AI can fill gaps in a product catalog, but a completed field is not necessarily a verified fact. A specification may belong to another model or come from an assumption the source never confirms.
See how Leroy Merlin Ukraine modernized product catalog management for 40,000+ SKUs through PIM migration, ERP integration, and rule-based automation.
Product data enrichment runs from about $0.30 to $0.75 per record on published self-service pricing, and large catalogs are quoted per project. The spread comes from what you send in rather than how many products you send. A record arriving with a full supplier description sits at the bottom of that range. A record with an item number, a price, and one photo sits at the top, because everything else has to be derived, checked, and placed in your taxonomy.
A multichannel retailer moved catalog changes out of the release cycle: one rule now fills a specification across forty products. See the numbers behind the change.
An electronics retailer reduced complex product card preparation time from 25 to 9 minutes with an AI product data enrichment service. See the numbers and how the workflow changed.
A merchandiser checks how the catalog performs inside ChatGPT and finds a gap that shows up in no analytics report. The product is in stock, the price sits below two competitors who do appear, and the product page converts perfectly well when a human lands on it. The assistant still builds its shortlist from three other retailers. Nothing broke, no ranking dropped, and no error surfaced anywhere in the stack.
PIM licence pricing in 2026 runs from free capped plans to more than $300,000 per year. Published entry tiers start at $0, with small-catalog plans around $499 per month. Mid-market licences are commonly quoted between $25,000 and $60,000 per year, and enterprise platforms above $75,000. Implementation is billed separately and typically adds 50% to 200% of the first-year licence.
Your product page loads fine, the description reads well, and the price is right. However, ChatGPT still recommends your competitor's version of the same item because their feed lists the material, the dimensions, and three compatible accessories, and yours lists none of it.
Your supplier sends a spreadsheet with their own column headers; another sends a PDF catalog; a third emails product photos separately from the data sheet; and someone on your team spends the next two days matching all three to a single SKU before it can go live.
Your webstore runs on Magento, marketplace orders land in Amazon Seller Central, stock sits in your ERP, and somewhere in the middle, someone is manually checking which number is real before confirming the order.
Product data enrichment for SKUs with no supplier information relies on image recognition, not text search. See how the process works.
A product information management workflow cuts product publishing time in half by replacing manual data entry, scattered approvals, and channel-by-channel updates with one centralized system. Product data is entered once, enriched, automatically approved, and published to every channel with a single action.
Comparing Salsify vs Pimcore is where most product teams get stuck. Both platforms manage product data, but neither was designed for the same type of business.
Catalog management solutions solve a problem every growing retailer eventually runs into: too many products, too many channels, and no single place where the real numbers live. If two people on your team could give you two different answers about current stock or price right now, you've already found the gap these tools exist to close.
Product data management software encompasses two distinct tools: PDM (Product Data Management) and PIM (Product Information Management).
Your products are live. Your catalog is online. But shoppers still can't find what they're looking for, and your conversion rate shows it. The problem is rarely the product. It's the data behind it.
In companies that run ERP systems, these systems gradually become the de facto repository for product data. At the start, this looks logical: all product information already lives in one system, and no additional infrastructure seems necessary.
So, you have an e-commerce business—and it’s booming. Your appetite for scaling grows alongside the climbing number of purchases made through your website. But are your processes fit for scaling to match?
Managing SEO for a catalog with 100,000+ SKUs feels impossible — and for most teams using traditional approaches, it actually is.
Competition among retailers is gaining momentum in 2025. Driven by new technologies and often unpredictable changes in customer behavior, challenges are only expected to become more complex as the e-commerce market expands.
In the trillion-dollar e-commerce industry, where online sales are projected to reach $1.72 trillion by 2027, enterprise retailers face an invisible enemy that's quietly reducing profits: product data chaos
Global maturity or technological agility? In this detailed comparison of HootCore PIM and Akeneo PIM, we analyze ecosystem size, implementation complexity, scalability, and long-term business impact.
Learn how Product Information Management (PIM) helps marketplaces manage vendors, standardize product data, and scale multivendor catalogs without chaos or manual effort.
Talk to our team and see how HootCore fits into your existing stack, from product data management to order fulfillment.