The Next Generation of Shopping Assistants: Combining AR, Voice and AI for Low-Friction Commerce

Shopping assistants are entering a new phase. For years, much of the energy in immersive commerce centered on camera-led experiences such as virtual try-on, room visualization and 3D product placement. Those capabilities still matter because they solve an important customer problem: uncertainty. When people want to know whether a lipstick shade suits them, whether a sofa fits their space or whether a product looks right in context, augmented reality can turn hesitation into confidence.

But the future of commerce will not be built on visual interfaces alone. The next generation of shopping assistants will be multimodal, combining AR, voice and AI across mobile devices, connected devices and branded ecosystems. The opportunity is not to force shoppers into a single new channel. It is to orchestrate different interfaces around different needs so commerce feels easier, more relevant and more useful from moment to moment.

Different shopping tasks require different kinds of help. Some moments are confidence-heavy. Others are effort-heavy. Some are best served visually, while others are better handled through conversation or automation.

AR is most powerful when the customer needs contextual reassurance before taking the next step. That is why virtual try-ons, room visualization, 3D exploration and interactive product views continue to create practical value. They help customers understand fit, shade, scale, form and features in ways static content cannot. In high-consideration categories, that added confidence can shorten the path from browsing to buying.

At the same time, many commerce interactions do not need a camera at all. Reordering household staples, checking delivery status, updating account details, comparing options or asking whether a product is available in another size are often simpler through voice or conversational interfaces. In these moments, the goal is not immersion. It is reduced effort.

This is where voice and conversational AI become strategically important. They let shoppers express intent naturally, ask for help in plain language and complete routine tasks faster. For replenishment, account support and service inquiries, conversational interfaces can remove friction far more effectively than a visually rich experience ever could.

The strongest shopping assistants will not treat AR, voice and AI as separate innovation tracks. They will combine them around the customer journey.

AR should support the moments where seeing creates clarity. Beauty, fashion-adjacent categories, home, automotive and other high-consideration purchases are strong examples. Customers want a better sense of how something will look, fit or function before they commit. In these cases, immersive layers can increase confidence and help bridge digital research with physical action, whether that means completing the purchase online or visiting a store better informed.

Voice and conversation should support moments where speed and simplicity matter more than visualization. Routine restocking, search, list-building, order updates and basic support are natural fits. Rather than navigating menus or filters, customers can state what they need and move on quickly.

AI connects the experience across both. It can tailor what a shopper sees in an AR experience, summarize options, surface the most relevant products, learn from prior behavior and improve how the assistant responds. Just as important, AI can make conversational experiences more helpful by improving recommendations, adapting responses and enabling more personalized service at scale.

The key principle is simple: AI is a tool, not the outcome. Shoppers do not care that a model is involved. They care that decisions feel easier, recommendations feel relevant and service feels smoother. Usefulness, not technical novelty, is what earns repeat engagement.

Early immersive commerce often focused on the spectacle of the interface itself. But customers rarely want every interaction to become an immersive event. Holding up a phone can be engaging in short bursts, yet tiring over time. Some AR experiences still require too much onboarding, too much device effort or too much learning for everyday use.

That is why the next chapter is not about replacing every shopping touchpoint with AR. It is about understanding where immersion genuinely improves the journey and where a lighter interface works better. A customer might discover a product through social content, explore it through AR on a mobile app, ask follow-up questions through chat, reorder it later by voice and receive proactive service updates through a connected device. That is a stronger model than asking one interface to do everything.

For brands, the most valuable multimodal journeys will often happen on owned channels: websites, mobile apps, loyalty platforms and connected brand environments. These channels offer tighter control over experience design, clearer paths to conversion and stronger integration with payments, service, personalization and first-party data.

That matters because the future of shopping assistants is not just an interface challenge. It is a systems challenge. A useful assistant needs access to product data, inventory, pricing, fulfillment options, customer preferences, loyalty status and service history. Without that foundation, assistance becomes fragmented and generic. With it, the experience can feel continuous across touchpoints.

A product explored visually on a phone should be easy to revisit later through a voice assistant. A question asked in chat should inform the next recommendation. A replenishment preference set in one channel should carry into another. As channels multiply, continuity becomes part of the value proposition.

Multimodal commerce only works when the underlying data is connected. AR experiences, guided journeys, voice interactions and conversational support all generate signals about what customers want, what they compare, where they hesitate and what motivates action. Those signals are far richer than traditional page views alone.

When unified properly, they can improve segmentation, personalization, loyalty design and next-best-action decisions. They can also help brands create more responsive operating models, connecting front-end experiences to commerce, content and service systems in near real time.

This is one of the biggest reasons to think beyond isolated pilots. A virtual try-on tool, a chatbot and a voice reorder function may each show promise individually. But the real strategic value appears when they are designed as parts of one connected experience system rather than as standalone features.

As shopping assistants become more proactive and more personalized, trust becomes a design requirement. Customers need clarity about what the assistant is doing, what data it is using and when automation is shaping recommendations or decisions. Transparency, control and reliability are not optional extras. They are part of the experience.

Brands should also scale with discipline. The right starting point is not to deploy every emerging interface at once. It is to identify the moments where customers experience the most friction, then match the right modality to the right problem. Where visualization improves confidence, use AR. Where routine tasks demand less effort, use voice or conversation. Where personalization can make the experience more helpful, use AI.

The next generation of shopping assistants will not be defined by a single breakthrough device or one dominant interface. It will be defined by orchestration across touchpoints, journeys and systems. AR will continue to matter because visual confidence matters. Voice and conversational experiences will grow because convenience matters. AI will matter because it helps brands make both more useful at scale.

For commerce leaders, that creates a clear mandate: build around usefulness rather than novelty, design for ecosystems rather than isolated channels and connect immersive, conversational and intelligent experiences through a unified data foundation. When done well, shopping assistants stop feeling like experiments. They start feeling like a practical, low-friction layer of modern commerce.

Relevant Links

• AR: Lessons Learned So Far
• AR: Lessons Learned So Far
• Immersive Automotive Retail: How AR and XR Can Improve Discovery, Configuration and Showroom Efficiency
• Trust, governance and scale
• Le commerce immersif en Europe : faire de la réalité augmentée un levier de croissance mesurable (Europe)
• Comercio inmersivo e IA útil en América Latina: cómo convertir la novedad digital en crecimiento medible (LATAM)
• FAQ (FAQ)
• 12 Things Buyers Should Know About Publicis Sapient’s Approach to Immersive Commerce, AI and Owned Digital Experiences (LIST)
• Owned Immersive Commerce: How Brands Move AR From Buzz to Measurable Value on Their Own Channels