Growth Play

AI Shopping Assistant

Traditional search asks customers to figure out exactly what they want. The Vwam AI shopping assistant understands what they’re trying to do and guides them there. Confidently.

Lift conversion rates

Guide shoppers from questions to confident next steps, so fewer people hesitate, stall, or leave before deciding.

Increase AOV

Shape comparisons and recommendations in real time, helping customers discover the right products and higher-value options.

Capture first-party signals

Gather customer insights from real shopping conversations instead of losing them to external AI.

Curated AI Guidance Built Right into your website

COSRX launched a fully conversational shopping experience without engineering support

COSRX used Vwam to:

Guide shoppers across a large and complex skincare catalog

Reduce setup time from days to hours

Test and adjust rules and tone instantly

Help customers find the right products faster

"We built a fully customized, conversational skincare experience in just a couple of days, and our team can adjust rules, tone, and recommendations instantly. It's already helping our customers discover the right products faster, and we're excited to scale it across our site and campaigns."

- Jiyeon Kim, Global D2C Growth & Customer Experience, COSRX

Common questions

How is the Vwam AI shopping assistant different from a chatbot or on-site search?

How is the Vwam AI Shopping Assistant is different from a chatbot or on-site search because it’s built to guide decisions using natural language, not just answer questions or return results. Instead of responding to isolated keyword queries, it helps shoppers explore options, compare trade-offs, and move toward a choice—all within your site and based on how your brand wants to sell.

How do brands stay in control of AI shopping assistants?

Brands stay in control of AI Shopping Assistants by defining what the AI can recommend and how it behaves (including product logic, brand voice, and business rules). Every interaction follows these guardrails, ensuring guidance is accurate, on-brand, and aligned with how the brand wants to show up.

Where does the AI shopping assistant live?

The shopping assistant lives inside the digital experiences your brand already owns, such as your website. Shoppers are guided without being redirected off-site, keeping decisions, influence, and data within your ecosystem.

What data does the AI shopping agent learn from?

The AI Shopping Assistant uses on-site signals from guided shopping interactions, combined with your product data and customer context. These signals are captured as first-party intelligence and used to improve guidance and downstream experiences over time.

How quickly can teams deploy Vwam?

Most teams can launch Vwam in three days or less, using pre-configured frameworks and existing data sources. No long implementation cycles or major site rebuilds are required.

What can an AI shopping assistant do?

An AI Shopping Assistant helps customers find the right products through natural conversation, instead of relying on keywords, filters, or checkboxes. It guides exploration, comparison, and decision-making directly on your site.

What are the AI shopping assistant capabilities?

The AI Shopping Assistant capabilities are: Vwam supports conversational discovery, guided comparisons, and brand-controlled recommendations. It adapts to each shopper’s needs, captures first-party insights from shopping conversations, and keeps guidance on-site and on-brand.

Let’s bring guided shopping to your site. Live in just days.