10 conversational commerce examples driving real results for enterprise ecommerce brands

conversational commerce examples
In this article

Today’s shoppers don’t want to click through dropdowns or scroll past hundreds of SKUs. They want answers, not options.

This is what conversational commerce delivers.

With Zoovu, that means a single platform powering everything from AI-driven search to guided selling, product finders, and visual configurators—all designed to meet customers wherever they are, across mobile, desktop, chat, and even retail partner sites.

It’s not just about offering support—it’s about providing the right kind of support, in real time, through the tools that simplify complexity and drive faster, more confident decisions.

And while many brands approach this trend in silos—with one tool for site search, another for guided selling, and yet another for product configuration—Zoovu brings it all together.

Zoovu’s AI-powered conversational commerce platform replaces rigid search bars and isolated chatbots with a unified experience. It powers everything from:

  • Conversational search that understands intent and returns relevant results
  • Digital shopping assistants that guide customers through complex decisions
  • Product finders and configurators that personalize the entire journey from need to purchase

All from a single, flexible platform—no patchwork of apps required.

Why it matters

This isn't about adding a chatbot to your homepage. It's about enabling natural, two-way conversations that simulate the help of a knowledgeable in-store associate—at scale, 24/7.

In this article, we explore 10 examples of conversational commerce in action, featuring brands like Microsoft, Canon, eBay, and Bosch. You’ll see how Zoovu enables a seamless, personalized experience—from search and discovery to configuration and checkout.

What is conversational commerce?

Conversational commerce is the practice of using AI-driven tools—like chat interfaces, virtual shopping assistants, and embedded product finders—to guide customers through every step of their buying journey via natural, human-like dialogue.

Unlike traditional ecommerce experiences that rely on static filters or keyword searches, conversational commerce engages users in real-time, understands their intent, and delivers personalized guidance at scale.

This approach powers more than just search. It includes:

  • Conversational search that interprets complex queries and delivers relevant product results
  • Guided selling experiences that ask customers questions to narrow options and build confidence
  • Visual product configurators that adapt based on individual preferences and use cases
  • Shopping assistants embedded across your website, PDPs, and directly on search result pages

The result?

  • Personalized product recommendations tailored to individual needs
  • Real-time assistance that reduces friction and lowers cart abandonment
  • A seamless, unified shopping experience across all conversational channels—from your ecommerce site to in-store kiosks

When built correctly, conversational commerce mimics the expertise of a skilled in-store associate—without limitations of time, location, or scale. It delivers not just convenience, but confidence—helping customers feel heard, understood, and ready to buy.

10 conversational search examples from Zoovu in action

1. Microsoft – Digital assistant for Surface devices

Microsoft digital assistant

Microsoft partnered with Zoovu to launch a digital assistant that guides users to the right Surface device.

  • Customers answer questions about how and where they plan to use the laptop
  • AI matches them to best-fit models, highlighting why each product is recommended
  • A personalized description is dynamically generated using contextual product data

Results:

  • 25% higher conversion rates
  • 20% increase in customer engagement
  • Syndicated across 100+ retail partners

This assistant delivers a natural conversation that supports customers through their entire customer journey, making complex tech purchases feel simple.

2. Canon – Lens Finder

Canon lens finder

Canon’s conversational lens finder assistant helps users pick the perfect lens based on:

  • Camera compatibility
  • Subject matter (e.g., sports, portraits, landscapes)
  • User level and preferences

It uses conversational AI and dynamic filters to provide personalized product recommendations, while reducing support tickets and customer inquiries.

Results:

  • 53% increase in conversions
  • 14% boost in revenue
  • Launch across 52 countries in weeks using Zoovu's scalable platform

We needed a solution which presented the entire range Canon produced within a category but could accurately lead a customer to the right choice. Zoovu helps us do that.

3. GE HealthCare – Ultrasound Configuration Assistant

Medical affairs smart assistant

Healthcare customers often face complex conversations when selecting equipment. GE HealthCare implemented Zoovu’s assistant to simplify the process.

  • Buyers are guided through configuration flows
  • A BOM (Bill of Materials) is automatically generated
  • They receive real-time pricing, product visuals, and personalized quotes

Impact:

  • 80% less time spent searching and evaluating
  • Faster sales cycles with fewer human agents required
  • Enhanced customer satisfaction and regulatory compliance

4. Noble Knight Games – Conversational search for board game collectors

Noble Knight Games 5 person strategy games search

Noble Knight Games stands out in the tabletop and collector’s market with one major advantage: it doesn’t rely on traditional keyword search.

Instead, it uses Zoovu’s AI-powered conversational search to understand what customers actually want—even when their query is vague or subjective.

For example: When a shopper types in “5-person strategy games,” the system doesn’t return a frustrating “no results found.” Instead, it understands the shopper is searching for board games with a 5-player minimum. Using Zoovu’s ontology-enhanced product data, the platform identifies games with matching player counts and themes—like Nothing Personal and its expansions.

Unlike basic search engines that rely on exact keyword matches, Noble Knight’s conversational assistant:

  • Interprets natural language queries
  • Maintains context across the customer journey
  • Dynamically applies filters like player count, game complexity, and genre

This responsive, needs-based shopping experience helps users discover titles they might’ve missed and keeps them engaged longer.

The result?

Fewer dead-ends, smarter product discovery, and a better online shopping experience for collectors and casual players alike. It’s a powerful example of conversational commerce technology driving relevance, satisfaction, and conversions.

5. MAPAL – Precision Tool Selector

MAPAL solution expert

MAPAL, a global manufacturer of machining tools, deployed Zoovu to power its guided selling experience.

Conversational interface helps users choose the right tool by asking about:

  • Material type
  • Cutting requirements
  • Machine specifications

Delivers precise recommendations and reduces errors in configuration.

MAPAL proves how B2B ecommerce can benefit from AI-powered conversational commerce, even in technical sales environments.

6. Bosch – Accessory Advisor

Bosch Accessory Advisor

With over 25 global markets, Bosch needed a way to simplify its accessory buying journey.

Using Zoovu, they launched the Accessory Advisor, which:

  • Engages in conversational flow to understand what tool the user owns
  • Recommends compatible accessories
  • Reduces the risk of incompatible purchases

Results:

  • 98% increase in engagement
  • Experience syndicated to 36+ retailer sites
  • A dramatic drop in shopping cart abandonment rates

7. KitchenAid – Visual product configurator

KitchenAid configurator

KitchenAid uses Zoovu’s visual product configurator to help customers customize stand mixers.

Customers choose:

  • Mixer color
  • Bowl style
  • Attachments

Dynamic pricing and real-time visuals make the experience interactive and intuitive.

This is conversational technology blended with product configuration, creating a personal shopping assistant that feels bespoke.

8. Trek – Saddle Finder

Trek Saddle Finder

Trek’s Bike Finder is a conversational tool that supports informed decisions for bike buyers.

The original sin of B2B ecommerce and how companies can fix it by embracing true product discovery

By asking questions around:

  • Terrain
  • Riding frequency
  • Fit and posture

The system delivers personalized product recommendations aligned with customer preferences and style advice.

This type of conversational experience reduces purchase decisions paralysis and supports customer loyalty long after the first interaction.

9. eBay Germany – Personalized discovery at scale for consumer electronics

eBay Laptop Buyers Guide

When shopping for laptops, TVs, or smartphones, eBay.de customers used to face a common ecommerce frustration: too many listings, not enough clarity.

To address this, eBay Germany partnered with Zoovu to power a conversational shopping experience that replaces keyword overload with guided decision-making. Powered by Zoovu’s AI-driven discovery platform, the digital assistant now:

  • Asks customers contextual questions
  • Understands their needs and preferences
  • Delivers tailored product recommendations—whether they’re browsing new, used, or refurbished items

Instead of scrolling through hundreds of listings, shoppers receive smart, guided product advice that reflects their unique requirements.

Our goal is to simplify product research and support the decision-making process. By offering relevant product suggestions and tailored advice, we help customers find the perfect product and enable a positive shopping experience.

—Tina Endres, Category Manager for Consumer Electronics at eBay.de.

But the real magic happens behind the scenes.

Using Zoovu’s semantic data enrichment, eBay.de standardizes, cleans, and contextualizes product data from thousands of sellers—saving countless hours of manual work. The assistant leverages this enriched dataset to ensure:

  • Consistent presentation of key product attributes
  • Accurate classification of quality categories like “new,” “used,” and “refurbished”
  • Better support for complex queries like “smartphone for outdoor photography” or “TV for gaming”

This isn’t just a search tool—it’s an embedded conversational commerce solution that enhances both the user experience and the platform’s conversion rates.

Critically, Zoovu’s no-code builder empowers eBay.de to maintain full control over assistant design and interaction logic—no developers required. In just a few weeks, the eBay team launched a responsive, user-centric experience that meets shoppers where they are.

Ecommerce isn’t hard to build anymore—it’s hard to personalize. By integrating Zoovu, we help our customers move from confusion to confidence.

10. Dräger – Firefighter helmet configurator

Dräger helmet selector

In a highly regulated industry, Dräger turned to Zoovu for a self-service configuration experience.

  • Used to customize safety helmets for specific environments
  • Ensures compliance and availability
  • Connected to SAP CPQ for automatic order processing

The configurator is a perfect example of conversational commerce tools delivering personalized service while reducing dependency on human agents.

With Zoovu, we have chosen a solution that has already proven itself globally many times over, is scalable and secure without turning it into a huge IT project. Zoovu offers a powerful platform that equips Dräger for the future challenges of digitalization.

Why conversational commerce is the future

Traditional ecommerce search is built for keywords. But today’s customers want real-time, guided experiences that feel human.

A well-built conversational commerce app provides:

  • Quick responses to common queries
  • Personalized product discovery based on customer behavior and individual preferences
  • Full integration with your ecommerce tech stack, including PIM, CRM, CMS, and ERP

It reduces friction in the buying process, helps customers make informed decisions, and builds loyal customers through engaging experiences.

With Zoovu’s Conversational Commerce Platform, your team can launch these solutions without code, across any channel—web, mobile, in-store, or social commerce.

Build your conversational search experience

Whether you’re a retailer, manufacturer, or B2B seller, conversational commerce offers a path to more relevant product recommendations, fewer abandoned shopping carts, and happier customers.

  • Leverage generative AI and language models
  • Deliver seamless shopping across conversational commerce channels
  • Transform your search bar into a sales associate

Want to see it live?

Book a custom demo of conversational search.

Discover how Zoovu can deliver AI-powered conversational commerce at scale—across your entire product catalog, your preferred channels, and your entire customer journey.

Better data, experiences, and intelligence drive better outcomes every time.

Book a demo