Okkular details why 'Product DNA' is critical for eCommerce retailers.
Product data can be simply defined as the attributes and characteristics of the product placed on your eCommerce websites.
In the case of apparel, it could be the length of the dress, the colour, its length, neckline etc.
Merely listing the product on the website does not guarantee conversions; in fact, it’s a sure-fire way to ensure that shoppers won’t find what they are looking for on your website.
You need to think about the information that your shoppers need to convert to a customer, and hopefully a regular one at that.
Think of product data like a hygienic factor for your business.
It is a key differentiator for eCommerce success, and when done right, will produce a tangible difference over your competition.
It will make sure that your products rank in Google, your customers can find the product, consider your offerings seriously and make their purchase.
How does bad product data affect your eCommerce website?
Customers who don’t see relevant products based on their query - have already left.
It negatively impacts your search results both on-site and with your SEO rankings.
It doesn’t matter if you have the best collection of LBDs.
If your customer can’t find it, they will abandon the site and quickly move onto your competitors.
If the products are incorrectly tagged, the chances of them showing up on your search feed will be zero.
Seamless product discovery is vital for a good user experience and conversions.
Imagine you walk into a physical store and ask the attendant to bring you a black, V-neck, t-shirt.
A pretty simple request, right? We think so too.
The attendant returns a few minutes later with blue jeans.
What would you do? We agree – we’d leave too.
Your product data, or at Okkular as we call it, Product DNA, forms the cornerstone of personalisation for your online store.
Correct product data can help build filters that allow your customer to find the exact products they are looking for without trailing through the entire catalogue.
Skimming through an endless catalogue is tedious for customers and results in decision fatigue, causing the customer to drop off.
Why eCommerce Retailers need AI Product Tagging
Traditionally eCommerce store owners would manually add product specifications to images.
But, with AI product tagging, this process can be entirely automated.
Automated product tagging uses deep learning to classify and add tags to product images based on the various data points in the image.
Auto-tagging products increases operational efficiency by cutting the tagging time down to 10 seconds per image (as opposed to close to five minutes).
This technology has become the backbone for various AI-driven products in the retail arena.
Automated product tagging technology can identify objects in moving images, videos, or, say, any sort of visual content, along with its visual attributes such as clothing, footwear, jewellery etc.
The technology truly understands shopper behaviour and preferences.
Not only that, the technology constantly gets smarter and more innovative through data-driven continuous learning systems.
It engages with the customer in a way that enhances customer experience, leading to higher sales and helping create a holistic persona for each shopper.
Automated eCommerce product tagging is key for on-site personalisation.
With every click on a product, the system becomes aware of specific attribute-wise preferences, which is then combined with data-driven historical behavioural patterns.
This enables the personalisation engine to become much more powerful and accurate in interpreting the shopper’s intent.
For more information, visit www.okkular.io or contact Fiona Aaron on 0431 178 806.