{"id":28153,"date":"2026-03-29T20:19:42","date_gmt":"2026-03-30T02:19:42","guid":{"rendered":"https:\/\/catsy.com\/blog\/?p=28153"},"modified":"2026-06-11T10:32:54","modified_gmt":"2026-06-11T16:32:54","slug":"product-information-management-pim-the-complete-guide","status":"publish","type":"post","link":"https:\/\/catsy.com\/blog\/product-information-management-pim-the-complete-guide\/","title":{"rendered":"Product Information Management (PIM): The Complete Guide"},"content":{"rendered":"\t\t
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PIM Complete Guide<\/div>\r\n

Product Information Management (PIM): The Complete Guide<\/h1>\r\n

Everything you need to know about centralizing, enriching, and distributing product data across every channel where customers buy.<\/p>\r\n

By Ceejay S Teku  \u00b7  March 29, 2026<\/div>\r\n \"PIM\r\n <\/div>\r\n <\/div>\r\n<\/div>\r\n<\/div><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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What You'll Learn<\/div>\r\n
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\u2713<\/span>What product information management is \u2014 as both a business discipline and a software category<\/div>\r\n
\u2713<\/span>The seven types of product data a PIM system manages and why each matters<\/div>\r\n
\u2713<\/span>How PIM works in practice: the four-stage workflow from ingestion to distribution<\/div>\r\n
\u2713<\/span>Measurable benefits, including faster time to market, lower return rates, and reduced data errors<\/div>\r\n
\u2713<\/span>A readiness checklist to determine if your organization needs PIM software<\/div>\r\n
\u2713<\/span>How to evaluate, select, and implement the right PIM solution for your business<\/div>\r\n <\/div>\r\n <\/div>\r\n

Product details live in several spreadsheets. Images and PDFs are scattered across shared drives, Dropbox, and desktops. Your Shopify listings could say one thing, while the Amazon catalog says another, and the print catalog is a little different. A lot of companies we help have problems along these lines that product information management solutions<\/strong> are built to solve.<\/p>\r\n

Product information management (PIM)<\/strong> is the process of centralizing, completing, enriching, and distributing product data across the organization and every channel where customers buy. PIM software creates a single source of truth for product content \u2014 replacing scattered spreadsheets and siloed systems with automated workflows that keep every listing accurate, complete, and consistent.<\/p>\r\n

This guide is the definitive resource on product information management \u2014 what it is, how it works, who needs it, and how to evaluate and implement it. We\u2019ve structured this as a practical reference you can bookmark and return to. Each section answers a specific question.<\/p>\r\n

What Is Product Information Management?<\/h2>\r\n

Product information management is two things at once. It\u2019s a data discipline<\/em> \u2014 the practice of governing product data across teams, systems, and sales channels. And it\u2019s a technology category<\/em> \u2014 the PIM software that makes that discipline possible at scale.<\/p>\r\n

The core concept is simple: a centralized repository where all your product data lives, gets completed, enriched, and then distributed to every channel that needs it. One source of truth. No more conflicting specs. No more asking \"which version is the right one?\"<\/p>\r\n

The need for dedicated PIM systems grew out of a very specific moment in commerce. For decades, product data lived inside ERP item masters \u2014 basic SKU records, cost fields, and inventory counts. That worked fine when brands sold through one or two channels. Then ecommerce exploded. Suddenly, brands needed rich product content for Shopify, Amazon, Wayfair, Walmart Marketplace, their own DTC site, print catalogs, and dealer portals. ERPs weren\u2019t built for that. Spreadsheets couldn\u2019t keep up. Product information management systems filled the gap.<\/p>\r\n

\r\n \"PIM\r\n <\/div>\r\n

What Data Does a PIM System Manage?<\/h2>\r\n

When people hear \u201cproduct data,\u201d they usually think SKU numbers and prices. In reality, a PIM system manages seven distinct categories of product information \u2014 and each one plays a critical role in how customers discover, evaluate, and buy your products.<\/p>\r\n

Technical Data<\/h3>\r\n

Specs, SKUs, variant attributes, and compliance certifications. This is the factual backbone of every product record. Technical data is the foundation that every other data type builds on.<\/p>\r\n

Marketing and Emotional Data<\/h3>\r\n

Product descriptions, brand storytelling, feature highlights, SEO-optimized content, and benefit-driven copy. A product\u2019s technical specs tell the buyer what<\/em> it is. Marketing data tells them why they need it<\/em>.<\/p>\r\n

Product Usage Data<\/h3>\r\n

How-to instructions, installation guides, care and maintenance information, application notes, and compatibility details. For products where the post-purchase experience matters, usage data directly impacts return rates and customer satisfaction.<\/p>\r\n

Logistics Data<\/h3>\r\n

Dimensions, materials, weights, units of measure, MAP (minimum advertised price) rules, availability status, and lead times. When you sell through multiple channels with different pricing structures, managing this data in spreadsheets creates inevitable conflicts.<\/p>\r\n

Categorization and Taxonomy<\/h3>\r\n

Product families, categories, tags, variant relationships, cross-sell and upsell associations, and collection groupings. Taxonomy is the skeleton of your product catalog \u2014 it determines how products relate to each other and how customers navigate your catalog.<\/p>\r\n

Localization Data<\/h3>\r\n

Translated product descriptions, regional compliance attributes, currency conversions, units of measure, and market-specific content. Brands expanding internationally need localization data that goes beyond simple translation.<\/p>\r\n

\r\n \"PIM\r\n <\/div>\r\n

Digital Assets<\/h3>\r\n

Product images, lifestyle photography, videos, 3D renders, PDFs, spec sheets, and safety documentation. Digital assets are often the most operationally expensive product data to manage because they\u2019re large, version-sensitive, and frequently updated. Many organizations manage product images and videos in entirely separate systems from their product data \u2014 which creates constant friction when assembling complete product listings.<\/p>\r\n

How Product Information Management Works<\/h2>\r\n

A PIM system works in four stages: collect and centralize, organize and govern, enrich and localize, then distribute and syndicate.<\/p>\r\n

1. Collect and Centralize<\/h3>\r\n

Data flows into the PIM from multiple sources \u2014 your ERP system, supplier spreadsheets, agency content, and manual entry. The PIM becomes the single repository where all your product data lives. Without this step, you\u2019re working from five different \u201cmaster\u201d spreadsheets and hoping they agree with each other.<\/p>\r\n

2. Organize and Govern<\/h3>\r\n

Once data is centralized, the PIM applies your data model \u2014 validation rules, taxonomy structures, required attributes, role-based access, and approval workflows. This is where data governance happens. It\u2019s the difference between a product record that\u2019s \u201cmostly filled out\u201d and one that meets every channel\u2019s requirements before it ever gets published.<\/p>\r\n

3. Enrich and Localize<\/h3>\r\n

Teams add marketing descriptions, SEO content, translations, and associate digital assets with product records. Enrichment transforms raw product data into compelling product content that\u2019s ready for commerce.<\/p>\r\n

4. Distribute and Syndicate<\/h3>\r\n

The enriched, validated product data pushes out to every sales channel \u2014 ecommerce platforms, marketplaces like Amazon and Wayfair, print catalogs, dealer portals, and mobile apps. Each channel gets the data in the format it requires, automatically.<\/p>\r\n \r\n \"Book<\/a>\r\n\r\n<\/div>\r\n<\/div><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Key Takeaways<\/h2>\r\n
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\u2713<\/span>PIM is both a data discipline and a software category \u2014 the practice of governing product data at scale, and the system that makes it operationally feasible.<\/div>\r\n
\u2713<\/span>A PIM system manages seven data types: technical, marketing, usage, logistics, categorization, localization, and digital assets. Each drives a different part of how customers discover and buy.<\/div>\r\n
\u2713<\/span>The four-stage PIM workflow \u2014 collect, govern, enrich, distribute \u2014 replaces manual data assembly across channels with automated, consistent publishing from a single source of truth.<\/div>\r\n
\u2713<\/span>If three or more readiness signals apply (500+ SKUs, 3+ channels, returns from bad data, teams updating separate systems), you\u2019re ready for PIM.<\/div>\r\n
\u2713<\/span>PIM complements ERP, DAM, CMS, MDM, and PLM \u2014 it doesn\u2019t replace any of them. Each system handles a different domain. PIM owns the product content layer.<\/div>\r\n
\u2713<\/span>Implementation timelines: 4\u20138 weeks for small catalogs, 10\u201316 weeks for mid-market, 4\u201312 months for enterprise. Data quality is the biggest variable \u2014 clean data migrates faster.<\/div>\r\n
\u2713<\/span>PIM is evolving toward PXM and AI-powered enrichment. Brands investing in PIM today are building the data foundation for every commerce channel coming in 2027 and beyond.<\/div>\r\n <\/div>\r\n <\/div>\r\n\r\n

Benefits of Product Information Management<\/h2>\r\n

Data Accuracy and Consistency<\/h3>\r\n

A single source of truth eliminates conflicting product information across sales channels. When your Shopify store, Amazon listings, and distributor portal all pull from the same PIM record, inconsistencies disappear. Gartner research estimates that poor data quality costs organizations an average of $12.9 million per year.<\/p>\r\n

Faster Time to Market<\/h3>\r\n

Automated workflows cut product launch timelines from weeks to days. Instead of manually assembling product listings for each channel, teams publish across all channels simultaneously from the PIM. The result is dramatic compression of launch timelines, especially for brands managing seasonal collections or frequent new product introductions.<\/p>\r\n

Reduced Returns and Customer Complaints<\/h3>\r\n

Accurate product data means customers get what they expect. When product descriptions, images, dimensions, and specifications are correct and consistent across every channel, the \u201cthis isn\u2019t what I ordered\u201d returns drop significantly.<\/p>\r\n

Operational Efficiency<\/h3>\r\n

Teams stop wasting time on manual data entry and spreadsheet wrangling. Research published in MIT Sloan Management Review puts the cost of bad data at 15% to 25% of revenue for most companies.<\/p>\r\n

Revenue Growth<\/h3>\r\n

Better product content drives higher conversion rates. Complete, accurate, and compelling product listings outperform thin listings on every ecommerce platform. Richer product content builds buyer confidence \u2014 fully fleshed-out listings with multiple images, complete specs, lifestyle context, and clear descriptions reduce the perceived risk of an online purchase.<\/p>\r\n

Scalability<\/h3>\r\n

Add channels, SKUs, and markets without proportional headcount increases. When you expand from 500 SKUs to 5,000, or add three new marketplace channels, a PIM system handles the complexity through automation rather than additional staff.<\/p>\r\n\r\n

\r\n \"Catsy\r\n <\/div>\r\n

Who Needs a PIM System?<\/h2>\r\n

PIM isn\u2019t for every business. A company selling 15 products through a single Shopify store probably doesn\u2019t need one. But once product data complexity crosses a certain threshold, PIM stops being optional.<\/p>\r\n

The Readiness Checklist: Signs You\u2019ve Outgrown Spreadsheets<\/h3>\r\n

If three or more of these apply to your organization, you\u2019re ready for PIM software:<\/p>\r\n

\r\n
\u00b7<\/span>You manage 500+ SKUs across 3+ sales channels<\/div>\r\n
\u00b7<\/span>Product launches take weeks of manual coordination<\/div>\r\n
\u00b7<\/span>Returns are increasing due to inaccurate product descriptions<\/div>\r\n
\u00b7<\/span>You\u2019re expanding to new marketplaces (Amazon, Wayfair, Walmart)<\/div>\r\n
\u00b7<\/span>Multiple teams update product data in different systems<\/div>\r\n
\u00b7<\/span>You\u2019re spending more time fixing data errors than creating content<\/div>\r\n
\u00b7<\/span>Your ERP handles product data, but it can\u2019t manage rich content or digital assets<\/div>\r\n
\u00b7<\/span>Compliance requirements are increasing (GDSN, retailer-specific standards)<\/div>\r\n <\/div>\r\n

By Industry<\/h3>\r\n
\r\n
\u00b7<\/span>Retail and ecommerce:<\/strong> Omnichannel consistency across DTC, marketplaces, and retail partners.<\/div>\r\n
\u00b7<\/span>Manufacturing and industrial:<\/strong> Complex technical specifications, certifications, compliance data, and distributor content requirements.<\/div>\r\n
\u00b7<\/span>Fashion and apparel:<\/strong> Seasonal collections, size\/color variant matrices, heavy lifestyle photography, and rapid product turnover.<\/div>\r\n
\u00b7<\/span>Home goods and furniture:<\/strong> Lifestyle photography requirements, retailer-specific content standards, and high return rates from inaccurate product details.<\/div>\r\n
\u00b7<\/span>Consumer electronics:<\/strong> Complex technical specifications, compatibility matrices, rapid product cycles, and frequent updates.<\/div>\r\n
\u00b7<\/span>Distributors:<\/strong> Multi-brand product catalogs and dealer portals.<\/div>\r\n <\/div>\r\n

PIM vs. Other Systems: Key Differences<\/h2>\r\n

One of the most common questions in PIM evaluation is \u201chow is this different from the systems we already have?\u201d Here\u2019s the short answer: PIM handles the product content<\/em> layer \u2014 the rich, customer-facing data that drives commerce. Other systems handle different domains entirely. They complement each other; they don\u2019t replace each other.<\/p>\r\n

\r\n \r\n \r\n \r\n \r\n
System<\/th>\r\n Primary Focus<\/th>\r\n Data Types<\/th>\r\n Works With PIM?<\/th>\r\n <\/tr>\r\n <\/thead>\r\n
PIM<\/td>Product content for commerce<\/td>Descriptions, specs, assets, pricing, taxonomy<\/td>\u2014<\/td><\/tr>\r\n
DAM<\/td>Digital asset storage & distribution<\/td>Images, videos, PDFs, design files<\/td>Yes \u2014 integrated or separate<\/td><\/tr>\r\n
ERP<\/td>Business operations<\/td>Inventory, orders, finance, cost data<\/td>Yes \u2014 feeds base product records to PIM<\/td><\/tr>\r\n
CMS<\/td>Website content<\/td>Pages, blog posts, navigation<\/td>Yes \u2014 PIM feeds product data to CMS<\/td><\/tr>\r\n
MDM<\/td>Enterprise-wide data governance<\/td>All data domains (customer, product, supplier)<\/td>Yes \u2014 PIM is product-specific MDM<\/td><\/tr>\r\n
PLM<\/td>Product development lifecycle<\/td>Engineering specs, prototypes, BOM<\/td>Yes \u2014 PLM hands off to PIM post-launch<\/td><\/tr>\r\n <\/tbody>\r\n <\/table>\r\n <\/div>\r\n

How to Choose the Right PIM Solution<\/h2>\r\n

Core Capabilities to Evaluate<\/h3>\r\n
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\u00b7<\/span>Data modeling flexibility<\/strong> \u2014 can the PIM handle your specific product data structure, including complex variant relationships and custom attribute types?<\/div>\r\n
\u00b7<\/span>Workflow automation<\/strong> \u2014 does it support approval chains, enrichment rules, and publishing triggers?<\/div>\r\n
\u00b7<\/span>Channel connectors<\/strong> \u2014 which ecommerce platforms and marketplaces are natively supported?<\/div>\r\n
\u00b7<\/span>Data quality tools<\/strong> \u2014 validation rules, completeness scoring, and error detection.<\/div>\r\n
\u00b7<\/span>Collaboration features<\/strong> \u2014 role-based access, commenting, and version history.<\/div>\r\n <\/div>\r\n

Questions to Ask During a Demo<\/h3>\r\n
\r\n
\u00b7<\/span>How does your platform handle our specific product data structure?<\/div>\r\n
\u00b7<\/span>What\u2019s the typical implementation timeline for our catalog size?<\/div>\r\n
\u00b7<\/span>Is DAM included or a separate purchase?<\/strong><\/div>\r\n
\u00b7<\/span>How do you handle multi-channel syndication?<\/div>\r\n
\u00b7<\/span>What does your data migration process look like?<\/div>\r\n
\u00b7<\/span>What workflow automation is available out of the box?<\/div>\r\n
\u00b7<\/span>What\u2019s the pricing model, and how does it scale?<\/div>\r\n <\/div>\r\n
The sleeper question:<\/strong> Most enterprise PIM vendors require separate DAM purchases. This single decision can swing your total cost of ownership by 30\u201350%. Platforms like Catsy include DAM natively \u2014 eliminating dual-vendor overhead entirely.<\/div>\r\n

PIM Implementation: What to Expect<\/h2>\r\n

Phase 1 \u2014 Planning and Data Audit<\/h3>\r\n

Audit your existing product data: where does it live, what\u2019s the quality, what are the gaps? Define your data model and taxonomy structure. Identify integration requirements and set success metrics. Your data is messier than you think. Accept that upfront and the rest goes smoother.<\/p>\r\n

Phase 2 \u2014 Data Migration and Modeling<\/h3>\r\n

Clean and standardize your existing data. Map data fields from old systems to the new PIM structure. Migrate product data and digital assets. Validate data integrity after migration. Expect data migration to be the longest phase.<\/p>\r\n

Phase 3 \u2014 Integration and Configuration<\/h3>\r\n

Connect to your ERP, ecommerce platforms, and marketplaces. Configure workflows, approval chains, and publishing rules. Set up user roles and permissions. Build channel-specific output templates.<\/p>\r\n

Phase 4 \u2014 Training, Testing, and Launch<\/h3>\r\n

Train users by role (admin, contributor, reviewer). Run parallel testing with existing systems. Plan a phased rollout \u2014 start with one channel, prove the workflow, then expand. Post-launch optimization is ongoing, not a one-time event.<\/p>\r\n

Timeline expectations:<\/strong> Small catalog (under 1,000 SKUs): 4\u20138 weeks  \u00b7  Mid-market (1,000\u20135,000 SKUs): 10\u201316 weeks  \u00b7  Enterprise (5,000+ SKUs): 4\u201312 months<\/div>\r\n
\r\n \"PIM\r\n <\/div>\r\n\r\n

The Future of Product Information Management<\/h2>\r\n

AI-Powered Product Content<\/h3>\r\n

AI is entering PIM in practical, high-impact ways: automated image tagging and classification, AI-generated first-draft product descriptions, content gap analysis that identifies missing data before it reaches customers, and automated data quality scoring. These aren\u2019t speculative capabilities \u2014 they\u2019re shipping in production PIM software today.<\/p>\r\n

Product Experience Management (PXM)<\/h3>\r\n

PIM is evolving from managing product data to orchestrating product experiences. PXM means delivering contextual product content \u2014 different descriptions, images, and attributes for different digital channels, audiences, and devices. The shift from PIM to PXM reflects changing customer expectations: buyers don\u2019t just want accurate product data anymore \u2014 they want product content tailored to their context, channel, and stage in the buying journey.<\/p>\r\n

Expanded Data Syndication<\/h3>\r\n

The next wave of distribution channels is already here: TikTok Shop, Instagram Shopping, Pinterest product pins, AI shopping assistants, and LLM-powered product discovery. Brands that treat their PIM as the foundation for digital commerce \u2014 not just traditional ecommerce \u2014 will be positioned to reach customers through channels that didn\u2019t exist two years ago.<\/p>\r\n \r\n

Frequently Asked Questions<\/h2>\r\n
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\r\n ▶<\/span>\r\n What is product information management (PIM)?<\/span>\r\n <\/div>\r\n

Product information management is the process of centralizing, enriching, and distributing product data across all the channels where you sell. It\u2019s both a business discipline and a software category \u2014 the practice of managing product data at scale, and the PIM system that makes it operationally feasible.<\/p>\r\n<\/div>\r\n

\r\n
\r\n ▶<\/span>\r\n What does a PIM system do?<\/span>\r\n <\/div>\r\n

A PIM system collects product data from multiple sources (ERPs, suppliers, spreadsheets), organizes it with validation rules and taxonomy, enriches it with marketing content and digital assets, then distributes it to every sales channel in the format each requires.<\/p>\r\n<\/div>\r\n

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\r\n ▶<\/span>\r\n What\u2019s the difference between PIM and DAM?<\/span>\r\n <\/div>\r\n

PIM manages structured product data (specs, descriptions, pricing). DAM manages unstructured digital assets (images, videos, PDFs). Most ecommerce businesses need both. The key decision is whether to buy them separately or choose an integrated platform.<\/p>\r\n<\/div>\r\n

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\r\n ▶<\/span>\r\n What\u2019s the difference between PIM and ERP?<\/span>\r\n <\/div>\r\n

ERP handles operational data \u2014 inventory, orders, finance. PIM handles product content \u2014 descriptions, images, marketing attributes. They work together: ERP feeds base product records to PIM, and PIM enriches them for commerce.<\/p>\r\n<\/div>\r\n

\r\n
\r\n ▶<\/span>\r\n What\u2019s the difference between PIM and CMS?<\/span>\r\n <\/div>\r\n

A CMS manages website content. A PIM manages product data for every channel \u2014 not just your website, but marketplaces, print catalogs, dealer portals, and mobile apps.<\/p>\r\n<\/div>\r\n

\r\n
\r\n ▶<\/span>\r\n What\u2019s the difference between PIM and PLM?<\/span>\r\n <\/div>\r\n

PLM manages product development (R&D, engineering, prototyping). PIM manages product data after launch for marketing and sales. PLM answers \"how do we build it?\" PIM answers \"how do we sell it across every channel?\"<\/p>\r\n<\/div>\r\n

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\r\n ▶<\/span>\r\n Can PIM replace ERP?<\/span>\r\n <\/div>\r\n

No. PIM and ERP serve entirely different functions. ERP manages transactions, inventory, and finance. PIM manages product content for commerce. Attempting to use one as a substitute for the other will create gaps in both operational and customer-facing data.<\/p>\r\n<\/div>\r\n

\r\n
\r\n ▶<\/span>\r\n How much does a PIM system cost?<\/span>\r\n <\/div>\r\n

PIM pricing varies significantly by vendor, catalog size, and deployment model. Mid-market platforms like Catsy start at $599\/month for the Essentials tier, while enterprise platforms range from $45,000\u2013$60,000+\/year. Key cost variables include SKU count, user count, channel complexity, and whether DAM is included or licensed separately.<\/p>\r\n<\/div>\r\n

\r\n
\r\n ▶<\/span>\r\n How long does PIM implementation take?<\/span>\r\n <\/div>\r\n

Small catalogs (under 1,000 SKUs): 4\u20138 weeks. Mid-market (1,000\u20135,000 SKUs): 10\u201316 weeks. Enterprise (5,000+ SKUs with complex integrations): 4\u201312 months. The biggest variable is the quality of your existing data \u2014 clean data migrates faster.<\/p>\r\n<\/div>\r\n

\r\n
\r\n ▶<\/span>\r\n Is PIM worth it for small businesses?<\/span>\r\n <\/div>\r\n

It depends on complexity, not company size. A small ecommerce business with 200 SKUs selling through one channel probably doesn\u2019t need PIM. A small business with 800 SKUs across Shopify, Amazon, and Wayfair absolutely might. Catalog complexity and channel count matter more than revenue.<\/p>\r\n<\/div>\r\n

\r\n
\r\n ▶<\/span>\r\n When should a company implement PIM?<\/span>\r\n <\/div>\r\n

When managing product data manually starts slowing down product launches, causing data errors across channels, or consuming more of your team\u2019s time than creating content. Most companies cross this threshold around 500+ SKUs and 3+ channels.<\/p>\r\n<\/div>\r\n

\r\n
\r\n ▶<\/span>\r\n How does PIM improve SEO?<\/span>\r\n <\/div>\r\n

PIM improves SEO by ensuring every product listing has complete, unique, and keyword-optimized descriptions across all digital channels. Thin or duplicate product content hurts search rankings. PIM gives teams the tools to systematically enrich product content that search engines reward.<\/p>\r\n<\/div>\r\n <\/div>\r\n

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Where to Next?<\/h3>\r\n

AI is no longer a future consideration for product information management. It is already reshaping how manufacturers and distributors enrich content, govern data quality, and scale across channels without adding headcount. Catsy\u2019s connected PIM and DAM platform handles the complexity of large, multi-channel catalogs. When you are ready to go deeper, our guides below walk through the decisions that matter most before you commit to a platform.<\/p>\r\n

Related:<\/strong> What is PIM?<\/a>  |  PIM vs DAM<\/a>  |  PIM vs ERP<\/a>  |  Best PIM Software<\/a><\/div>\r\n <\/div>\r\n
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Ready to Put PIM Into Practice?<\/h2>\r\n

Catsy\u2019s PIM + DAM platform is built for manufacturers, distributors, and multi-channel brands \u2014 with everything you need to centralize, enrich, and syndicate product data across every channel your buyers use.<\/p>\r\n Book a Demo<\/a>\r\n <\/div>\r\n\r\n<\/div>\r\n<\/div><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Discover how effective Product Information Management can streamline your business operations, enhance customer experience, and boost sales. Read more!<\/p>\n","protected":false},"author":1,"featured_media":28185,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":"","footnotes":""},"categories":[16,9,128],"tags":[1372,19,1373,3,1231,1369,1137,1330,4,1371,1237,1370],"_links":{"self":[{"href":"https:\/\/catsy.com\/blog\/wp-json\/wp\/v2\/posts\/28153"}],"collection":[{"href":"https:\/\/catsy.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/catsy.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/catsy.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/catsy.com\/blog\/wp-json\/wp\/v2\/comments?post=28153"}],"version-history":[{"count":40,"href":"https:\/\/catsy.com\/blog\/wp-json\/wp\/v2\/posts\/28153\/revisions"}],"predecessor-version":[{"id":29288,"href":"https:\/\/catsy.com\/blog\/wp-json\/wp\/v2\/posts\/28153\/revisions\/29288"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/catsy.com\/blog\/wp-json\/wp\/v2\/media\/28185"}],"wp:attachment":[{"href":"https:\/\/catsy.com\/blog\/wp-json\/wp\/v2\/media?parent=28153"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/catsy.com\/blog\/wp-json\/wp\/v2\/categories?post=28153"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/catsy.com\/blog\/wp-json\/wp\/v2\/tags?post=28153"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}