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.

Guide shoppers from questions to confident next steps, so fewer people hesitate, stall, or leave before deciding.
Shape comparisons and recommendations in real time, helping customers discover the right products and higher-value options.
Gather customer insights from real shopping conversations instead of losing them to external AI.
Support exploration, comparison, and decision-making differently, so guidance fits what customers are trying to do.
Handle open-ended needs and evolving questions as they move naturally through the journey.
Run AI outputs through your brand’s voice, guardrails, and security standards, before they ever reach a shopper.
Control which recommendations are allowed and how they appear, regardless of the AI model you use.
Capture what shoppers really want inside your experience, instead of losing that context to third-party AI tools.
Feed signals into your data stack to strengthen personalization, segmentation, media activation, and product strategy.
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Growth Plays
When you understand every customer and act fast, growth compounds across the entire journey.
Lookalike Audience Expansion
Intent-Based Targeting
AI Discovery Optimization
Anonymous Visitor Identification
Progressive Profiling
Vwam
First-Purchase Acceleration
Abandon Cart Recovery
Order Value Expansion
Customer Reactivation
Loyalty Tier Progression
Smart Replenishment Upselling
Customer Drop-off Prediction
Advocacy Growth
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.
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.
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.
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.
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.
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.
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.