Implementing a PIM: Detailed Steps

Author name: Mark Chickering

PIM - Product Information Management

PIM implementation is the process of moving your product data into a product information management system, structuring it, connecting the PIM to your ERP, ecommerce platform, and sales channels, and getting your team to work in it every day. For a single store with clean data, it can take a few weeks; with a large catalog, several data sources, and ERP integration, expect several months.

The software is rarely the hard part. Most delays come from messy source data, decisions about attributes that nobody owns, and integrations that were scoped too late. This guide walks through the steps in the order they actually happen, with a realistic timeline, a section on data migration, the problems that stall projects, and a checklist you can copy.

PIM Implementation Timeline

How long PIM implementation takes depends on three things: catalog size, the number of data sources, and how many systems the PIM has to connect to. Industry guides put full implementations at 3 to 12 months, but that range covers everything from mid-size catalogs to enterprise rollouts. Here is what each phase typically takes:

In practice, phases overlap: cleanup continues during migration, and training starts during the pilot. A single store moving from spreadsheets can be live in 1–2 months. A manufacturer or distributor with an ERP integration, a large catalog, and several channels should plan for 3–6 months or more.

Before You Start: Goals, Team, and Scope

Three decisions made before the first import save the most time later.

• Measurable goals. "Better data" is not a goal. "New products live on all channels within 2 days of arrival" or "zero marketplace listing errors" is. Pick 2–3 metrics and record today's baseline.
• A project owner. One person who knows the catalog and can make decisions about attributes and workflows. Without an owner, every structural question turns into a meeting.
• A defined first scope. Decide which categories, channels, and integrations go live first. Everything else becomes phase two.

Involve the teams that will use the PIM early — product management, marketing, ecommerce, IT, and technical documentation. They know where data comes from today and which fields each channel requires. If you're still comparing systems, start with what a product information management system does and which features your team actually needs.

PIM Implementation Steps

1. Audit Your Current Product Data

List every place product data lives today: ERP, spreadsheets, supplier files, the ecommerce admin, shared drives with images and PDFs. For each source, note who maintains it and how current it is. Then check the data itself: duplicates, missing values, inconsistent units ("cm" vs "centimeters"), and SKUs that exist in one system but not another. Clean the obvious problems before migration — moving bad data into a new system only makes it faster to publish.

2. Design the Data Model

The data model defines how products are described in the PIM: categories, attribute groups, attributes, and their formats. Define which attributes are required for each product type — a dining table needs dimensions and materials, a spare part needs compatibility and certifications. Decide on units, allowed values, and languages up front. Well-defined attributes are the foundation of PIM best practices; adding them randomly per channel later is how data models become unmaintainable.

3. Set Up Product Variants

If your products come in several versions, define which attributes vary (size, color, configuration) and which are shared by the parent product. A shirt in three sizes and three colors produces nine variants, each with its own SKU, price, stock, and ideally its own images. Setting up the parent–variant structure correctly now prevents duplicated descriptions and mismatched images later.

4. Migrate Your Product Data

Import products, categories, attributes, and digital assets into the PIM, starting with a sample of one category to test the mapping. Once the sample is correct, run the full import. The next section covers migration in detail.

5. Connect the PIM to Your Systems

The PIM sits between the systems that create product data and the channels that publish it. Typical integrations:

• ERP — sends SKUs, prices, and stock to the PIM.
• Ecommerce platforms — Shopify, WooCommerce, Magento, or a headless storefront receive enriched product data from the PIM.
• Marketplaces and feeds — Amazon, Google Shopping, and retail partners, each with their own attribute requirements.
• Supplier data — spreadsheets or APIs imported on a schedule.

Standard connectors are set up in days. A custom ERP integration takes longer, so scope it early and don't leave it for the end of the project.

6. Set Up Workflows and Data Governance

Decide who creates products, who enriches them, and who approves them before publishing. Assign ownership per field type — for example, product managers own specifications, marketing owns descriptions, and ecommerce owns channel-specific fields. Set user roles and permissions, and use completeness rules and quality control so incomplete products can't go live.

7. Test and Run a Pilot

Start with one category, one channel, or one team. Check that data arrives in each channel correctly: attribute mapping, images, variants, prices, and translations. Collect feedback from the people using the system every day, fix issues, and only then expand to the full catalog.

8. Train Your Team and Go Live

Train users by role, not with one generic session — a content editor and an ERP administrator need different things. Set a date to retire the old spreadsheets. If the team keeps updating the old files "just in case", the PIM never becomes the single source of truth. After launch, track the goals you set at the start and review the data model every quarter as catalogs and channels grow.

PIM Data Migration: How to Move Your Product Data

PIM data migration is the transfer of products, categories, attributes, and digital assets from your current systems into the new PIM. Most migrations take 1–2 weeks. Large catalogs, several source systems, or large media libraries take longer, mostly because of mapping and cleanup rather than the transfer itself.

A reliable migration follows this order:

1. Map fields. Match every source field to a PIM attribute. Decide what to merge, split, or drop.
2. Clean before you move. Remove duplicates, standardize units and values, and fix broken SKUs in the source.
3. Test with a sample. Import one category and check it field by field.
4. Run the full import. Products, variants, categories, attributes, and images, linked to the right SKUs.
5. Validate. Compare product counts, completeness, and random samples against the source.
6. Switch over. Keep the old system running until the PIM is validated, then move updates to the PIM only.

Migrating from another PIM (Akeneo, Pimcore, Salsify) is usually faster than migrating from spreadsheets, because the data is already structured. Migrating from an ecommerce platform (Shopify, WooCommerce, Magento) is somewhere in between: the products exist, but attributes are often stored as free text.

Common PIM Implementation Problems and How to Avoid Them

• Data cleanup treated as a side task. When cleanup is done "in spare time", it takes months. Assign people and hours to it as part of the project plan.
• No single owner. Every department wants its own attributes and rules, and decisions stall. One project owner with authority to decide fixes this.
• Attributes added per channel on demand. Patching the data model for each new marketplace creates duplicates and conflicts. Design the model first, then map channels to it.
• ERP integration scoped too late. It's usually the longest technical task. Plan it during discovery, not after migration.
• Parallel spreadsheets that never die. If people keep editing old files, data diverges again. Set a firm cut-off date.
• One-size-fits-all training. Non-technical users drop off when training doesn't match their daily tasks. Train by role and give each team a simple workflow.

PIM Implementation Checklist

Use this checklist as a template for your project plan.

Implementing PIM In-House vs With Your Vendor

You can implement a PIM with your own team, with an implementation partner, or with the vendor's team. Doing it in-house works when you have a small catalog, clean data, and standard connectors. Vendor or partner help pays off when you need data migration from several sources, a custom ERP integration, or a tight launch date.

Here is how three PIMinto customers with very different setups approached implementation.

Hussmann: From Spreadsheets to Real-Time Ecommerce Data

Hussmann, a Panasonic company that manufactures commercial refrigeration equipment, sells thousands of replacement parts online, each with competitor compatibility data. Implementation started with a spreadsheet import to build the product foundation. Feeds were then set up to pull new products and SKUs nightly from external business-system APIs, and the headless ecommerce site was connected to PIMinto's APIs so every change appears on the site immediately. Images and 360° spin sets are uploaded in bulk and assigned to the right SKUs automatically. All of it runs on standard features, without custom development. Read the Hussmann case study.

RBI Corporation: Implementing PIM for 250,000+ SKUs

RBI, a distributor of outdoor power equipment with warehouses in three states, needed a single source of truth for over 250,000 SKUs sold across retail, wholesale, and dealer channels. The implementation combined scheduled imports from business systems, supplier data mapped through a visual tool that non-technical staff can use, and real-time API connections to headless ecommerce sites, each serving its own subset of SKUs. Read the RBI case study.

Vermeer: One Integration Instead of 150

Vermeer, an industrial and agricultural equipment manufacturer operating in 60+ countries, wanted retail customers to order parts online and pick them up from 150 independent dealers. Master parts data was loaded from spreadsheets and APIs, and each dealer received its own access to manage pricing and availability without seeing other dealers' data. Instead of 150 separate integrations, the ecommerce platform connects to PIMinto through a single API. Read the Vermeer case study.

PIMinto's team handles PIM implementation with you: free data migration, integration with your ERP and sales channels, and hands-on support after launch.

Modified on: 2026-09-25