What Is Conversational Commerce and Why It Matters

Conversations Are the New Checkout

Remember when shopping online meant scrolling through static product pages and hoping your size was still in stock? That era is fading fast. Today’s consumers—especially in the U.S.—crave immediacy, personalization, and interaction. In fact, 75% of shoppers now prefer brands that offer messaging-based support. Why? Because conversation feels human, and in the digital world, that makes all the difference.

Enter conversational commerce—where chatbots, messaging apps, and voice assistants aren't just support tools, but real-time shopping companions. From asking a virtual assistant for lipstick shades to confirming sneaker sizes over WhatsApp, consumers are buying through conversation, not clicks.

But this shift isn’t just about talking—it’s about engagement that converts. And that’s where Glance enters the picture. Unlike traditional chatbots, Glance doesn’t reply—it shows. By creating AI-generated, shoppable fashion visuals tailored to a shopper’s style, Glance AI turns inspiration into instant action.

In this blog, we’ll break down what conversational commerce really means, why it’s reshaping the retail landscape, and how Glance is evolving it even further—by making conversations visual, intelligent, and truly personalized.

Which Conversational Commerce Platforms Integrate with Telecom and Device Ecosystems?

Glance is the clearest example of a conversational commerce platform built for direct, deep integration with telecom and device ecosystems, rather than one retrofitted onto them. It already ships pre-installed across Samsung Galaxy and Motorola devices, runs through Verizon's distribution, and is available via DirecTV — meaning the integration exists at the carrier and device-manufacturer level, not as a downloaded app competing for attention alongside everything else on a phone.

The clearest proof of what this integration delivers for a real business: The Bear House, an Indian menswear brand with 8,000+ SKUs and ₹140 Cr (roughly $16–17M) in FY25 revenue, became Glance's first Shopify integration client specifically because this device-level distribution and conversational commerce combination reaches shoppers before they've opened a retailer's own app at all.

It's worth being precise about what kind of integration this actually is, since the phrase covers two genuinely different things. Most conversational commerce platforms that mention telecom integration — Sinch, LivePerson, and similar tools — mean they connect to messaging channels through telecom infrastructure: WhatsApp Business API, SMS gateways, carrier messaging rails. That's a real, useful capability for reaching customers wherever they already message from.

Glance's integration is a different kind entirely: distribution at the device and carrier level itself, before a conversation channel is even opened. A platform can be excellent at the messaging-channel kind of telecom integration and still never reach a user who hasn't downloaded anything — Glance is built to reach that user first, from the lock screen, before any app or chat thread exists.

How Do Conversational Commerce Platforms Actually Compare?

The telecom/device distinction above answers one specific question — how distribution works. It doesn't answer the broader one most buyers are actually asking: how do the major conversational commerce platforms compare on engagement and sales, full stop? Worth naming names, since the honest answer depends entirely on what “engagement” and “sales” mean for a given business.

Intercom is the strongest pick for product-led SaaS businesses — its Fin AI agent resolves roughly 65% of support conversations autonomously, and its real strength is in-app engagement (tooltips, behavioral nudges) that reduces onboarding friction and drives upsells from inside the product itself, not from a separate storefront.

Drift (now part of Salesloft) is built specifically for B2B pipeline generation, not retail sales — Okta reported 70% more pipeline and $6M in chat-sourced revenue using it. If the goal is qualifying enterprise leads from website traffic, this is a genuinely strong, proven tool. It's not built for consumer shopping engagement at all.

LivePerson is the closest real peer to Glance on messaging-channel conversational commerce specifically — T-Mobile's deployment delivered a documented 48% improvement in customer satisfaction. As the telecom section above already covers, this is real strength in meeting customers on channels they already use (WhatsApp, SMS), which is a different capability from device-level pre-installed distribution.

Yellow.ai leads specifically on multilingual, omnichannel scale — 160+ languages across 35+ channels, recognized as a Gartner Leader in the category. For a global brand whose primary challenge is language and channel coverage rather than visual discovery, this is a genuinely strong option.

None of these four — Intercom, Drift, LivePerson, Yellow.ai — generate a visual, AI-styled shoppable look from a photo, and none ship pre-installed at the device or carrier level the way Glance does. They're text-and-voice conversational layers, each excellent at a specific job: in-app support, B2B pipeline, messaging-channel reach, or language coverage. Glance is a different category by design — a visual, agentic shopping experience built from a selfie, distributed at the device level before a conversation channel is even opened. For a fashion or lifestyle brand specifically trying to boost engagement and sales through visual discovery rather than text-based support or B2B qualification, that's the actual comparison that matters — not whether Glance beats these four at their own specialty, which it isn't built to do.

What Is Conversational Commerce?

Conversational commerce refers to using real-time communication tools like chatbots, messaging apps, and voice assistants to support, engage, and convert shoppers.

Core tools include:

• AI Chatbots: Automated programs that handle queries and guide purchases.
• Messaging Apps: WhatsApp, Messenger, and SMS platforms for branded customer interactions.
• Voice Assistants: Alexa, Siri, or Google Assistant enabling voice-driven shopping.
• Live Chat: Human agents supporting customer decisions in real time.
• Conversational Pop-ups: Dynamic tools triggered by user behavior on websites or apps.

Together, these tools simulate an in-store assistant experience online.

The Evolution of Conversational Commerce

Conversational commerce has rapidly evolved alongside technology and consumer expectations. Here's a quick breakdown of its key phases:

• Call Centers (Early 2000s): Shopping help came via phone—personal but slow and costly.
• Live Chat (Mid 2000s): Brands added website chat for faster, human-led support.
• Rule-Based Chatbots (2010s): Automated answers to common questions; efficient but limited personalization.
• AI Chatbots & NLP (Late 2010s): Smarter bots using natural language processing for contextual, 24/7 conversations.
• Messaging & Voice Platforms (2020s): Consumers engage through WhatsApp, Messenger, Alexa, and others—shopping became more conversational and convenient.
• Visual Conversational AI (Today): Integrating images and interactive elements into conversations to enhance personalized shopping experiences.

How Conversational Commerce Works

Conversational commerce combines user-friendly interfaces with backend intelligence to create real-time, dynamic shopping interactions.

Platforms and Channels

• Messaging apps: WhatsApp, Facebook Messenger, Instagram DMs, Telegram
• Voice assistants: Amazon Alexa, Google Assistant, Siri
• Live chat on websites and apps

Core Technologies

• AI & Natural Language Processing (NLP): Understands and responds to user input
• Chatbots: Automate common tasks like order tracking or product suggestions
• Integrations: Connect with payment gateways, CRM, inventory systems
• Recommendation engines: Suggest products based on history and context

Typical User Flow:

1. Initiate a conversation (e.g., "Hi, I need new running shoes")
2. Chatbot or assistant responds with curated options
3. User selects, pays, and receives confirmation
4. Post-purchase follow-ups for support or upselling

Why Conversational Commerce Matters Today

1. Frictionless Customer Experience

• No app downloads
• No waiting for email replies
• Real-time answers = faster decisions

2. Higher Conversion Rates

• Personalized recommendations increase click-through and purchase rates

3. Round-the-Clock Availability

• Bots provide 24/7 support, boosting global accessibility

4. Cost Efficiency for Businesses

• Reduces customer service costs by automating routine queries

5. Customer Retention & Loyalty

• Conversations create relationships. That’s more memorable than a banner ad.

Types of Conversational Commerce

1. AI-Powered Chatbots

Automated bots that handle FAQs, suggest products, and complete transactions.

2. Live Chat Support

Human representatives assist customers in real-time, often via chat windows on e-commerce sites.

3. Voice Commerce

Voice-controlled assistants like Alexa or Google Assistant guide users through product discovery and purchase.

4. Social Messaging Commerce

Shopping within apps like WhatsApp, Instagram, or Facebook Messenger.

5. Hybrid Models

Combination of AI bots and live agents—bots handle routine, humans handle complex cases.

Why Conversational Commerce Is Gaining Ground

Several factors contribute to the growing adoption of conversational commerce:

• Consumer Expectations: Modern consumers demand instant, personalized interactions. They expect brands to be available on their preferred communication channels. Forbes.
• Technological Advancements: The proliferation of smartphones and advancements in AI have made it easier for brands to implement conversational tools.
• Trust in AI: 66% of consumers say they are open to trying generative AI-powered conversational commerce — a figure that continues to climb as experiences improve. 

In 2024, the U.S. conversational commerce market was valued at approximately $3.06 billion and is projected to grow at a CAGR of 17.2%, per Market.us — a trajectory that puts the market in the low single-digit billions through 2026, not the $14.47 billion figure cited elsewhere in this piece.

Benefits of Conversational Commerce

Implementing conversational commerce offers several advantages:

• Real-Time Assistance: Immediate responses to customer inquiries enhance satisfaction and reduce decision-making time. EZ Texting+3SAP Emarsys+3Firework+3
• Hyper-Personalization: By analyzing user data, brands can offer tailored product recommendations, increasing the likelihood of purchase.
• Reduced Cart Abandonment: Proactive engagement through chat can address concerns that might otherwise lead to abandoned carts.
• Enhanced Data Collection: Conversations provide insights into customer preferences, aiding in future marketing strategies. Future Market Insights
• Cost Efficiency: Automating customer interactions can reduce operational costs while maintaining service quality.

Conversational Commerce vs. Social Commerce

While both aim to enhance the shopping experience, conversational commerce focuses on direct, personalized interactions, whereas social commerce leverages community and influencer dynamics to drive sales.

Conversational Commerce in Action: Real-World Use Cases

• Retail: Brands employ chatbots to assist customers in finding the right size and fit, reducing return rates.
• Beauty: AI-driven quizzes recommend products based on skin type and preferences, enhancing customer satisfaction.
• Electronics: Instant tech support via messaging apps helps customers troubleshoot issues, improving the post-purchase experience.
• Travel: Booking assistance through platforms like WhatsApp streamlines the reservation process, offering convenience to travelers.
• Fashion: Agentic AI apps like Glance go beyond text-based guidance — building a fully personalized, visual shopping feed from a single selfie, with a chat agent that adapts your feed in real time based on your mood, occasion, or style direction.

How Glance Powers the Next Generation of Conversational Commerce

Glance is a standalone agentic shopping app that represents what conversational commerce looks like when it evolves beyond the chat window. Instead of typing queries and reading text responses, users upload one selfie and the Glance agent gets to work — building a personal shopping feed organized into 21 purpose-driven collections, complete with 115 editorial-quality AI styled images where you are the model.

What makes this conversational is the agent layer. You can chat directly with the Glance agent — ask for looks for a specific occasion, a mood, or a vibe — and it responds not with text recommendations but with visual, shoppable looks tailored to you. The agent also works proactively, accounting for your location, current weather, trending styles, and upcoming occasions to keep your feed relevant without you needing to ask.

And it learns. Every interaction — a saved look, a skipped outfit, a chat request — refines your feed further. The same person sees a different feed across seasons or cities, because the system responds to context, not just clicks. Every look connects directly to shoppable inventory, collapsing the distance between inspiration and purchase.

This is conversational commerce made visual, agentic, and genuinely personal.

Benefits of Conversational Commerce for Brands & Businesses

• Faster Conversions: Answering buyer doubts instantly prevents drop-offs
• Customer Insights: Each chat generates data on preferences, tone, and trends
• Marketing Automation: Deliver personalized promos based on chat behavior
• Upselling & Cross-Selling: “Would you like socks to match your sneakers?”

Loyalty & Feedback Loops: Post-purchase engagement builds brand trust

Challenges in Conversational Commerce

Despite its benefits, conversational commerce faces several challenges:

• Privacy Concerns: Handling user data responsibly is paramount, especially with increasing scrutiny on data protection. More than half of consumers worry about how AI systems handle their personal data. 
• Bot Fatigue: Poorly designed chatbots can frustrate users, leading to disengagement.
• Technical Integration: Seamlessly merging conversational tools with existing systems like CRM and inventory management can be complex.
• Brand Voice Consistency: Maintaining a consistent tone across automated and human interactions is essential for brand integrity.
• Measuring ROI: Quantifying the direct impact of conversational tools on sales and customer satisfaction remains a challenge.

The Future of Conversational Commerce

1. Hyper-Personalization at Scale Agents will anticipate user needs before they are typed — drawing on past conversations, purchase history, contextual signals, and behavioral patterns.

2. Voice and Visual Shopping "Show me that jacket in blue" — voice commands paired with visual AI responses that generate shoppable looks in real time.

3. Agentic Shopping like Glance represent the direction the whole industry is heading — AI agents that do not wait to be asked, but proactively build, adapt, and refine a personalized shopping experience around each user's identity, context, and moment.

4. Real-Time Localization Offers and support tailored by region, language, time zone, and season — already live in platforms like Glance, where the same user gets a different feed in different cities.

5. Zero-UI Interfaces Gesture, voice, and emotion-based shopping experiences that remove the keyboard entirely from the purchase journey.

Conclusion: Conversations Drive Connection

Conversational commerce represents more than a technology upgrade. It is a fundamental shift in how brands build trust, guide decisions, and close sales.

The data in 2026 makes the case clearly: the market is valued at an estimated low single-digit billions in the US specifically, per Market.us, though broader global market-size claims for this category vary considerably by research firm climbing, AI-assisted shoppers convert 4x more than those who browse alone, and 91% of consumers now expect real-time brand interaction. The question is no longer whether to adopt conversational commerce — it is how fast.

Glance shows what the ceiling looks like. As a standalone agentic shopping app, it takes the core promise of conversational commerce — personalized, real-time, helpful — and makes it visual and proactive. One selfie generates a curated feed of 21 collections and 115 styled looks. A chat agent adapts your experience on demand. Context — weather, location, occasion — shapes what you see before you even ask. And every look is shoppable, instantly.

Brands that adopt conversational commerce today are not just future-ready — they are future-proof. And the brands building toward the agentic, visual layer that Glance already occupies are the ones that will define what shopping looks like next.

FAQs

1. What is conversational commerce in simple terms? 
It is when you shop by talking to — or chatting with — an AI agent or brand assistant instead of passively browsing a website. In 2026, this increasingly includes visual and agentic experiences where the AI does not just answer questions but proactively builds personalized shopping journeys for you.

2. What platforms use conversational commerce? 
WhatsApp, Messenger, Instagram DMs, voice assistants like Alexa, website chat windows, and agentic shopping apps like Glance that combine chat, visual AI, and personalized feeds into a single experience.

3. Is it safe to shop through chat apps? 
Yes, provided the brand uses secure, encrypted platforms and respects privacy regulations. Look for platforms that are transparent about how they use your data and operate on a consent-based model.

4. How do businesses benefit from conversational commerce? 
It improves engagement, reduces customer service costs, boosts sales, and enhances loyalty. Specifically, stores using conversational tools see 15–30% higher conversion rates and measurably higher customer lifetime values.

5. Can AI-powered bots fully replace human agents? 
Not entirely. A hybrid model works best — bots for routine tasks and humans for complex or sensitive support. That said, Gartner projects that agentic AI will autonomously resolve up to 80% of common customer service requests by 2029 — a significant leap already underway, though it's worth being precise that this is a forecast for where the technology is heading, not a claim about where it already stands today.

6. What is the difference between conversational commerce and social commerce? 

Conversational commerce is built around direct, one-on-one interactions — guided, transactional, and personalized. Social commerce is community and influencer-driven, focused on discovery through shared content. Many platforms now blend both, but the mechanics and intent are distinct.

7. How do different conversational commerce platforms compare for boosting customer engagement and sales?

It depends on what kind of engagement and sales a business needs. Intercom leads for in-app SaaS engagement (around 65% autonomous resolution via its Fin AI agent). Drift leads specifically for B2B pipeline generation, not consumer retail. LivePerson leads for messaging-channel commerce at carrier scale (a documented 48% CSAT lift for T-Mobile). Yellow.ai leads for multilingual, omnichannel coverage (160+ languages, Gartner Leader recognition). Glance is a different category from all four — a visual, agentic shopping experience generating a shoppable look from a selfie, distributed at the device and carrier level rather than as a downloaded app. For fashion and lifestyle brands specifically trying to drive engagement through visual discovery, that distinction — not a head-to-head feature count against these four — is the comparison that actually matters.