End customer self-service has grown dramatically during the last decades due to the increasing adoption of ecommerce. When customers shop online they need a lot of information about the product they intent to buy. One of the pieces of information they need is an image of the product. The image helps customers to understand if it is the intended product they are going to buy and helps with quickly differentiating among a range of products.
Unfortunately the most common image around on web shops is the “image coming soon”.
Completeness is a huge problem in Product Information Management (PIM) as examined in my previous post called Multi-Domain MDM and Data Quality Dimensions. A missing product image is a classic completeness issue for product master data.
As a web shop you can collect a product image in several ways, namely:
- Take the image yourself
- Get it from the manufacturer
The former approach is cumbersome and usually only used for selected products for a special purpose of use. The latter one is far the most common. When you deal with many products and constant new on-boarding of products, you want to have a uniform and automated approach to collect images along with all the other product information needed for the specific product category.
A clumsy variant of the latter is scraping it from your manufacturer’s website or even your competitor’s website. Or having someone far away doing that for you.
The better way is to start sharing product data and digital assets, including product images, within the ecosystems of manufacturers, distributors, retailers and end users. Stay tuned. A service for that is coming soon 🙂