How product attributes can make a difference

29 Jul 2019

Anna loves shopping. You can regularly find her in in the weekend in the latest boutique shops or go to her local high street. Although she does her shopping now and then online, she prefers to actually go to a shop where she can really feel the fabric, see how bright the colour, maybe even see the washing instructions or select her clothing items that have a fair-trade certification.

Brenda also loves shopping, but she tends to shop online quite a lot more. It’s really convenient especially with her busy lifestyle and she has found some great websites that are giving her almost the same experience as the actual shops. She likes high-quality products, merino wool is her favourite, but she doesn’t have to worry.

Her favourite online store has a big assortment where she can easily select her fabric, the style she is looking for and the colours she prefers. She loves that she doesn’t have to scroll through the whole website to find what she needs. She knows there are a few online shops that don’t offer this option, and she tends to ignore them, instead she rather finds a shop that does, even if that means using shops like Amazon in the US. 

As we have seen from research in New Zealand, consumers are trying to shop more local, but it can be frustrating for consumers like Brenda, especially when it’s hard for them to find what they are looking for. Product attributes are a great solution to this problem. 

An eCommerce study by the Nielsen Norman Group says, 20% of purchase failures are potentially a result of missing or unclear product information. 

Product attributes can make or break purchase

Today, shoppers want high-quality product information that gives them enough detail to make a purchase decision. 

Retailers are increasingly gravitating toward catalogue intelligence to help them generate metadata that is clean, standardized, brand-language compliant, and consistent. Using AI technology, tagging engines extract product e-commerce attributes that go beyond just colour or pattern and include category, gender, pattern, dress length, sleeve length, neckline amongst others, from images automatically.

Product attributes help optimise content for SEO

Title descriptions include keywords relevant to the content on the website they are listed at. These keywords help search engines understand the content of the page and list the website accordingly for relevant phrases. 

Titles also give shoppers a sneak peek into the content of your website and help them filter information relevant to their search or query.  Shoppers use this metadata to decide which search result to click on, which makes it all the more important to use high-quality and relevant titles to optimize your website and ensure a better ROI on ad spend. 

Product attributes save cost

Did you know that manual tagging consumes more than 30 hours in a week to tag only 200-300 products per day? Manual labeling is erroneous, time-consuming and lacks uniformity.

The process of manually identifying and labeling product description is prone to human errors like missing details, spelling mistakes, incorrect category mapping, duplication of information and ambiguous product titles. Managing a catalogue like classifying products into categories, identifying attributes and creating titles and descriptions can be a tedious process if done manually, requiring substantial resources and time and causes human fatigue – which can cost your business dearly.

The good news is, automated product tagging gives you 10x faster product digitization while saving significant operational cost with AI-generated tags, titles, and description with enriched and consistent product data, retailers get standardized product information on websites and across selling platforms. Upload, review tags, publish and you’re done! 

Here at Solutionists we are working together with Okkular (AI-based) for product attributes. Would like to learn more? Contact us today.


Jessica de Heij

date published:

29 Jul 2019