Nowadays, the omnichannel customer journey needs to allow your customers to research and shop across a wide range of platforms, online, in-store, or, in the case of B2B, from a data pool like Icecat. With a PIM, it’s in your hands to make sure they experience a smooth, problem-free, and fruitful interaction with your brand.
If you want your product offer displayed on the big marketplaces with lots of reach, you needd to ensure it is compliant with the requirements of those marketplaces.
Your digital shelf represents your brand’s face to the world. Read our article on the five important areas you need to pay close attention to when establishing your digital shelf strategy.
When you syndicate your product information to your sales channels, you want it to be tailored and adapted to the precise attributes of each channel. A PIM solution helps you to do this.
An excellent product experience will engage customers to the extent that they will be heavily influenced in their purchasing journey. At the heart of PXM is high-quality product information. We look at the relationship between PIM and the product experience, and how the former can enhance the latter.
Who do you need on your PIM project team? Who are the stakeholders and users involved. Getting the right people together is crucial to the success of your PIM implementation. We look at the key figures who need to be there from the start.
A PIM implementation is a major investment in digitising your product-centred business. You probably have a lot of questions you want to ask. In this article, we select 5 of the most commonly posed questions to help you decide to move ahead with your PIM project.
Getting your product data from suppliers, data pools and other external partners can be a time-consuming task. In our recent webinar we talk to a PIM partner to find out just how an PIM solution can make onboarding processes agile, consistent and easy to perform.
MDM projects can be highly successful, but they are fraught with perils if the right planning is absent. We look at the six most common pitfalls and how to avoid them.
Before cleansing your data at source, it’s crucial to have some rigorous rules in place. That isn’t the work of one person, rather that of a team. Key stakeholders need to be involved in deciding the protocols and thresholds behind effective data-cleansing.