Conversational Commerce for BigCommerce Stores in 2026

AI transforms BigCommerce shopping with personalized conversations that drive conversions

Jul 14, 2026

5 mins

Illustration of conversational commerce on a BigCommerce store using an AI chatbot to provide personalized product recommendations, answer customer questions, and enhance the ecommerce shopping experience

AI is transforming BigCommerce stores through conversational shopping. AI chatbots and sales assistants now help customers discover products, get instant answers, and enjoy more personalized shopping experiences. In this article, we'll explore how conversational commerce is shaping ecommerce in 2026 and why it matters for BigCommerce brands.


The ecommerce experience is changing rapidly.

For years, online shopping relied heavily on:

  • Menus
  • Filters
  • Category pages
  • Keyword search
  • Static product listings

Customers were expected to navigate websites manually and find products themselves.

But modern shoppers increasingly expect something different.

They want:

  • Instant answers
  • Personalised recommendations
  • Conversational interactions
  • Guided shopping experiences
  • Faster decision-making

This is one of the biggest reasons conversational commerce is growing so quickly.

For BigCommerce stores, conversational AI is becoming a powerful way to improve:

  • Customer experience
  • Conversion rates
  • Product discovery
  • Customer engagement

The future of ecommerce is becoming increasingly conversational.

What Is Conversational Commerce?

Conversational commerce refers to shopping experiences powered by conversational interactions.

Instead of relying entirely on traditional ecommerce navigation, customers interact with businesses through:

  • AI chatbots
  • AI sales assistants
  • Messaging systems
  • Conversational shopping tools
  • Natural language interactions

Customers can ask questions such as:

“Which running shoes are best for beginners?”

“I need a gift for a 10-year-old.”

“What jacket is best for winter hiking?”

“Which skincare products suit dry skin?”

AI systems can then:

  • Understand intent
  • Ask follow-up questions
  • Narrow product recommendations
  • Explain differences between products
  • Guide customers towards purchases

This creates a far more natural shopping experience.

Why Conversational Commerce Is Growing

Consumer behaviour has changed significantly over the last few years.

People are increasingly comfortable interacting with:

  • AI assistants
  • Messaging apps
  • Voice technology
  • Conversational search systems
  • Tools like ChatGPT

As a result, ecommerce expectations are changing too.

Customers increasingly expect websites to:

  • Communicate naturally
  • Understand intent
  • Provide personalised assistance
  • Simplify shopping journeys

Traditional ecommerce experiences often feel slow and fragmented compared to conversational interactions.

BigCommerce Stores Are Adopting AI Shopping Experiences

BigCommerce brands are increasingly using conversational AI to:

  • Improve customer support
  • Personalise shopping experiences
  • Reduce cart abandonment
  • Improve product discovery
  • Increase conversions

Modern AI assistants are helping ecommerce businesses create shopping journeys that feel closer to speaking with a knowledgeable in-store sales advisor.

Conversational Product Discovery Improves Customer Experience

One of the biggest problems in ecommerce is helping customers find the right products quickly.

Traditional product discovery often depends on:

  • Keyword search
  • Filters
  • Category navigation

But many customers:

  • Are unsure what they need
  • Do not know correct product terminology
  • Feel overwhelmed by too many options

Conversational commerce solves this problem by allowing customers to describe what they need naturally.

For example: “I need a lightweight waterproof jacket for travelling.”

The AI assistant can then:

  • Interpret customer intent
  • Ask follow-up questions
  • Recommend suitable products
  • Explain product differences

This creates a more intuitive and personalised experience.

Conversational AI Helps Increase Ecommerce Conversions

Many ecommerce customers abandon purchases because they encounter friction during the buying process.

Common issues include:

  • Unanswered questions
  • Product uncertainty
  • Lack of confidence
  • Complicated navigation
  • Too many choices

Conversational AI reduces this friction by:

  • Providing instant answers
  • Guiding customers naturally
  • Simplifying decision making
  • Offering personalised recommendations

This helps customers move from browsing to purchasing more confidently.

AI Sales Assistants Are Changing Ecommerce

One of the biggest ecommerce shifts happening in 2026 is the rise of AI sales assistants.

Traditional chatbots focused mainly on:

  • Answering FAQs
  • Basic customer support
  • Simple automation

Modern AI assistants go much further.

They can:

  • Recommend products intelligently
  • Personalise shopping journeys
  • Assist during checkout
  • Answer buying objections
  • Identify customer intent
  • Guide customers towards conversions

The line between customer support and sales assistance is rapidly disappearing.

Conversational Commerce Helps Reduce Cart Abandonment

Cart abandonment remains one of the biggest ecommerce challenges.

Customers frequently abandon purchases because of:

  • Delivery uncertainty
  • Sizing concerns
  • Unanswered questions
  • Lack of reassurance
  • Product confusion

Conversational AI helps reduce abandonment by:

  • Answering objections instantly
  • Clarifying delivery information
  • Recommending suitable alternatives
  • Guiding customers during checkout

This helps improve customer confidence and conversion rates.

AI Chatbots Create More Personalised Shopping Experiences

Personalisation is becoming increasingly important in ecommerce.

Customers are more likely to engage with brands that:

  • Understand their preferences
  • Provide relevant recommendations
  • Simplify shopping journeys
  • Personalise interactions

Conversational AI helps deliver this through:

  • Contextual conversations
  • Personalised product recommendations
  • Adaptive shopping guidance
  • Intelligent customer interactions

This creates stronger customer engagement and improved shopping experiences.

Conversational Commerce Improves Mobile Ecommerce

Mobile ecommerce continues to grow rapidly, but mobile shopping often creates additional friction because:

  • Navigation is harder
  • Filters are less convenient
  • Product discovery takes longer

Conversational AI simplifies mobile shopping by allowing customers to ask questions naturally instead of navigating complex menus manually.

This helps improve:

  • Customer engagement
  • Mobile conversion rates
  • Shopping convenience

AI Customer Support Improves Ecommerce Efficiency

Conversational AI also helps BigCommerce stores operate more efficiently.

AI-powered assistants can automate:

  • Order tracking
  • Delivery questions
  • Return policy queries
  • FAQ support
  • Product recommendations

This reduces operational pressure on customer support teams while improving response times.

Human agents can then focus on:

  • Escalations
  • Complex customer issues
  • Relationship management

Multilingual AI Supports Global Ecommerce Growth

International ecommerce expansion creates support challenges across multiple regions and languages.

Conversational AI systems can:

  • Detect customer languages automatically
  • Communicate naturally across regions
  • Provide 24/7 support globally

This helps BigCommerce brands scale internationally while maintaining strong customer experiences.

Conversational Commerce Creates Better Customer Engagement

Modern shoppers increasingly expect ecommerce websites to feel:

  • Interactive
  • Responsive
  • Personalised
  • Conversational

Static ecommerce experiences often struggle to meet these expectations.

Conversational commerce creates more engaging customer journeys by allowing shoppers to interact naturally with AI-powered assistants throughout the buying process.

What BigCommerce Brands Should Prioritise in 2026

As conversational commerce continues to evolve, BigCommerce brands should focus on AI platforms that provide:

Conversational Product Discovery

Customers should be able to discover products naturally through conversation.

Intelligent Recommendations

The AI should understand products and customer intent deeply.

BigCommerce Integration

Integration with products, inventory, and orders is essential.

Human Handover

Businesses should retain the ability to join conversations when needed.

Real-Time Support

Customers increasingly expect immediate assistance throughout the shopping journey.

Ecommerce Analytics

Understanding customer behaviour and engagement trends is critical.

Conversational Commerce Is Becoming the Future of Ecommerce

The ecommerce industry is moving rapidly towards:

  • Conversational shopping
  • AI-powered product discovery
  • Intelligent customer assistance
  • Personalised ecommerce journeys

Customers increasingly expect websites to:

  • Guide them naturally
  • Understand their needs
  • Answer questions instantly
  • Simplify buying decisions

Conversational commerce is quickly becoming one of the most important shifts in modern ecommerce.

Final Thoughts

Conversational commerce is transforming how customers interact with BigCommerce stores.

AI-powered shopping assistants help ecommerce brands:

  • Improve product discovery
  • Personalise shopping journeys
  • Reduce cart abandonment
  • Increase conversions
  • Strengthen customer engagement
  • Automate support more efficiently

As customer expectations continue to evolve in 2026, conversational shopping experiences are becoming less of a future trend and more of a standard ecommerce expectation.

For BigCommerce brands looking to improve both customer experience and sales performance, conversational AI is becoming one of the most valuable technologies shaping the future of ecommerce.

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