// PIM & PRODUCT DATA
Product Data Management
& PIM Automation
Product data management decides your catalog's time to market, data quality, and scalability. Maintaining thousands of SKUs by hand means losing ground to marketplaces, competitors, and customer expectations. Xanevo automates your entire product data process: from capture through enrichment to multichannel output.
// DEVELOPING PRODUCTION-READY AI SOLUTIONS FOR
// DEFINITION
Why managing data is no longer enough
Product data management covers every process around the creation, maintenance, quality assurance, and distribution of product information. In a modern setup it is no longer about storing data in a PIM system, it is about intelligently automating the entire process chain.
The demands on product information management have risen sharply in recent years. Marketplaces like Amazon and Zalando require granular product attributes in real time. Multichannel strategies demand consistent data across shop, catalog, app, and marketplace. And internal teams are under pressure to onboard new assortments faster than manual processes allow.
PIM automation starts exactly here: AI and algorithms take over recurring tasks like classification, attribute mapping, copy generation, and translation. The PIM system stays the central data foundation, but the work that used to cost hours per product now runs automatically.
// THE BOTTLENECK
The hidden cost factor in your process
The math is simple: 15 minutes of manual data work per product, multiplied by 1,000 new items, is 250 hours of pure maintenance. At 10,000 items we are talking about 2,500 hours, roughly one and a half full-time positions just for typing and checking product catalogs.
In practice this means delayed sales launches, inconsistent data quality across channels, and a team busy with repetitive maintenance instead of value-adding work. Time to market suffers, the error rate climbs, and beyond a certain SKU count the model simply cannot be sustained. Automating data work then stops being an option and becomes an operational necessity.
// WHAT WE SOLVE
Our solutions for your data
Product data problems are not all the same. Some companies struggle with capture, others with quality. That is why we offer two specialized solutions that target exactly where your product catalog management has the biggest lever.
01
Product Data Enrichment
Your problem:
Incomplete attributes, missing copy, and inconsistent classification across multiple systems. The data exists, but it is not good enough for output on marketplaces and in the shop.
The solution:
AI-driven enrichment of existing product data: automatic attribute generation, copy production, classification by ETIM or ECLASS, and quality assurance across every channel.
Your benefit:
Consistent data quality without additional headcount. From incomplete records to golden records that work on marketplaces, in the shop, and in the catalog.
02
OCR & Document Processing
Your problem:
Product data arrives as PDF catalogs, Excel lists, or unstructured supplier feeds. Before the data even reaches the PIM, someone has to transfer and structure it by hand.
The solution:
Automatic extraction of structured data from any document format. PDFs, catalogs, and supplier feeds are turned into clean, PIM-ready records.
Your benefit:
Instead of weeks of manual transfer: data in the system within hours. The error rate drops, onboarding new suppliers becomes predictable.
// TECH COMPARISON
PIM automation: manual vs. automated processes
Table 1: Factor Comparison
Dimension
Manual
Xanevo automated
Cost per SKU
High: 15+ minutes of manual work per item
Low: AI-driven processing in seconds
Error rate
5 to 15 % with manual entry
Under 2 % through automatic validation
Speed
Weeks to months depending on scope
Hours to days, independent of volume
Channel coverage
Often inconsistent, manual rework per channel
Consistent across all channels from day 1
Marketplace readiness
Time-consuming manual adaptation per platform
Automatic mapping to marketplace requirements
Table 2: SKU Scaling
Assortment size
Manual Team
Xanevo Automation
1,000 SKUs
1 to 2 staff
Fully automated
10,000 SKUs
5 to 8 staff
Fully automated (same effort)
100,000 SKUs
No longer manageable
Fully automated (same effort)
The Process
/ APPROACH
01
Step 01
Audit
We analyze your existing data landscape, identify bottlenecks, and assess automation potential. Which systems are in use? Where do errors occur? How much manual effort goes into each SKU? The result is a clear picture of the current state and a concrete plan.
02
Step 02
Setup
Based on the audit we configure the automation: connect data sources, define rules, set up quality checks. We work with your existing PIM (Akeneo, Pimcore, Contentserv, or another system) and put the intelligence layer on top. No migration, no system change.
03
Step 03
Run
The automated process runs. Product data is captured, enriched, classified, and pushed across every channel. Your team supervises and approves instead of intervening manually. First measurable results are visible within 90 days.
04
Step 04
Scale
What works for one assortment works for ten. We scale the automation to more product groups, markets, and languages. SKU scaling stays linear: the effort stays the same whether you process 1,000 or 100,000 items.
Intelligent Automation for Your PIM
Xanevo works system-agnostic. We do not replace your PIM, we make it more capable. The automation sits as its own layer on top of your existing product information management and connects to your data sources, whether that is SAP, Dynamics, Akeneo, or a proprietary system.
We follow a clear principle: no big bang, but step-by-step rollout. First one area, then the next. Operations stay stable, results stay measurable, and your multichannel data strategy grows with your business. Every step delivers immediate, measurable value, from reduced maintenance effort to faster time to market.
// GOVERNANCE
Quality Assurance and Data Governance
Automation without quality control is a risk. That is why governance is built into every Xanevo project from the start: clear rules for data quality, defined approval processes, and automatic validation against your standards.
We map to common classification systems like ETIM and ECLASS, but work just as well with customer-specific taxonomies. The automation's output runs through multi-stage quality checks before it goes live. Your team keeps control and can intervene at any time. The human decides, the machine assists.
// FAQ
Frequently Asked Questions
No. We do not replace systems, we make them better. Xanevo sits as an automation layer on top of your existing PIM, whether Akeneo, Pimcore, Contentserv, or another system. Your infrastructure stays in place, the manual processes around it get automated.
That depends less on item count than on complexity. Managing 500 products in one language on one channel probably needs no automation. Managing 500 products in three languages across five marketplaces is a significant automation lever. In the first call we clarify together whether and where the investment pays off for you.
We work with common classification systems like ETIM and ECLASS as well as customer-specific taxonomies. Beyond that we map product data to the individual requirements of marketplaces and internal systems. The standard follows your channels, target markets, and multichannel data strategy.
// READY?
You know it can't go on like this.
15 minutes per product. Hundreds of new items per quarter. And a team spending more time on data maintenance than on value creation. Let us find together what automation potential sits in your processes.