Supplier files in every format
PDFs, CSVs, partial Excel exports, and price lists by email arrive every week. Someone opens them, compares them to last month's version, and types corrections into a master sheet.
Custom software for e-commerce operations
Turn supplier chaos into product records that can go live
We build product data automation for e-commerce teams that need to ingest supplier files, normalize attributes, enrich records, and publish sellable listings on marketplaces and channels, without an army of spreadsheets retyping the same SKU six times.
For brands and retailers with multiple suppliers, channel-specific attribute rules, and a catalog dashboard that says complete while a marketplace still rejects the listing.
The gap
Complete in the PIM does not mean sellable on the channel
The problem is not missing data in one place. It is the distance between what the internal record contains and what Amazon, Zalando, Google Shopping, or your shop requires before a product goes live, at the right price, with stock aligned to reality.
What this looks like in a real merchandising week
Spreadsheet truth
The real catalog lives on shared drives: one tab for attributes, one for channel mapping, one for prices. Version conflicts are resolved by whoever edited last.
Channel-specific attribute requirements
Every marketplace wants different fields, units, and category trees. A product can be ready for your shop and fail elsewhere because a mandatory attribute is missing or mapped incorrectly.
Manual re-entry between systems
Data goes into ERP or PIM, then someone copies variants, images, and descriptions into channel tools. The same SKU is updated in three places; one is always behind.
Prices and stock out of sync
A supplier changes cost or availability. The shop updates. A marketplace feed still shows yesterday's price until someone notices a margin error or a spike in cancellations from overselling.
Misleading completeness scores
The dashboard shows 100% complete while listings are rejected for size charts, GTIN rules, or image specs you did not know that channel enforced until go-live failed.
If the dashboard says complete but the channel says no, the gap is usually mappable. Tell us your suppliers and destinations.
The distinction
The problem is not another PIM screen. The problem is that sellable data still has to be assembled by hand.
If enrichment only saves internal fields, the team still has to interpret supplier files, map attributes per channel, fix validation errors, and reconcile price and stock before anything can go live. That is where the time goes.
Spreadsheet and portal workflow
- 1Receive supplier file
- 2Normalize and copy by hand into systems
- 3Fix listing rejections one at a time
Automated catalog pipeline
- 1Ingest supplier and internal sources
- 2Normalize attributes to your rules
- 3Map and validate per channel
- 4Enrich missing sellable fields
- 5Publish or queue exceptions for review
Ingestion and validation can run on rules, not copy-paste. Let's talk about your catalog or book a short call.
What we build
A catalog automation layer on the systems you already use
We do not ask you to replace your shop, ERP, or existing PIM on day one. We build software that ingests supplier and internal data, applies attribute and channel rules, and writes sellable records where you already manage products.
Sellable on a channel is a set of rules, not a checkbox in the dashboard.
Possible integrations depend on the project. Below are examples of systems we can connect to. It is not a promise that every platform is already supported out of the box:
Commerce and PIM
- Shopify
- WooCommerce
- Magento / Adobe Commerce
- Akeneo, Plytix, or custom PIM
Marketplace and feeds
- Amazon
- eBay
- Zalando
- Google Shopping
- Custom channel APIs
Supplier and master data
- Supplier SFTP and email drops
- ERP item master
- Spreadsheet imports
- Image and asset storage
Operations
- ERP pricing
- Inventory / WMS
- Internal approval workflows
- Custom business APIs
The implementation is tailored to your suppliers, category model, and channel mix. If a source has a stable file format or API, it can usually be connected. If not, we say so in discovery.
Use cases
Workflows that turn raw supplier input into listings that pass validation
Exact scope depends on suppliers, channels, and how strict governance needs to be. These are the workflows we automate first because they have high volume and clear boundaries.
Supplier onboarding
A new supplier's files are parsed, matched to your SKU model, and routed through attribute templates so the first import is structured, not a blank spreadsheet row.
Attribute normalization
Sizes, colors, materials, and category paths move from supplier vocabulary to canonical values before they reach a channel mapper.
Channel mapping
Internal attributes map to marketplace-specific fields and category trees, with validation rules applied before publication, not after rejection.
Bulk enrichment
Missing titles, bullets, size charts, GTINs, or image sets are flagged, enriched from rules or approved sources, and held for review when confidence is low.
Price and stock sync
Supplier cost changes, list prices, and availability propagate to shop and channel feeds on a schedule you control, with exceptions when margins or stock violate rules.
Listing validation
Before go-live, every listing is checked against channel requirements. Failures become tasks with the missing field or rule attached, not a generic incomplete status.
These are the workflows we automate first. Which ones block the most listings today?
Architecture
How supplier data becomes a sellable channel listing
The pipeline is explicit software: ingest, normalize, map, validate, publish, and exception logging. Not a model that guesses product attributes from a PDF without rules and audit.
Sources
Supplier files, ERP, PIM, images, price lists
Ingestion layer
Parse, SKU match, change detection
Rules engine
Attributes, mapping, margins, completeness
Target systems
Shop, PIM, marketplace, feed endpoints
Outcome
Published listing or exception queue with reason
What the implementation typically includes
Supplier ingestion
Scheduled or triggered imports from the formats suppliers actually send, with change detection so you do not reprocess unchanged rows.
Canonical product model
One internal representation for variants, attributes, media, and prices that channels map from, instead of each channel maintaining its own copy.
Channel validation
Per-channel rules run before publication. Rejections include field, rule, and SKU so merchandising fixes the cause, not the symptom.
Exception handling
Low-confidence matches, margin violations, and missing mandatory fields go to a review queue with enough context to decide on the first pass.
We do not promise a universal connector for every marketplace or supplier format. Discovery defines which sources and channels belong in the first release and which stay manual.
Economics
Why catalog automation is worth engineering, not another manual hire
If listing preparation scales with SKUs and channels, spreadsheet labor and rework cost grows faster than revenue from new products. Custom automation is an investment against that recurring work, and against listings that never go live because validation fails late.
The ROI logic, without invented numbers
Less manual re-entry
Hours copied between PIM, shop, and marketplace tools drop when ingestion and mapping run on defined rules.
Fewer rejected listings
Validating before publication reduces the go-live, reject, fix, resubmit cycle that burns merchandising time and delays revenue.
Faster time to shelf
New SKUs and supplier drops reach sellable status in hours or on schedule, not after someone clears a spreadsheet backlog.
Price and stock accuracy
Synchronized updates reduce margin loss from stale marketplace prices and cancellations from overselling that support and ops then have to clean up.
Build vs buy
When custom catalog software is the better economic decision
Sometimes a ready-made PIM or feed tool is the right answer. If suppliers, channels, and governance fit a standard product, subscribe. Custom work is for when attribute model, supplier mix, or channel rules are specific enough that adapting the company to the tool costs more than building the pipeline around how you already sell.
Off-the-shelf SaaS
- Predefined PIM or feed workflows
- Recurring subscription by seat or SKU tier
- Standard marketplace connectors
- Limited flexibility on supplier formats
- The company adapts to the product's data model
Custom implementation
- Built around your suppliers and channel rules
- Ingests the file formats you actually receive
- Custom validation, margins, and approval paths
- Integrates with the ERP, PIM, and shop you already use
- You own mapping logic and audit trail
- Optional maintenance after handover
Akeneo or Plytix is often the honest answer when you need enterprise PIM governance at scale. Channable is often enough for standard Google Shopping feeds under roughly a thousand homogeneous SKUs. We will say so if it fits. Custom work makes sense when complete in the dashboard is not yet sellable on the channel.
Engagement
How the work is delivered without replacing everything on day one
Implementation can start with one supplier source and one channel, then expand. You do not need a multi-year PIM migration to see whether automated ingestion and validation removes real work.
- 01
Discovery
Suppliers, channels, current tools, attribute model, and what sellable means for each destination.
- 02
Source and channel audit
We map sample files, rejection reasons, and unofficial spreadsheet steps merchandising uses today.
- 03
Pipeline design
Ingestion, canonical model, mapping, validation rules, and exception queues scoped to the first release.
- 04
Build and integration
We connect sources and targets with the credentials and approval paths you designate.
- 05
Testing
We replay real supplier drops and listing failures. We confirm publish, blocks, and review routing as specified.
- 06
Rollout and expansion
Progressive channel coverage, rules tuned on live rejections, optional maintenance for new suppliers or marketplaces.
We do not quote a universal timeline or fixed package price on this page. Duration follows supplier complexity, channel count, and how clean the canonical model already is.
Start with one source and one channel. Expand when it works. Let's talk about your catalog or book a call.
Questions
Direct answers
Let's map what sits between supplier files and a product record that actually goes live
Bring a sample supplier drop, your channel list, and a recent rejection log. We will tell you what is realistically automatable, what stays in review, and when a ready-made PIM or feed tool is the more honest recommendation.