Product data is the DNA of eCommerce—every spec, image, and price point that shapes a product’s digital identity. But managing it well? That’s the real challenge. Learn how centralising product data improves searchability, customer experience, and sales while reducing errors that cost you conversions and brand trust.
By enabling faster time-to-market, improving data quality, and supporting personalised marketing, PIM systems play a critical role in boosting eCommerce sales. Whether B2B, B2C, or D2C, companies leveraging PIM can deliver consistent customer experiences, increase satisfaction, and drive substantial sales growth in an increasingly complex digital landscape.
Explore the transformative journey from Excel to Akeneo PIM in our comprehensive guide. Learn how Akeneo’s advanced features streamline product data management, enhance digital asset management, and drive eCommerce success.
We investigate how to integrate a PIM solution with legacy ERP systems, and why it’s a far smarter option than throwing out your legacy ERP because it can’t cope.
This article answers the most pressing questions about how Akeneo and its PIM solution support the drive for excellence in customer experience, business efficiency and revenue growth. It outlines Akeneo’s credentials as a robust platform which equips you not only for competing effectively, but also scaling your operations as you grow into new markets.
Cloud-based Product Information Management (PIM) systems are becoming the norm as powerful tools for businesses to centralise and streamline product information management. They are hosted off-site by third-party providers and offer a single source of truth for product data, accessible from anywhere at any time with a secure internet connection.
Product Information Management (PIM) is a pivotal tool for marketing and sales. PIM systems provide an all-encompassing way of managing product data as well as driving demand, and streamlining online sales processes. Below are the multifaceted impact of PIM on online sales and marketing strategies.
As the scope and reach of digital commerce expands, the volume and complexity of product data is increasing, and Product Information Management (PIM) stands as a crucial component for businesses aiming to thrive in the e-commerce landscape. As data is rapidly growing, with IDC’s report predicting a leap to 175 Zettabytes by 2025, the importance of data quality in PIM is evident. It isn’t just about improving product data, but about ensuring that every piece of product information is accurate, consistent, complete, and timely.
The digital commerce ecosystem is constantly evolving, and the mushrooming influence of Artificial Intelligence (AI) and Machine Learning (ML) hasn’t ignored Product Information Management (PIM). In fact, it’s reshaping how businesses manage, organise, and use product data. AI is not only enhancing operational efficiency but also redefining the nature of competitive dynamics in the market.