Inbound Product Data Management

Stop Importing Problems
Into Your Systems

FeedPrep is the gatekeeper between your suppliers and your systems. Define your approved values once. Map each supplier once. Only clean, consistent, approved data enters your webshop, PIM, or ERP. The mess stays outside.

CSV • XLSX • XML • URL • FTP No credit card required Free 14-day trial

47 Variants of "Black" Is Not a Color Filter

When every supplier spells it differently, your webshop filters break, search returns partial results, and your catalog looks amateur.

Every Supplier, a Different Language

Supplier A says BLK. Supplier B says Schwarz. Supplier C says Charcoal. Your webshop creates three separate color filters instead of one. Customers can't find products.

5–20 Hours Per Week, Wasted

Manual column mapping, unit conversions, value normalization. Done by hand. And when the same supplier sends next month's file? You do it all again. Every. Single. Week.

New Values Slip Through Unnoticed

A supplier adds "Slate Grey" to their feed. Nobody catches it. Your catalog now has an unapproved value — filters break, categories drift, and your PIM fills with junk data over time.

Normalization, Not Guessing

FeedPrep is deterministic: you define approved values, and ONLY approved values make it through. If a supplier sends "Slate Grey" and you haven't approved it, FeedPrep flags it — it doesn't silently guess.

Filters That Work

When "Black" is always "Black" — never "BLK", "Schwarz", or "Charcoal" — your webshop filters show the right products. One filter, all suppliers.

Search That's Complete

Customers searching for "Cotton" find ALL cotton products — not just the ones where the supplier happened to spell it right.

PIM That Stays Clean

No duplicate values, no spelling variants, no data drift over time. Your PIM is only as good as the data you feed it. FeedPrep ensures it's always clean.

The More You Use It, The Less You Do

Set up once per supplier. Every future import is automatic. Every mapping, every correction — saved and applied automatically next time.

First time
Upload Map columns Map values Review & export
~15 min
Second time
Upload Adapter auto-applies Review new values Export
~5 min
After that
Upload Auto-normalize Export
< 1 min

The Gatekeeper Before Your Systems

FeedPrep owns the inbound side. Channel tools (Channable, DataFeedWatch) own the outbound side. We're complementary, not competitive.

Supplier CSV / XLSX / XML
FeedPrep
Akeneo • Shopify • WooCommerce • ERP • Any system

Replaces Spreadsheets

No more VLOOKUP formulas and manual find-and-replace. Your cleanup logic lives in FeedPrep, not a fragile spreadsheet someone forgot to share.

Replaces Custom Scripts

Your developer built it. Who maintains it when they leave? FeedPrep is the productized version of that script — with a UI, team access, and support.

Feeds Clean Data Into Your PIM

FeedPrep doesn't replace your PIM. It's the PIM's best friend — ensuring every supplier import is clean, mapped, and PIM-ready.

Everything You Need to Tame Supplier Data

13 normalization steps. AI-assisted mapping. Visual rule builder. All features on all plans.

Supplier Adapters — Map Once, Reuse Forever

Set up column mappings, value translations, unit conversions, and normalization rules once per supplier. Every future import auto-applies the same adapter. Zero manual work on repeat imports.

Supplier "ACME Industrial" adapter:
Artikelnummer → SKU
Farbe → Color
Gewicht (g) → Weight (g → kg)
BLK → Black, WHT → White
✓ Auto-applied to every future feed

Approved Values

Define your canonical values for colors, materials, sizes. Only approved values pass through. Unapproved values are flagged for review — never silently imported.

13-Step Normalization Pipeline

Whitespace cleanup, HTML stripping, unit conversion, boolean normalization, date formatting, value mapping, case normalization — all automatic, all configurable.

AI-Assisted Mapping

Click "AI Suggest" for intelligent value mapping. Maps "Schwarz" → "Black", "Stål" → "Steel" across 20+ languages. Three strictness modes per attribute: Strict, Moderate, Flexible.

Transform Without Code

Add 25% VAT, strip HTML, concatenate fields, conditional logic, regex replace. Visual rule builder with live preview on sample data.

Review What Changed

Raw value → normalized value for every product, field by field. Filter to "Changed only" to focus on what matters. Source badges show what changed each value.

Export Exactly What Each System Needs

CSV, JSON, XML, XLSX. Custom column mapping, PIM codes, split measurement columns. Static URLs for polling. Scheduled exports — daily, 6-hourly, or hourly.

Feed Health & Monitoring

Completeness scores, missing field alerts, unmapped value warnings. Email notifications for failures and health changes. Know when something's wrong before it reaches production.

Unlimited Users, No Extra Cost

Unlimited users on all plans. Role-based access: Owner, Admin, Editor, Reviewer, Viewer. Multiple workspaces for agencies managing different clients.

See It in Action

A visual, no-code interface that product managers can use. No Python scripts, no SQL, no developer dependency.

Map supplier columns to your schema

Every supplier uses different column names. Map Artikelnummer to SKU, Farbe to Color, Gewicht to Weight. Save it as an adapter — it auto-applies to every future file from this supplier.

  • AI suggests column mappings automatically
  • Set unit conversions per column (g → kg)
  • Each canonical attribute can only be assigned once
  • Saved per supplier as a reusable adapter

Map supplier values to your approved list

"BLK", "Schwarz", "Charcoal" — all become "Black" in your catalog. Define approved values once. FeedPrep maps every supplier variant deterministically. Unapproved values are flagged, never silently imported.

  • AI suggests value mappings across 20+ languages
  • Three strictness modes: Strict, Moderate, Flexible
  • Accept or dismiss each suggestion individually
  • External PIM codes for Akeneo, Pimcore, etc.

Transform data without writing code

Add 25% VAT to prices. Strip HTML from descriptions. Concatenate brand + model into product title. Conditional logic, regex, rounding — all visual, all with live preview.

  • Math: multiply, divide, round, add/subtract
  • Text: find/replace, prepend, append, slugify, truncate
  • Logic: "If stock = 0, set availability to out of stock"
  • Live preview shows effect on sample data

Review what changed, not everything

17,000 products normalized. Which ones actually changed? The review interface shows raw value → normalized value for every product, field by field. Source badges show what changed each value.

  • Filter to "Changed only" to focus on what matters
  • Source badges: mapping, normalization, transform, value map
  • Live normalization — always reflects current config
  • Search by any product field

It Gets Faster Every Time

Without FeedPrep, every feed takes 2 hours — whether it's the first or the fiftieth. With FeedPrep, the curve bends. Once all values are known, there's nothing left to review.

1st Feed
2 hours
15 min
You're teaching it
2nd Feed
2 hours
5 min
Review only what's new
10th Feed
2 hours
1 min
Nothing new? Just export
Format Change
2 hours
10 min
Update adapter, done

Built for Teams Who Live in Product Data

Stop spending days on data instead of selling

You manage 10+ suppliers, each with their own file format and naming conventions. Every new product feed means hours of Excel work before anything reaches your store.

  • Upload any supplier file — CSV, XLSX, XML, URL, FTP
  • Map columns once per supplier, reuse on every future feed
  • Approved values ensure your filters and categories always work
  • Add VAT, clean HTML, convert units — all with rules, no code
  • Export clean data ready for Shopify, WooCommerce, Magento
Learn more →

BEFORE FEEDPREP

"Anna spends 6 hours every Monday cleaning supplier data in Excel. Renaming columns, fixing abbreviations, converting units, adding VAT. When she's on vacation, imports don't happen."

AFTER FEEDPREP

"Upload → adapter auto-applies → review the 3 new values → export. 15 minutes. The rest of her Monday is free."

Clean data into your PIM, every time

Your PIM needs clean, structured data with attribute codes. But suppliers send labels, mixed units, and inconsistent values. FeedPrep bridges the gap.

  • Define your Akeneo/Pimcore schema — import via JSON
  • Set external codes on attributes and values
  • Export with "Code only" or "Label + Code" split columns
  • Split measurement columns: value and unit separate
  • New supplier onboarding: 30 minutes instead of 3 days
Learn more →

THE PROBLEM

Suppliers send "Stainless Steel" but Akeneo needs material_ss. Marcus maintains a massive Excel mapping file. Every new supplier means a new tab and 2–3 days of setup.

THE SOLUTION

FeedPrep maps supplier values to PIM codes, normalizes all units, and exports PIM-ready files. New supplier onboarding: upload, AI suggests mappings, review, done in 30 minutes.

One tool, all clients, standard process

Your agency manages 12 e-commerce clients, each with different suppliers, schemas, and systems. No standard process. When an account manager leaves, their process is undocumented.

  • Separate workspace per client — isolated schemas and adapters
  • Standard workflow across all clients: upload → map → review → export
  • New account managers learn one tool, not 12 processes
  • Client onboarding: 1–2 days instead of 2–3 weeks
  • Bill clients for the service, not your team's spreadsheet time

BEFORE

"Each account manager handles data differently. Some use Excel templates, some have scripts, one uses Google Apps Script. When someone leaves, their process is incomprehensible."

AFTER

"One workspace per client. One standard process. Knowledge stays in the system, not in someone's head."

50 manufacturers. One clean catalog.

You receive product data from 50+ manufacturers worldwide. Data comes in every language, every format, every structure. Your team spends full-time on data cleaning.

  • AI handles multilingual mapping: "Schwarz" → "Black", "Stål" → "Steel"
  • Canonical schema defined once, adapters per manufacturer
  • Health reports flag missing critical fields before data reaches retailers
  • New manufacturer onboarding: 2 hours instead of 2 weeks
  • Team focuses on data quality, not data entry

SCALE

"We receive data from 50+ manufacturers in German, French, Dutch, Swedish, and English. Adding a new manufacturer used to take 1–2 weeks of mapping work."

RESULT

"AI suggests mappings, adapters handle the rest. New manufacturer onboarding takes 2 hours. Our team of 3 handles 50 manufacturers without breaking."

Simple, Transparent Pricing

All features on all plans. Plans gate scale, not capabilities. Unlimited users always.

Starter
$ 39 /mo

For small teams with a few suppliers.

  • 3 feeds
  • 10,000 rows
  • 1 workspace
  • Daily export schedule
  • 5 AI bonus credits/mo
  • Unlimited users
  • All features included
Start Free Trial
Business
$ 149 /mo

For large teams and agencies with high-volume data.

  • 30 feeds
  • 200,000 rows
  • 5 workspaces
  • Hourly export schedule
  • 30 AI bonus credits/mo
  • Unlimited users
  • All features included
Start Free Trial

Need just one more feed or workspace? Add-ons available on all plans. AI credit packs from $10. See full pricing details →

Teams Trust FeedPrep With Their Product Data

"We onboard 30+ suppliers. Before FeedPrep, each new supplier meant a week of cleanup. Now the second feed from any supplier takes five minutes. The adapters just work."

JK
Julia K.
E-commerce Manager

"We replaced three Python scripts and a shared Google Sheet with FeedPrep. Our PIM team can now handle supplier data themselves without waiting on engineering."

MR
Marco R.
PIM Lead

"Our webshop filters finally work properly. No more 5 variants of 'Black' in the color dropdown. Every supplier value goes through our approved list."

SL
Sarah L.
Product Data Manager

Frequently Asked Questions

Stop Importing Problems Into Your Systems

Start your free trial. Set up your first supplier adapter in 15 minutes. Watch the next feed take 5.