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Best PIM Software: Top 10 PIM Solutions for E-commerce
Stephan Spijkers · 2025-03-24 · Updated 2026-10-13 · 20 min read

The best PIM software is the one that fits your catalog, your channels and your team. A system that works well for a fashion retailer with many variants can be a poor choice for a wholesaler with technical products and supplier data in several standards, so a ranking only helps once you know what you need. This guide covers what PIM software does, why it matters for e-commerce, how to compare platforms, which architecture choices to make, our top 10 PIM solutions for e-commerce, and the pitfalls to avoid once you have chosen. New to the category? Start with what product information management is.
What PIM software does
PIM software keeps the product range in one place and gives people a screen to maintain it. It holds technical data, descriptions, marketing and SEO text, images, technical drawings, logos, icons and downloadable documents, so nobody hunts for the current value across Excel, the ERP and a shared drive. Why that beats a spreadsheet is in PIM vs Excel.
Product range Example
⌕ Saved search: missing an image
- Pump P-100
- Pump P-200
- Pump P-300No imagep-300.jpg, by reference
- Pump kit K-1
WebshopWhole range, search and filters
Print catalogA selection, customer-specific prices
Price listPriced for one customer
Product sheetOne action: images, drawings, icons, attributes
Not every product does every job below, and the differences rarely show in a standard sales demo, where the vendor decides what to show. Use the lists as a checklist: ask each vendor to show the items you need with your own data, and note which ones need extra configuration, a separate module or a partner.
Maintain and search the range
- Search and replace across the whole assortment or on one characteristic. Typical saved searches: articles missing an image, a description or a language.
- Images by reference. The file does not have to live inside the PIM. If it sits in the right folder, the record holds the file name and the link is resolved on export.
- Assortment order per publication. A website, a print catalog, a sub-catalog and a price list each get their own order of groups and products.
- Classification against ETIM, GS1 or another standard, exported to a data pool or published to web and print.
- Users and rights. Several people work in the system, and privileges can limit a user to one slice of the product data.
- Excel round-trip. Copy articles out to Excel, edit them there, and paste them back in one action. That is the fast path for a batch change.
- Languages, each one shown, completed, imported and exported, non-Western languages included.
- Selections. Each channel or publication takes its own cut of the database: a season, a trend, or only the newest products.
- Screen layouts with languages side by side for translation, or attributes in tabs for checking.
- Logs that show which articles arrived and which expired after an ERP update.
Of these, saved searches and the Excel round-trip say the most about daily work, because a product content team uses them many times a day. Let the people who will do that work try them during the demo, since a function that takes several screens to reach will hardly be used.
Import
Titles, texts, article numbers, properties, PDFs and images arrive by hand, from Excel, from the ERP or from a classification file. Prices, stock, weight and other trade data are the usual ERP import. A wholesaler can classify in the PIM and also read classified supplier data, and a producer can read the same kind of file. Later updates to price, stock or images come back in through an import file.
Publish and export
Publication options differ by product, so do not assume that a demo showing one of them includes the others.
- Website or webshop: product information goes straight to the site, with search, filters and the related product facts.
- Print catalog: print software reads the PIM and builds a full or partial catalog, a catalog with customer-specific prices, or a data sheet with images and technical drawings.
- Price list: a selection of products, optionally priced for one customer.
- Product sheets: one action turns the record into a laid-out sheet with images, drawings, icons and attributes.
Print is where products differ most. Some PIMs include print templates, while others hand the data to separate print software, so if a printed catalog, a price list or product sheets matter to your business, ask to see the full route from the record to the finished page.
Why PIM software matters for e-commerce
Online, accurate and complete product information decides whether a customer buys, because the page has to do the work a salesperson does in a store. A PIM helps in several ways. Website, apps, marketplaces and social media show the same facts, which reduces confusion and builds trust. Updating and distributing product information takes less work, so a new product goes live sooner. Quality rules live in one place, which you need both for regulatory requirements and for customer satisfaction. Every product page gets accurate descriptions, good images and relevant specifications. And you can grow the range and add channels without losing control or accuracy.
Customers also expect current availability, complete details on features and recommendations based on what they bought before. Regulators look harder at product data too: rules such as GDPR and industry-specific standards ask for a PIM that handles sensitive information securely and is easy to update when the rules change. All of this depends on ongoing data governance, meaning clear owners and rules for the data. Without that, even a well-chosen PIM fills up with incomplete and outdated records again.
How to compare PIM software
A feature grid tells you what a product claims to do, while your own needs and growth plans tell you which of those claims matter. Start from the second and use the grid to check them. These are the criteria we use, each with the mistake buyers most often make on it.
- Ease of use. Clear dashboards and navigation shorten training for teams without deep technical skills. A good-looking interface is no proof of that, and teams tend to overestimate how well they will adapt to a complex system, so let your own people test it during the evaluation.
- Integration. Look for ready-made connectors and APIs for your e-commerce platform, ERP, CMS and CRM. Teams underestimate the time a working integration takes: a B2B distributor that skips its legacy ERP link in the evaluation meets it later as a disrupted workflow.
- Scalability and performance. The system has to handle more products, channels and data without slowing down. Buyers trust claims of unlimited scalability and then hit performance problems on heavy data integration, or when new data sources are added as the catalog grows.
- Data model. Custom attributes and relationships between products decide how well a complex catalog is represented in every channel. Buyers often pick ease of use over this flexibility and regret it when the catalog grows.
- Data governance. Version control, role-based permissions, audit trails, validation rules and completeness scoring keep the data reliable once many people work in it. Why this pays off is in top 5 reasons for data governance.
- Multichannel publishing. The PIM has to serve every channel you sell through, from your own webshop to marketplaces and social media, with the same specifications and prices. In B2B that includes catalogs per distributor under central control. Companies underestimate how much work each extra channel adds.
- Workflow and collaboration. Approval flows with notifications, for example for new listings, cut manual checks and shorten time to market. Expect to realign some current processes, and train people on these features.
- Customization. Tailored workflows, attributes and templates add cost, implementation time and maintenance, without guaranteed improvement. Out of the box is simpler but may miss what your industry needs, so check that each customization justifies its cost.
- Performance analytics. Some systems report on product performance and customer interactions, such as conversion per channel, which helps when you optimize the range.
- Support, community and roadmap. You need documentation, tutorials and responsive service during implementation and after, and a user community for problems specific to your catalog. Do not count on roadmap features arriving on time.
- Total cost of ownership. Add up the license or subscription, implementation including data migration, training, maintenance and support, and the cost of scaling back later. Return comes from fewer data errors and faster updates, but it builds up after the team has adopted the system. Price ranges per segment are in PIM costs compared.
- Reviews and case studies. They show performance problems and benefits that a demo or marketing material will not.
Not every criterion weighs the same for every company. A retailer with a simple catalog and many channels will weigh multichannel publishing and ease of use heavily, while a manufacturer with spare parts and technical data will care most about the data model and integration with the ERP. Decide the weighting before the first demo, so that an impressive presentation does not change it afterwards.
Write down your scope
List your channels, the size and structure of your catalog, your languages and markets, and the systems the PIM must connect to. Every vendor has to answer to this scope, which makes their answers comparable and keeps the conversation on your situation.
Rank your requirements
Split must-haves from nice-to-haves before the first vendor call. A system that misses a must-have drops out, while a missed nice-to-have should not decide the shortlist. Doing this early stops a single attractive feature from carrying more weight than it deserves.
Build a shortlist of up to five
Start from the top 10 below, or let the free PIM Scan filter the market on your scale, region and requirements. Five vendors is enough to compare properly, and more than that stretches the team's time for demos and follow-up questions.
Run scripted demos with your own data
Give every vendor the same script and a real slice of your catalog: a supplier file, a product with all its variants, an export to your main channel. Let the people who will use the system every day score what they see, because they will notice the extra clicks and workarounds that a manager watching the demo misses.
Check references and the total cost
Ask for references with a similar catalog and channel mix, and ask them what took longer than planned. Price license, implementation, connectors, training and support over three to five years before you compare offers.
The full method, including a seven-day selection sprint, is in how to select the right PIM. The PIM RFP guide turns the shortlist into a tender.
Architecture choices
SaaS or on-premise
Cloud-based (SaaS) PIM fits a company that expects growth or a changing catalog. The vendor runs the infrastructure and the updates, access works from anywhere, and you scale for peak seasons without buying hardware. It depends on a reliable internet connection, and security has to be part of the plan from the start.
On-premise PIM gives more control over data security and customization, which suits organizations with strict compliance requirements or sensitive information. The cost is ongoing IT support and infrastructure, and teams tend to underestimate it. More in on-premise or cloud PIM.
Best-of-breed or suite
A best-of-breed PIM offers more depth in product data management but takes more integration work with the rest of the stack. A suite, such as DynamicWeb with PIM, commerce and CMS in one platform, gives a more cohesive experience but may lack depth in some areas. A suite does not simplify the landscape by itself, and it underperforms when it does not meet each department's needs. Check each module against the requirements of the team that will use it, as if it were a separate product.
APIs or middleware
APIs exchange data in real time between the PIM and the ERP, shop or CMS, so listings update when stock changes or a product launches. Middleware bridges legacy systems that do not support modern integration, such as an outdated ERP, but it adds complexity and needs its own maintenance. In both cases teams tend to overestimate their technical capacity, which leads to delays and higher costs.
Top 10 PIM software for e-commerce
A top 10 runs against how we work: every organization needs its own shortlist, built from its current organization and future ambitions, which is what the free PIM Scan does. Read this list as ten systems with a clear focus on retail and e-commerce, in no particular order. Your own shortlist may look completely different.
The founding year, headquarters and the fit and watch-out notes for each system are also on its vendor profile, which has more detail. Where a profile does not have a full assessment yet, the note below says so.
1. ConnectingTheDots
Dutch SaaS PIM, founded in 2008, built for online retailers that want their product data in order. In 2024 it entered the Emerce 100.
- Fits: Benelux retailers, wholesalers and multi-brand webshops with messy supplier data. Automated supplier onboarding is its clearest strength, including feeds such as Icecat and fashion supplier feeds, and the interface is user-friendly for less technical colleagues.
- Check: it is not an enterprise multi-domain MDM, and GS1, GDSN and ETIM publication depend on a partner, so budget for that mapping.
ConnectingTheDots profile. Customer story: de Bijenkorf.
2. KatanaPIM
Dutch SaaS PIM, founded in 2018, for small and mid-market teams with increasingly complex catalogs.
- Fits: merchants and wholesalers on Magento, Shopify or Shopware with an ERP such as Exact, and catalogs heavy on variants and specifications. Pricing tiers are published and every plan includes the API.
- Check: GS1, ETIM and GDSN run through partner middleware, and native AI features are limited, so budget separately for AI content tools.
KatanaPIM profile. Customer story: Bata Industrials.
3. Crystallize
Norwegian SaaS platform, founded in 2017, that manages product data, content and media in one backend, with a strong emphasis on content.
- Fits: digital-native D2C or B2B commerce teams that want structured product storytelling, subscriptions and multi-market pricing behind custom storefronts, and have engineering capacity. Base pricing tiers are published.
- Check: it is not a pure PIM for ERP-centric catalog operations, and it has no native GDSN, ETIM or marketplace syndication, so budget a custom build or rule those needs out early.
Crystallize profile. Customer story: Sweef.
4. novomind iPIM
German retail PIM, founded in 2000, available as SaaS, cloud-hosted or on-premise.
- Fits: mid-size and large European retailers, wholesalers and buying cooperatives with hundreds of supplier catalogs. Governed supplier onboarding, BPMN workflows, native DAM and print automation are its strengths, with named references such as HolzLand, Transa and PUMA.
- Check: syndication and real-time channel scenarios often assume novomind's own iMARKET and iSHOP products, and its GDSN certification covers receiving data more than publishing it.
novomind iPIM profile. Customer story: Transa.
5. DynamicWeb
Danish suite, founded in 1999, that combines PIM, e-commerce, CMS and marketing in one platform: an example of the suite approach.
- Fits: mid-market B2B and B2C companies on Microsoft Dynamics that want web, commerce and catalog enrichment in one platform, including print and dealer portals.
- Check: it is a suite first. Shortlist it as a PIM only if your scope is enrichment and syndication, and expect partner work for GS1 or ETIM.
6. Ergonode
Polish SaaS PIM, founded in 2018, with a focus on user experience.
- Fits: mid-market digital brands and retailers that want an enrichment interface non-technical users find their way in, API and headless delivery, and product DAM included, with published pricing.
- Check: it is not proven as GS1-native or as a multi-domain MDM, and the maturity of its supplier portal is unclear, so test supplier onboarding in the demo.
7. Bluestone PIM
Norwegian SaaS PIM, founded in 2013, on a microservice architecture. Bluestone describes its platform as API-first, built for large catalogs and frequent updates.
- Fits: manufacturers, wholesalers and retailers with large catalogs across several markets and channels, and a composable commerce stack. The data model covers variants, bundles and configurable products, and AI features draft descriptions, translate content and flag data issues.
- Check: deployment effort, proof of standards support and commercial terms. In a composable setup the connectors are yours to build or buy.
8. Plytix
SaaS PIM, founded in 2015, for small and mid-sized businesses that want to manage product data without a large budget.
- Fits: teams on Shopify or WooCommerce that want product data in one place, comments and tagging inside product entries, and publishing to several sales channels.
- Check: its fit is less well documented, so test the data model, connectors and pricing as the catalog grows in a scripted demo.
9. Quable
SaaS PIM, founded in 2013, built for brands that need accurate product information and simpler internal workflows.
- Fits: brand teams that want a short learning curve on complex catalogs, comments and edits inside product entries, and distribution to marketplaces and social platforms.
- Check: its fit is less well documented, so test governance, connectors and commercial terms in a scripted demo.
10. Sales Layer
Spanish SaaS PIM, founded in 2013, for teams that want to sort out product data without much complexity.
- Fits: mid-market manufacturers, brands, distributors and B2B suppliers that want a marketer-friendly PIM with Amazon, Google and Shopify connectivity, quality scoring and, optionally, Ariba punchout.
- Check: GS1 and GDSN are not native, so expect a partner and extra cost. It is not MACH-certified: if you build a composable stack, compare its API and event model with Bluestone or Akeneo.
Also worth a look: Akeneo and Salsify
- Akeneo is a French PIM, founded in 2013, sold as SaaS (Product Cloud). It is sunsetting its open-source Community Edition, so plan for the SaaS product, or look at Pimcore or AtroPIM if you want to self-host. It fits brands and retailers that put multi-channel product experience, an API-first architecture and supplier onboarding first. It does not replace a multi-domain MDM, and GS1, ETIM or digital product passport support needs proof in a proof of concept. See the Akeneo profile and our Akeneo alternatives.
- Salsify is a Boston product experience platform, founded in 2012, aimed at brands that sell through retailers and marketplaces. A mid-sized apparel retailer can use it to centralize supplier data and keep its website and marketplaces consistent. In August 2026 the investor Cinven agreed to acquire it. See the Salsify profile and our Salsify alternatives.
Both suit companies whose product lines change often, and that scale comes at a cost: significant time and resources for the initial setup and for ongoing management. Plan the internal capacity for that before you shortlist either of them.
Implementation pitfalls to avoid
Most PIM projects that disappoint do so for reasons that have little to do with the software. The same five problems come back in many projects, and each of them can be planned for.
What works starts with the data. Audit it before the migration to find the gaps, and migrate in steps to limit disruption, so that one product group can be checked and corrected before the next one moves. Treat data quality as ongoing work that continues after the migration, with owners and rules, because a clean starting point degrades quickly without them.
Start with a pilot on one product line, refine the process, then roll out to all categories. The pilot is also where you win support: involve every team early and show the gains in the pilot or a workshop, such as fewer manual entry errors and faster updates across channels, and keep communicating after that. Finally, budget for continuous training, and use the vendor's documentation and user community, so that new colleagues and new features do not depend on the people who happened to attend the first training.
The phases of a rollout are covered in PIM implementation phases.
Where PIM software is heading
A few developments will shape how PIM software is used in the coming years, and they are worth weighing when you choose a system you will keep for a long time.
AI is taking over parts of data entry and quality control, such as categorizing products by size, color and material, and analytics can read purchase patterns to keep popular items in stock. Both need a solid data strategy, and nuanced decisions still need human oversight. See what AI inside a PIM actually does.
Personalization and localization ask for recommendations based on customer data, and for multilingual, localized content that stays consistent with the brand. Teams often underestimate the technical requirements behind both. Omnichannel consistency raises the bar further: changes have to reach every channel in real time, physical stores included, so that a product is not shown in stock when it is not.
Data standards and sustainability data complete the picture. Aligning product information with a standard such as GS1 makes data easier to move between platforms, but it takes planning, agreement among stakeholders and some disruption during the transition. Accurate product data also helps optimize stock and reduce waste, and a PIM can track attributes such as material sourcing and shipping emissions for transparent reporting.
Related guides
- What is PIM?: the definition and how a PIM works.
- How to select the right PIM: the full selection method.
- Open source PIM compared: free and open-core options.
- PIM for retail, PIM for manufacturing and PIM for wholesale: long lists per sector.
- Takeaways from the Gartner Market Guide for PIM: the analyst view of the market.
Where to go from here
Frequently asked questions
What is PIM software?
PIM (product information management) software collects product data from the ERP, suppliers and spreadsheets, lets teams structure and enrich it, checks it, and publishes one approved version to the webshop, marketplaces, print and partners. PIM tool, PIM platform and PIM solution are other names for the same software.
What is the best PIM software for e-commerce?
There is no single best PIM. Our top 10 for e-commerce, in no particular order, is ConnectingTheDots, KatanaPIM, Crystallize, novomind iPIM, DynamicWeb, Ergonode, Bluestone PIM, Plytix, Quable and Sales Layer, with Akeneo and Salsify as two more names to consider. The right one fits your catalog, channels, integrations and team.
Which PIM tools are on the market?
The market runs from SaaS PIMs for small teams to enterprise suites that add MDM and DAM, with open source and open-core systems such as Pimcore and AtroPIM in between. Our vendor directory keeps a profile per system, and the free PIM Scan filters the market on your scale, region and requirements and returns a shortlist.
How do you compare PIM software?
Start from your own catalog, channels and growth plans, and use a feature grid only to check them. Compare the data model, integration with your ERP and shop platform, usability for your own team, governance, multichannel publishing, scalability, support and the cost over three to five years, and test with your own data in a scripted demo.
Should you choose SaaS or on-premise PIM software?
SaaS (cloud) PIM suits companies that expect growth or a changing catalog, because it scales and works from anywhere, but it needs a reliable internet connection and a security plan. On-premise PIM gives more control over data security and customization, at the cost of ongoing IT support and infrastructure.
Should you choose a best-of-breed PIM or a suite?
A best-of-breed PIM offers more depth in product data but needs more integration work with the rest of your stack. A suite that combines PIM with commerce and CMS gives one platform but may lack depth in places. A suite only simplifies the landscape when it meets each department's needs.
What does PIM software cost beyond the license?
Total cost of ownership also covers implementation including data migration, connectors, staff training, and ongoing maintenance and support. Return on investment builds up gradually after the team has adopted the system, rarely right after go-live.
Why do PIM implementations go wrong?
The usual causes are migrating poor-quality data without cleansing it, underestimating integration work and timelines, teams working in silos, and assuming the first training is enough. Plan data cleansing, a phased rollout and ongoing support from the start.
Diagnostic
Do you actually need a PIM?
Run the complexity index before you budget software or hire an SI.
Budget
Model a first-pass TCO
Translate catalog shape into a three-year cost range in under ten minutes.
