Discovery in human language
Let a shopper describe what they need, not guess the exact product name or filter combination.
OARC DIGITAL / CONVERSATIONAL COMMERCE
Conversational commerce — start with a question, end with a next step
OARC creates conversational commerce and AI shopping experiences for retailers in Malta and beyond. Shoppers can search in natural language, compare suitable products, ask questions and get help from discovery through the basket and checkout.
Built around your existing tools, permissions and review process.
A standalone OARC service. Looking for a managed Voice AI Worker configured for your industry? Voice AI Worker →
A working system, not a demo
SEARCH IN HUMAN LANGUAGE
CHOOSE WITH CONFIDENCE
SUPPORT THE PURCHASE
01 / The point
More of the right products make it into the basket.
Your catalogue becomes easier to explore in the words shoppers actually use. A person can describe the occasion, budget, fit or problem rather than guess your product names. The experience can surface suitable choices, explain trade-offs and support a decision instead of leaving intent stranded inside a search box.
The useful measure is not how clever the system sounds. It is the completed work, the decision it supports and the evidence left behind.
01natural-language entry
→guided discovery
□checkout support
02 / On the other side
↗
The shopper gets help without the hard sell.
They can ask for a gift, a size, a material, an allergy requirement or a combination of needs. They get useful recommendations, clear reasons, product answers and guidance through the basket when they are ready to buy. They keep control of the decision.
That is the distinction: the business gets a clearer operating picture, while the person on the other side gets a shorter path to a useful answer.
03 / What we make real
From question
to outcome.
Recommendations with reasons
Suggest products while explaining the fit, trade-off or detail that makes each one relevant.
Questions answered in context
Handle product questions from the approved catalogue and point people to the detail that matters.
Search and recommendations
Use catalogue information and merchandising rules to connect shopper intent with products that genuinely match it.
Basket and checkout guidance
Help with comparison, basket questions and the next step without taking control away from the shopper.
Merchandising insight
Expose the questions, hesitations and combinations customers express so the retail team can improve content and merchandising decisions.
04 / A grounded build
Useful on day one.
More accountable over time.
01
Understand the catalogue
We structure the product information, attributes, policies and merchandising rules the experience is allowed to use.
02
Design the buying conversation
We map the questions shoppers ask, the comparisons they need and the points where a recommendation must explain itself.
03
Connect discovery to purchase
The experience supports the route from search and recommendation into the existing basket, checkout and human-support journey.
In Malta — local context
Conversational commerce in Malta has to support both the St Julian's visitor economy and the everyday family decisions made around Mosta. A guest comparing restaurants, experiences, or services needs a fast answer on mobile, while a local buyer wants confidence that the recommendation, price, availability, and next step are real. We design the conversational layer around approved catalogue data, booking or basket systems, and a clear handoff when a person should take over. Malta tourism businesses get a faster path from intent to a useful reservation or purchase.
05 / Plain answers
Questions buyers
actually ask.
It is a shopping experience where people can use natural language to discover products, ask questions, compare options and get basket or checkout guidance.
OARC DIGITAL