ISAAC AI Commerce
Your online store. Tailored to every customer.
We build intelligent online stores where AI understands purchase intent, improves search, adapts recommendations and connects the right products with the right customers.
Adaptive Commerce Engine
- Intelligent search
- Product discovery
- Personalisation
Examples
Customers don't search for words. They search for solutions.
The same logic works across industries: AI understands what the customer needs and applies it where it helps the customer most.
The customer describes what they need. AI first understands the intent, and the store then uses it in several places at once – not only in the search results.
The customer types
»I'm looking for front brake discs for an Opel Astra K 2018 1.6 CDTI, ATE alternatives are fine too, as long as they fit.«
Recognised intent
- Vehicle:
- Opel Astra K, 2018
- Engine:
- 1.6 CDTI
- Product:
- Front brake discs
- Preference:
- Original or a fitting replacement
- Brand:
- ATE or equivalent
The store adapts
Search results
Only discs that fit the vehicle and engine. ATE at the top, with comparable alternatives next to it.
- ATE · front disc, pair
- Comparable brand · pair
- Original part · pair
Home page
On the next visit, offers for the brake system and servicing of the Astra K instead of a generic promotion.
- Brake kit for the Astra K
- Service packages for the 1.6 CDTI
Category
In the Brakes category, products that fit the selected vehicle come first.
- Filter: Opel Astra K 1.6 CDTI
- First: matching products in stock
Additional offer
Brake pads and a wear sensor for the same vehicle – a useful add-on, not a random more expensive product.
- Front brake pads
- Pad wear sensor
The customer describes the holiday as they would to an agent. AI finds suitable offers in all the agency's sources, prepares a quote and, with the customer's consent, emails it – and records the contact in your system.
The customer types
»I'm looking for an affordable holiday in Egypt for two adults and two children, half board, between 15 and 25 July, flying from a nearby airport.«
Recognised intent
- Destination:
- Egypt
- Travellers:
- 2 adults, 2 children
- Board:
- Half board
- Dates:
- 15–25 July
- Departure:
- Nearby airports
- Preference:
- Good value
AI checks the sources
- Supplier and carrier APIs
- Local offer database
- PDF catalogues
- Excel price lists and availability
What the system does
Selection of offers
Only dates and hotels that suit the family, the dates and the departure airports, ranked by price and fit.
- Hurghada · 4* · half board · from Ljubljana
- Marsa Alam · 4* · half board · from Zagreb
- Makadi Bay · 5* · half board · from Graz
PDF quote by email
It asks the customer whether they would like to receive the quote by email and sends a well-formatted PDF.
- Asks for an email address
- Quote_Egypt_July.pdf
CRM or ERP record
The contact, the enquiry and the quote sent are recorded in your system automatically.
- New contact and enquiry
- Link to the quote sent
An agent takes over
The agent sees the whole enquiry and quote and continues with the booking or further suggestions.
- Reminder to call the customer
- All data in one place
Not a chatbot
Customers don't chat with a robot. AI is part of how the store works.
We don't just sell “AI search”, but an intelligent layer of the store that connects search, merchandising and personalisation.
| Area | Classic store | AI Commerce |
|---|---|---|
| Search | Classic store: Matches words in the product name | AI Commerce: Understands descriptions, part numbers, synonyms and intent |
| Ranking | Classic store: The same order for everyone | AI Commerce: By relevance, stock, preferences and your rules |
| Home page | Classic store: The same for every visitor | AI Commerce: Offers and categories based on recognised interest |
| Additional offer | Classic store: Random “similar products” | AI Commerce: A better variant or a genuinely useful add-on |
| Improvement | Classic store: Manual, when there is time | AI Commerce: Learns from searches, clicks, carts and purchases |
What AI manages
Six areas of the store that adapt to the customer.
Intelligent search
Understands part numbers, descriptive queries, synonyms and purchase intent.
Dynamic ranking
Ranks results by relevance, availability, preferences and business rules.
Adaptive home page
Featured offers, categories and product selections adapt to the recognised interest.
Smart upselling and cross-selling
Offers a better variant of a product or a genuinely useful add-on, not a random more expensive product.
Personalised categories
Within a category, highlights the products most relevant to each customer's intent.
Learning from interactions
Improves future ranking based on searches, clicks, carts and purchases.
How it works
From a search query to a store that knows what the customer needs.
Customer query
A description, part number or question
Recognised intent
Product, compatibility, preferences, brand
Search engine and business rules
Relevance, stock, margin, priorities
Adapted store
Results, home page, categories, upsell
On a proven foundation
A fast front end, a dedicated search engine and your rules
We build AI Commerce on the architecture we already use in stores with large catalogues: a React front end, a dedicated search engine and WooCommerce in the background. AI adds an understanding of intent, while your business rules still decide what gets sold.
Our foundation: headless storesYou stay in control
- You decide which brands, stock and margins take priority
- Out-of-stock or unsuitable products are not recommended
- AI does not change prices or make up product features
- Personalisation respects cookie consent
Gradual rollout
Better search first, then adapting the whole store.
There is no need to do everything at once. Each step brings value on its own, and we introduce the next one based on data.
1. Catalogue and search review
We review your product data and what customers search for today, including searches with no results.
Result: Assessment of opportunities
2. Structured product data
We add the attributes, compatibility and synonyms that understanding intent relies on.
Result: A richer catalogue
3. Intelligent search
We introduce intent-aware search and test it on your customers' real queries.
Result: Better search results
4. Adapting the store
We gradually add ranking, an adaptive home page, categories and recommendations.
Result: A store that adapts
5. Measurement and improvements
We monitor searches, clicks and purchases and keep improving the system.
Result: Data-driven decisions
Client testimonials
Store owners we work with.
Translated from Slovenian.
FAQ
What we are most often asked about AI in an online store.
Have another question? Write to info@isaac.si.
Is this a chatbot?
No. Customers use the store as before – they search, browse and buy. AI works in the background and makes sure results, categories and recommendations are tailored to what the customer needs.
Does it work with WooCommerce?
Yes. We build on a headless architecture with WooCommerce in the background, so you manage products, orders and payments as before.
Can we start with search only?
Yes, that is often the best place to start. Intelligent search brings value on its own, and adapting the rest of the store can be added later.
What do we need for AI to understand our products well?
Product data that is as well structured as possible: attributes, categories, part numbers and, for parts, compatibility. During the review we assess the state of your catalogue and suggest what to add.
What about customer privacy?
Adapting within a single visit works without personal data. Long-term personalisation that remembers a customer only works with their consent, in line with the rules on cookies and personal data protection.
Does AI change prices or the offer on its own?
No. AI ranks and selects among your products within the rules you define. It does not change prices or make up product features.
How do we know it works?
We track concrete indicators, such as searches with no results, clicks on results, add-to-cart and purchases, and compare them with the situation before the rollout.
Let's talk about your store
How many customers can't find what they're looking for today?
Send us a link to your store. We will review search and the catalogue and suggest where AI would bring the most value.