Auto-tag product descriptions

Auto-tag Product Descriptions

Levity’s smart tagging engine automatically analyzes product specifications and classifies them into the categories you need

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Why bother?

The product tagging process for online stores is in need of more efficient solutions that reduce manual work without affecting the quality of the user experience.

E-commerce stores have to manage large amounts of different items in their product catalogs. This involves hours of manual tagging according to different attributes, such as type of clothing, color, style, or pattern which costs time and money. Further, such subjective categorization is prone to human error and simply not scalable in the long run.

Apart from the operational costs, taxonomy optimization has become the key to understanding customer behavior. It can provide data about the performance of your product categories, enhance personalization for product recommendations and facilitate product discovery.

For example, If a new product is added to your online catalog, it can automatically be tagged as “Animal print”, “Dress”, “Summer vacation”, or any other label you currently use.

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Auto-tag your product catalog to create a convenient user experience

Hours of time spent on manual tagging instead of focusing on the important stuff.

Automate all product tagging in minutes, with minimum human interaction.

Human errors and inaccuracies show as the amount of data increases.

Given the right data, AI is more accurate than human intervention. Plus, it keeps learning as you go!

Lack of on-site personalization

Enrich product discovery and recommendation with custom categorizations for non-visual attributes such as style or theme.

Automate what you couldn't automate before

Levity starts where rule-based automation ends

Prioritize meaningful work and save precious time.

Minimize errors even with high volumes of data.

Create a better UX and customer journey on the site.

Rise above mundane tasks

FAQs

You have come a long a way to get here and you might have some questions.

Do I really need Artificial Intelligence to solve my problem?

AI allows us to solve problems that software alone hasn't been good at solving in the past but that doesn't make it the silver bullet for every business problem.

Broadly speaking, AI comes in when processes are not solely based on rules or when there is lots of variation (dozens of if-then rules) which would make rule-based automation unattractive.

A good indicator whether AI should be applied is when you have already tried other ways to automate somethings and it ended up not working because there was too much data to deal with OR the complexity had to be handled by humans. Specifically to our case, this is when you are working with media like text, images, or documents.

If you are still unsure, don't hesitate to contact us. We are not going to sell you anything that doesn't solve your problem and if we see that you need something different we will tell you so.

How can I integrate a model with my process?

We already have a few hundred integrations with other software tools. All you need to do in our app is specify where the data comes from and what should happen with the prediction – all in our visual workflow builder.

Do I have to know how to write code?

No. You can access everything without having to write a single line of code. You can access our API directly, but that is entirely optional.

AI can mean lots of things. What’s the deal here?

When we speak of AI, it’s shorthand for a range of deep neural networks underneath. Depending on the data and task you want it to solve, the best architecture will be picked for you.

Is it possible to train a model tailored to my processes?

Yes! This is one of the most important aspects of the software. You can define any category or label that you need right on our platform and train the system according to your needs. Above are just a wanted few examples.