Industry standards can stabilise product data and speed onboarding. Used wrongly, they bloat schemas, damage findability, and slow commercial change. Learn where standards belong, where they don’t, and how to map and enforce them without harming buyers
Enrichment feels productive, but without taxonomy, schema, and variant rules it becomes debt. Structure defines required attributes, valid values, and governance so enrichment can scale across suppliers and channels—especially with AI. Build the skeleton first, then enrich once with confidence
Inconsistent supplier and internal feeds aren’t just “bad data”. Usually the structure is unclear or unusable. This article explains the patterns—non-conforming fields, missing attributes, unstable hierarchies—and how a structure audit gives you a model that data can actually land in.
Bad product data structure doesn’t fail loudly. It quietly breaks PIM, automation, and marketplace performance. This article explains how weak taxonomy, attributes, and variant models create manual work, delistings, and lost revenue—and what coherent structure looks like instead
In PPE, inaccurate product data is more than a nuisance — it’s a safety and liability risk. A PIM system centralises standards, certifications, sizing and documentation, supports traceability for high-risk categories, and delivers consistent information across portals, tenders, and e-commerce. Here’s how it keeps your catalogue compliant and sellable
A PIM implementation is not a switch you flip. Discover typical timelines, the phases you will go through, and the factors that speed things up – or slow them down – so you can set realistic expectations and still get to value quickly.
AI shopping tools don’t “browse” your site, they dissect it. Learn how AI actually reads your product pages, which signals it trusts, and how product information management (PIM) and high-quality product data help your catalogue stay visible in an AI-first search world
Are your category filters returning “0 results” and confusing shoppers? The problem isn’t your front-end; it’s your product data, taxonomy and PIM. Learn why filters fail, how poor attributes kill search and discovery, and what a modern PIM and better data governance can do to turn it around.
AI is only as good as the product data behind it. This guide explains how to prepare product data for AI by cleaning, structuring, enriching and governing it before it reaches your PIM or eCommerce platform.
Distributors struggle with supplier data in PDFs, spreadsheets and portals. Learn how SKULaunch and PIM centralise, enrich and validate product information. Cut onboarding time, reduce errors and publish consistent product data across every channel. Faster, cleaner and scalable — transform chaos into competitive advantage.
AI models rely on enriched attributes. Without clean, complete product data, outputs are inaccurate and misleading. Learn how input quality impacts AI-driven product content for B2B.
Struggling with BMF product data? SKULaunch transforms messy spreadsheets and PDFs into clean, merchant-ready files. Faster onboarding, cleaner data, and Industry Data Pool readiness – without the admin burden.
For many manufacturers and distributors, product data is both a lifeline and a constant frustration. It underpins everything from sales to compliance, yet too often it is trapped in outdated systems, scattered spreadsheets, and manual processes that slow teams down. One of the clearest examples of this problem is the humble product data sheet. On… Read More »Why Product Data Sheets Are Costing Manufacturers More Than They Think
Choosing the right Product Information Management (PIM) software is crucial for businesses aiming to streamline product data management, enhance customer experience, and achieve efficient multichannel expansion. Our comprehensive guide provides an in-depth analysis of the key considerations and best practices for selecting the most suitable PIM software for your business needs. Understanding the importance of… Read More »How to Choose the Right PIM Software for Your Business
The Rise of cross-border eCommerce Cross-border eCommerce, the practice of selling products to consumers overseas through online platforms, has been growing exponentially in recent years. Before long, it is highly likely to account for a large percentage of global tangible product shipments. Major players like Amazon, Alibaba, and eBay are driving this growth. The appeal… Read More »What is Cross-Border eCommerce and what is PIM’s Role in It?
Like other business activities, the enterprise management landscape is changing rapidly. That’s why it’s crucially important to understand the synergy between Product Information Management (PIM) and Enterprise Resource Planning (ERP) systems. They serve different purposes, but PIM and ERP working together are essential for enhancing overall data quality, improving operational efficiency, and boosting sales. Distinct… Read More »What is the Connection Between PIM and ERP Systems?
Personalisation is emerging as a pivotal element in defining the customer experience and generating enduring brand loyalty in eCommerce . The surge in digital shopping has emphasised the need for eCommerce platforms to deliver more than just products; they need to be adding value by offering personalised experiences which resonate with individual consumer preferences. A… Read More »What is the role of PIM in eCommerce personalisation?
Introduction to PIM and sustainability Sustainability in eCommerce is becoming a determining factor for consumer loyalty and brand distinction. Central to this shift is the role of Product Information Management (PIM), which serves as the essential platform to manage and distribute product information on sustainability credentials. The impact of PIM on consumer transparency PIM tools… Read More »What is the Role of PIM in Sustainable eCommerce?
In the evolving landscape of eCommerce, understanding the role of Product Information Management (PIM) in B2B (Business-to-Business) and B2C (Business-to-Consumer) contexts is crucial. While the fundamental differences between B2B and B2C commerce remain, the lines are increasingly blurred, demanding a nuanced approach to product information management. Key Differences in PIM Needs B2B and B2C models… Read More »What is PIM’s Role in B2B vs. B2C Contexts?
In the realm of Product Information Management (PIM), data quality (DQ) is of fundamental importance, as it ultimately determines the efficacy of data-driven decision-making and the standard of the digital customer experience provided. Data quality in PIM measures how well a dataset serves user needs, especially in relation to its accuracy, completeness, consistency, validity, uniqueness,… Read More »What is Data Quality in PIM and Why Does It Matter?