eCommerce
What Is Product Experience Management (PXM)? The 2026 Guide
Product Experience Management (PXM) is the operating model that ties PIM, DAM, channel integration and digital shelf analytics into one consistent product experience. Learn why classic PIM is no longer enough in 2026 and how you can get started with PXM.
DAM
DAM System: What Is Digital Asset Management and Why Do You Need It?
A DAM system centrally manages, organizes, and distributes all digital media in your company. Learn when DAM pays off, how it differs from PIM, and which vendors matter in 2026.
PIM
What Is a PIM System? The Complete Guide 2026
A PIM system centrally manages, enriches, and distributes all product-related data across every output channel. This guide covers what PIM does, who needs it, and how to choose the right system.
PIM
Digital Product Passport (DPP): Everything Companies Need to Know in 2026
The Digital Product Passport (DPP) becomes mandatory for many industries from 2027. Learn what companies need to know and how a PIM system helps with implementation.
eCommerce
PIM
Optimising the customer journey in e-commerce: How companies can avoid revenue losses
How can businesses prevent revenue loss in e-commerce? This article explains how optimizing the customer journey helps reduce friction, build trust, and avoid cart abandonment – from product discovery and checkout to the post-purchase experience. With practical recommendations and clear optimization strategies, it highlights why customer journey improvement is an ongoing process and a key driver of long-term growth.
eCommerce
PIM
Product experience as part of brand strategy – why brands become tangible in products
Data quality is key to successful omnichannel strategies. But manual checks are time-consuming and prone to errors. We explain how companies use automatic validation rules, scripts and AI checks to ensure that their product data remains complete, consistent and error-free – and why PIM systems are indispensable for this.
eCommerce
PIM
Predictive analytics: How data enables better purchasing decisions
Data quality is key to successful omnichannel strategies. But manual checks are time-consuming and prone to errors. We explain how companies use automatic validation rules, scripts and AI checks to ensure that their product data remains complete, consistent and error-free – and why PIM systems are indispensable for this.
eCommerce
PIM
Smart Search in E-Commerce: Why Your Product Search Will Fail Without Good Data
Data quality is key to successful omnichannel strategies. But manual checks are time-consuming and prone to errors. We explain how companies use automatic validation rules, scripts and AI checks to ensure that their product data remains complete, consistent and error-free – and why PIM systems are indispensable for this.
eCommerce
PIM
How digital product processes make medical technology more efficient – with OMN from apollon
Data quality is key to successful omnichannel strategies. But manual checks are time-consuming and prone to errors. We explain how companies use automatic validation rules, scripts and AI checks to ensure that their product data remains complete, consistent and error-free – and why PIM systems are indispensable for this.
eCommerce
PIM
How to choose the best PIM solution – and why OMN from apollon is the right choice
Data quality is key to successful omnichannel strategies. But manual checks are time-consuming and prone to errors. We explain how companies use automatic validation rules, scripts and AI checks to ensure that their product data remains complete, consistent and error-free – and why PIM systems are indispensable for this.
eCommerce
KI
ChatGPT Product Search: Opportunities for Retailers with PXM & E-Commerce
Data quality is key to successful omnichannel strategies. But manual checks are time-consuming and prone to errors. We explain how companies use automatic validation rules, scripts and AI checks to ensure that their product data remains complete, consistent and error-free – and why PIM systems are indispensable for this.
PIM
PIM validation: Automatic plausibility checks for clean data
Data quality is key to successful omnichannel strategies. But manual checks are time-consuming and prone to errors. We explain how companies use automatic validation rules, scripts and AI checks to ensure that their product data remains complete, consistent and error-free – and why PIM systems are indispensable for this.