Intelligent sales for online stores

AI product recommendation and webshop assistant

Help your customers find the right product faster in a with intelligent AI product recommendation, which is able to understand their needs, ask questions and work from the webshop's product data.

We develop unique AI webshop assistants and product recommendation systems to support online store sales.

AI termékajánló és webáruház asszisztens
Faster product selection Help finding the right product
0–24 sales assistance The customer asks when they want to
Working from product data You can use real webshop information
Better customer experience Less searching and uncertainty
Intelligens AI termékajánló rendszer webáruházhoz
Not just related products

What is AI product recommendation?

The AI product recommendation an intelligent system that connects the customer's questions, needs and preferences with the product data of the web store.

A traditional recommendation system often makes recommendations based on predefined categories, purchase history, or simple product relationships.

A more advanced AI system can understand what the customer is actually looking for in natural language and then suggest relevant alternatives based on the available product data.

Simple example:

„I'm looking for a laptop for university and video editing that is lightweight but under HUF 400,000.”

AI doesn't just search for keywords, it can interpret the demand itself.
More than a chatbot

What can AI be used for in an online store?

The goal is not just another pop-up chat window. AI can become a real part of the customer decision-making process.

01

Product recommendation

You can recommend relevant products based on the customer's needs, intended use, and preferences.

02

Product search in natural language

You don't need to know the exact product name. The customer can simply describe what they want to use the product for.

03

Compare products

It can help you review the features, benefits, and differences of multiple products.

04

Questions before buying

Size, compatibility, technical parameters, usage or other product information can also be queried.

05

Recommend accessories

You can also suggest relevant accessories or related products for the selected product.

06

Collecting leads

If the buyer still can't decide, they can ask for contact information or forward the question to the seller.

Digital salesperson

How can an AI webshop assistant work?

Let's say there are hundreds or thousands of similar products in an online store.

  • The customer describes what product they are looking for and what they would like to use it for.
  • AI asks clarifying questions.
  • Analyzes relevant product data.
  • It narrows down the selection to a few suitable products.
  • Explains important differences.
  • The buyer can proceed directly to the appropriate product.
Instead of browsing through hundreds of products, the customer can get relevant choices after asking a few questions.
AI webshop asszisztens termékválasztás közben
A different shopping experience

Search engine, traditional recommender or AI product recommender?

These are not interchangeable systems. A well-designed online store can use all three solutions.

Keyword

Webshop search

The customer enters a keyword and the system searches for results.

  • Quick search
  • By product name
  • Category search
Algorithmic

Traditional product recommendation

It recommends products based on behavior, category, or previous purchases.

  • Related products
  • Others bought this
  • Upsell / cross-sell
AI webáruház integráció WooCommerce termékadatok CRM és készletkezelés között
With real product data

AI can be connected to the web store's product system

The value of an AI webshop assistant increases significantly if it works not from general internet information, but from the webshop's own structured product data.

With appropriate technical capabilities, AI can be connected to multiple corporate data sources and systems.

WooCommerce WordPress Product XML Product API Database Inventory data Prices CRM ERP Ordering information Knowledge base API

In each project, we define what data the system can use and what operations it can perform.

Development process

How is a unique AI product recommendation created?

The development is based on understanding the customer decision process and the product data of the web store.

1

Business purpose

We determine where customers get stuck and what problem AI should solve.

2

Product data

We map products, attributes, categories, and data sources.

3

Recommendation logic

We determine the criteria on which products should be selected.

4

Development

We will create the first working recommendation or webshop assistant system.

5

Testing

We use real customer questions to verify the relevance and functionality of recommendations.

6

Measurement and development

We will further refine the system based on usage data, conversations, and conversions.

Real product data, controlled responses

AI cannot recommend a product that is not available.

In an online store, it is especially important that AI responses are aligned with the actual product offering, technical data, prices, and inventory information.

✓ Use of authorized product data
✓ Taking into account current supply
✓ Product features from a verifiable source
✓ Handling uncertain issues
✓ Handover to a human salesperson
✓ Continuous testing and fine-tuning
When can it be really useful?

Which online stores are worth considering AI product recommendations for?

Many similar products It is difficult for the customer to see which product would be right for them.
Complex technical products There are many parameters and compatibility considerations to consider.
Many questions before buying Customer service regularly receives the same questions.
Large product catalog It is difficult to choose manually from hundreds or thousands of products.
High cart abandonment The buyer is uncertain and leaves the webshop without making a decision.
Expert sales required Expert help is regularly needed when choosing a product.
Not every webshop needs the same

AI product recommendation is good if it makes shopping easier

A smaller online store with a few products may not need a complex AI system. However, for a large or complex offering, a well-designed shopping assistant can significantly simplify product selection.

Let's take a look at your webshop
Frequently asked questions

AI Product Recommender – FAQ

What is AI product recommendation?

A system based on artificial intelligence that can help you select suitable products using the customer's needs and the product data of the web store.

What is the difference between a traditional product recommender and AI?

While traditional recommenders often work based on pre-defined relationships or behavioral data, an AI-based system can also interpret requests expressed in natural language.

Can it be integrated into a WooCommerce web store?

In many cases, yes. The specific solution depends on how the product data is accessed and what integration options the online store provides.

Can you use current product data?

With proper integration, the system can also use current product properties, prices, or inventory information.

Can you compare products?

If you have the right structured product data, AI can help highlight important differences and features.

Can you recommend additional products?

Yes. Relevant accessories can be recommended based on product relationships and compatibility data.

Can it work in Hungarian?

Yes. Processing Hungarian-language customer questions and Hungarian product data is also possible.

How much does an AI product recommender cost?

The cost depends on the size of the product catalog, data sources, integrations, and required features. We will prepare an accurate quote after a survey.

Can you replace salespeople?

This is not necessarily the goal. AI can primarily help with repetitive product selection questions and initial orientation, while complex cases can be handled by a human salesperson.

Can we make a small pilot first?

Yes. It is often best to start with a product category or well-defined task and then expand based on experience.

Easier product selection, better customer experience

Provide intelligent sales assistance to your online store customers

Tell us what products you sell, what questions your customers ask, and where they get stuck in their decision-making process. We'll explore how AI can make the purchasing process simpler and more efficient.

Request a free consultation