approve.via ainavio MCP · example
1
Take in
Excel
CSV
PDF catalogue
XML feed
ERP
↓
Your data modelattributes · categories

Product data onboarding

Excel, PDF catalogues, feeds or ERP become structured products in your data model.

Supplier Data
To onboarding →
2
Complete
Women's Runner sneaker
MaterialMesh✓ sourced
WidthG✓ sourced
LanguagesDE · FR · IT✓ translated

AI annotation & deep research

AI Agents research missing values with a source, write texts, translate and check every product.

Research
Enrichment
Translation
Media
Quality
To the Research Agent →
3
Publish

Marketplace publishing

Categories and required fields are mapped for each channel. The product goes out listing-ready.

Marketplace
To the Marketplace Agent →
Foundation
PIM & DAM in one
one data model for every channel
Workflow
approvals & history
Challenges

What does incomplete product data cost?

Many companies spend time every day on manual product data upkeep and pay three times over: with higher costs, lower visibility and lost revenue.

Visibility

Gaps cost traffic and revenue

Incomplete product data is found less often in search engines and on marketplaces, sells less, and returns go up.

Time

Manual upkeep slows down sales

By the time data from portals, PDFs and Excel is pulled together, valuable time has passed and revenue is left on the table.

Cost

Specialists maintain data instead of selling

Research, attributes, images and texts tie up qualified staff in tasks that can be automated.

Growth

New channels fail on the effort

Every shop and marketplace demands its own categories, attributes and formats. New channels and larger ranges are therefore often put off.

PIM Studio

Where does your team work with the AI Agents?

In PIM Studio your team starts a session, for example for deep research, and reviews the results before they go into the PIM.

Benutzeroberfläche mit Optionen für Session-Start: Deep Research oder Selbst-Onboarding in einer PIM-Software.
AI Agents

Which tasks do the eight AI Agents take on?

The agents cover the entire product data process, from supplier import to approval. Every step is traceable and approved before data goes live.

AI Agents

Acht AI Agents übernehmen komplette Aufgaben

Die Agenten decken den gesamten Product-Data-Lifecycle ab, vom Lieferanten-Import bis zur Freigabe. Jeder Arbeitsschritt ist nachvollziehbar und wird freigegeben, bevor Daten live gehen.

Industries

Who is ainavio for?

For companies with many products, many suppliers and several sales channels.

Retail

Manage ranges and get products online faster.

Manufacturers

Manage product information centrally and provide it worldwide.

Wholesale

Take in and harmonise supplier data automatically.

Brands

Consistent product information across all sales channels.

Data sources

Which systems does ainavio take data from?

JTL, Infor CloudSuite, Business Central, weclapp, Allgeier, plus PDF catalogues, HTTP feeds and JSON: ainavio reads product data in its source format and harmonises it automatically.

Integrations

Where does your product data go? To more than 40 shops and marketplaces.

From Amazon and eBay through OTTO and Kaufland to Shopify, Shopware and commercetools: ainavio publishes product data listing-ready, with no export file and no extra step.

Customers

Who already works with ainavio?

What customers say about working with ainavio.

50 %
lower costs

“Thanks to the ainavio PIM, we were able to cut our costs by 50% and significantly improve our item quality. We can now put our entire range online, even with fast product rotation.”

GALERIA
Thousands
of assets with legally compliant alt texts

“We are absolutely satisfied with the result. The AI-automated addition of legally compliant alt texts to our products and the effortless bulk processing of thousands of assets in a very short time make us faster and more relevant, make our offering even more attractive and, above all, accessible in line with regulations, today and in the future.”

Maria Petkoudis, Senior Online Marketing Manager, Kölle Zoo Holding GmbH
Live
Integration in daily use

“Thank you for the excellent collaboration! The ainavio integration is already running successfully and our users benefit from it every day.”

ImmoScout24

Let AI agents manage your product data. 

Reach new marketplaces and online stores in minutes with AI.