Produktdaten-Onboarding
AI-Annotation & Deep Research
Marktplatz-Ausspielung
Autonomous AI agents take over repetitive tasks throughout your entire product data process—from research to publication.
AI agents are transforming commerce: only when product information is complete, up-to-date, and structured can these AI agents reliably make decisions, recommend products, and open up new sales channels for your assortment in LLMs like ChatGPT, Copilot, Gemini, and others.
Agentic Commerce begins with high-quality product data.
Whether you are importing, managing, or publishing product data, ainavio automates the entire product data lifecycle with intelligent AI Agents.
Import product data from Excel, CSV, supplier systems, or other sources. AI Agents research missing information, supplement attributes, and create structured, PIM-ready products – automatically and in high quality.
Centrally manage and optimize your product data. AI Agents create categories and attributes, improve data quality, translate content, harmonize data, and automate recurring maintenance and approval processes.
AI Annotation & Deep Research →Automatically prepare product data for Amazon, OTTO, Shopify, Shopware, and other sales channels. AI Agents validate channel-specific requirements and publish your products faster, more consistently, and across any number of channels.
On Marketplaces in Minutes →Agenten in Aktion
Die AI Agents lesen die Lieferantendatei aus, recherchieren fehlende Werte in externen Quellen und annotieren jedes Attribut – bis der Produktdatensatz vollständig ist und überall gefunden wird.
Animation mit drei Beispielprodukten: Die AI Agents lesen Rohdaten aus einer Lieferantendatei, recherchieren fehlende Werte wie Marke, Material und GTIN in externen Quellen, normalisieren die Attribute, ordnen eine Kategorie zu und ergänzen Kaufmotive, Produkttitel und ALT-Text. Anschließend wird das Produkt nacheinander zu Amazon, OTTO und Shopify ausgespielt und von einem KI-Assistenten empfohlen.
Many companies invest valuable time every day in manual product data maintenance and pay for it multiple times over: through higher costs, lower visibility, and lost revenue.
Missing or incomplete product information hinders discoverability on search engines and marketplaces. At the same time, conversion rates drop and returns increase.
Product data is gathered and enriched from supplier portals, PDFs, Excel files, and websites. Valuable time is lost before products are ready for sale, leaving potential revenue on the table.
Researching, enriching, and maintaining attributes, technical data, images, and descriptions ties up qualified staff in manual processes that can now be largely automated.
Every shop and marketplace requires its own categories, attributes, and data formats. The high effort involved in mapping and maintenance often prevents new sales channels from being opened up or larger product ranges from being managed efficiently.
Calculation based on a target quality of 100%.
PIM Studio combines Product Information Management (PIM) and Digital Asset Management (DAM) with autonomous AI agents. Instead of performing individual functions, AI agents complete entire tasks—from research to publication.
