A Guide to Reinventing Product Attribute Tagging with AI-Powered Tools

Product attribute is indeed a crucial component of the eCommerce industry. If you are someone who wants to step into this industry and excel well, then you have to understand that product attribute tagging is essential. It helps in driving customers to your website, improving discoverability as well as boosting the conversion rate. If done properly, it can help you excel well in your business, bringing greater outcomes. 

This blog is your guide to understanding product attribute tagging along with any intricacies, benefits, and possible challenges as well as AI-powered solutions for product tagging.  

An Overview of Product Attribute Tagging

Product attributes are simply the features and characteristics of your product that define it for a more discoverable approach. 

Product attribute tagging is the method of attaching the product tags, labels as well as the properties of the product to make them easily searchable. It helps your customers find what they are looking for when the tags include information like size, colour, as well as brand name. 

These are all effectively used as the tags making your product more discoverable to the target audience and driving the traffic to your eCommerce business website. Attribute tagging also helps in filtering the products based on their attributes and can improve the product selection process for your target audience, allowing the customers to discover and select the products that serve or meet their specific requirements. 

Product attributes can be defined globally so it is easy to update them across your eCommerce store and can be used on any product. However, these attributes can also be defined individually which means that the taggings and attributes will exist for a single product and not all products. 

Therefore, this is the kind of result eCommerce businesses demand and product attribute tagging helps this way with a distinctive approach.   

What are the challenges in Traditional Product Tagging Methods?

It cannot be denied that AI-powered models and machine learning has drastically taken over the e-commerce industry by revolutionizing product tagging methods. However, there are also challenges to traditional product attribute tagging that can slow down the business growth and lead to inconsistent product deliverability. Let’s uncover what are the commonly witnessed challenges with conventional product tagging methods:

1. Time-Consuming

Earlier manual product tagging was the adopted method which was bound to take more effort, more time and more energy however, it is not an appropriate or viable method anymore as now the marketplaces have thousands of products or items to manage. Handling such complex inventory manually would be very confusing and time consuming. 

2. Inaccurate and Inconsistent

There is always going to be distinction in results when humans are manually carrying out any of the processes because with an increased number of items attributes management can come with greater inconsistencies, resulting in errors. It can also cause any mismatching issues that can be the result of similar items falling in the same category. This leads to a negative impact on customers about inaccurate results, leading to reliability issues for e-commerce store. 

3. Costly

With great manpower comes great labour costs because to manage a large-scale business, a huge team of workers or employees would be required, adding additional costs. Opting for fewer staff would not be an escape as the management would become even more difficult, impacting sales and resulting in slow growth. Additional labour costs add more to the cost which can lower profit margins.

4. Less Scalable

A manual tagging method can be chosen if the business is not on a large scale because even the inventory would consist of a limited amount of items. A business consisting of thousands of items with different categories in place, will not be handled properly as large inventories require a scalable option for its management which cannot be done provided the manual efforts.

Benefits of Implementing AI-Powered Product Tagging

Artificial intelligence in combination with Machine Learning is a great technological revolution that has taken over all sorts of industries. Product tagging is another essential method that can transform the entire e-commerce business, impacting it positively and making room for more sales and conversion.

The benefits of implementing AI-powered product tagging are major, let’s see what are these:

Accurate and Improved Product Matching

Sometimes it becomes difficult to accurately add multiple or relevant tags which can potentially result in irrelevant tags insertion or inaccuracy. With automated product attributes tagging businesses get access to the same terminologies or even the synonyms used to describe the items you list on your online eCommerce store. 

However, with AI-powered product tagging you can easily match your product attributes, to serve your target audience with relevant or similar product matches. It not only boosts the revenue but also improves the overall customer experience. 

Enhanced Personalization 

At first, there used to be just basic data and the results were presented merely on the behaviour patterns and demographics. Now the recommendations have become all the more personal, providing your customers with the pop-ups, notifications, items or results that they are looking for by assessing the additional data provided by the AI. 

It not only creates personalized recommendations but also boosts customer retention by gathering deep data which makes the buyers keep coming back for more.  

Boost Conversion Rate and Sales 

With AI-powered product tagging relevant results and better visibility can be expected as the products are categorized correctly, consisting of all the relevant synonyms matching the product attributes for refined results. It draws the attention of the buyer successfully which in turn boosts the overall conversion rate and generates more sales for your business.   

Catalogue Optimization

With AI-powered product attribute tagging you get insights into the product’s performance as well as its characteristics. It helps you understand which product is selling fast, which product is in demand, which one is not performing well and much more. 

It can help you with improved prediction for desired catalogues and help you make better decisions on producing demanding purchases, better inventory management saves your time, and overproduction and minimizes wasted expenses.

What is the importance of Product Attribute Tagging in E-commerce?

Product tagging is crucial in allowing the sellers to display the right products to the target audience looking for those products at the right time. eCommerce business is all about helping your customers find the right product that meets their specific requirements, and it can only be done effectively with the strategic use of product attribute tagging. 

1. Inventory Management

The organization and categorization of the product under the inventories becomes all the easier with product attribute tagging. A variety of product attributes and tags are used for easily tracking the inventory for quickly monitoring product variations as well as stock quantities. Attribute tagging helps drive relevant data-based insights in no time by helping businesses with order fulfilment as well as improved customer experience.

For example, Amazon provides its sellers with the inventory management tools where they can effectively list their products, create shippings and send alerts to them whether their items are in stock or need to be restocked. 

2. Improved Product Matching Capabilities

It is crucial to have accurate product matching across multiple websites and resources for gaining a competitive edge, more prominently when matching relevant tags or similar products. Attribute tagging helps well with improved product matching by effectively matching the attributes of the product with the same or similar products based on brand, size, colour, model, etc.

For example, here is a comparison between Amazon and Walmart product listing for comparison:

The product attributes on Amazon for iPad (9th Generation) are listed as: Apple MacBook Air Laptop: Apple M1 chip, 13.3-inch/33.74 cm Retina Display, 8GB RAM, 256GB SSD Storage, Backlit Keyboard, FaceTime HD Camera, Touch ID. Works with iPhone/iPad; Space Grey

On Walmart the attributes are listed as: Apple MacBook Air 13.3 inch Laptop - Silver, M1 Chip, Built for Apple Intelligence, 8GB RAM, 256GB storage.

3. Assortment Gap Analysis

There are often gaps that are discovered while going through the customer's requirements in the targeted industry. It helps businesses categorize as well as improve their product offerings. The businesses can easily understand the gaps in the assortments compared to their competitors to identify the missing gaps for improved outputs. The search for customers becomes even more efficient as well as the product attributes are fine-tuned to include more relevant product tags for additional filters and refined results. 

For example, you search a backpack on amazon and you will see how you will find the options from different sellers on the website, you will see how they have added the attributes and tag, same way you can identify the gap in yours and modify product attributes accordingly.

4. Assortment Depth Analysis

As there are several variations even within the category; assessing the details and these variations becomes crucial to ensure accurate matching and delivering customer demands. Upon segmentation based on behaviour, demands, geography and several other factors, you can easily map your product assortments. With product attribute tagging, custom categorization can be achieved which can lead to detailed assortment comparisons, leading to accurately assessing the product offerings against the competitors.

For example, A specialized running shoe brand like Nike might only sell athletic footwear, stocking a wide range of shoes from different brands and designs designed for particular kinds of races and training. 

On the other hand, a general fitness brand like Puma may have a greater selection of sportswear and equipment but a smaller selection of running shoes.

WebDataGuru's AI-Powered Solutions for Product Tagging

WebDataGuru is equipped with AI-powered solutions for product tagging that helps in inventory management, and eCommerce product categorization. Using our advanced AI-powered solutions you will step into the new era of accuracy, consistency and efficiency. 

Our data extraction and price intelligence services have successfully delivered unmatched results to the business by helping them align with their goals to stay ahead of the industry competition and redefine themselves in the industry. 

• With our Real-Time Price intelligence, businesses get in-depth insights into the competitor’s price offerings on similar or relevant products to help them position their products’ prices for maximized profits.

• We fuel businesses to grow through our AI-powered Data Extraction which reduces any additional expenses or extended time consumption, to fetch the product attributes in no time by increasing efficiency and allowing businesses to focus on other important parts, saving costs and time. 

• At WebDataGuru we also analyze your targeted market to gather crucial data concerning competitor activity, pricing strategies as well as product offerings using AI Product Matching to deliver accurate price comparisons and personalized recommendations for enhanced customer experience.

Conclusion

Product tagging for eCommerce is an extremely crucial luxury without which a business holds no meaning. With the introduction of AI-powered tools along with the integration of Machine learning technology, not only precision is served but also constant improvements. 

With WebDataGuru’s advanced or automated product tagging methods you can manage the inventory more effectively, gain real-time price intelligence tool access, eliminate any human errors, as well as easily adapt to the constantly changing trends of the industry by analyzing the gap in the assortments. 

If you want to scale your business and improve your sales exponentially through improved product tagging then get in touch with us today!