Case Study · AI Shopping Assistant

Lyzr Helped an Eyewear Brand Turn Online Shopping Into a Guided Buying Experience

      Personalized product discovery
      Conversational commerce workflows
      Omnichannel customer support
    

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About the company

A leading direct-to-consumer eyewear brand wanted to make online shopping feel more conversational and personalized. Instead of relying on static filters and traditional ecommerce journeys, the company envisioned an AI-driven experience that could guide customers the way an in-store associate would. The goal was to build a recommendation and support system capable of handling personalized discovery, checkout assistance, and post-purchase support at scale.

The challenge

The problem statement

Online shopping lacked guidance

Customers had too many choices but very little guidance. In eyewear, where comfort and style matter, choosing the right product often became overwhelming.

Recommendations felt transactional

Traditional recommendation engines relied on filters and browsing history, making the experience feel rigid instead of conversational.

Customer journeys were disconnected

Discovery, checkout, and support operated separately, forcing customers to repeat information across multiple touchpoints.

Support requests kept increasing

Tracking issues, damaged products, and delivery-related queries created growing operational overhead across channels.

The approach

How Lyzr solved it

Lyzr implemented an agent-driven inbound SDR system that combined structured knowledge, automated decisioning, and human-in-the-loop controls to manage inbound engagement at scale.

Built a conversational shopping agent

Lyzr created an AI recommendation experience that behaved like an in-store shopping associate, helping customers discover products through natural conversations.

Unified discovery and support

The implementation connected discovery, checkout, and support into one continuous conversational workflow.

Enabled omnichannel automation

AI-driven support was deployed across web, voice, SMS, and email, automating repetitive queries while escalating complex cases.

Provided scalable infrastructure

Lyzr enabled the company to handle large-scale customer interactions with enterprise-grade AI infrastructure and flexible workflow management.

Results

The outcome

More personalized shopping

Customers could discover products through guided conversations instead of static ecommerce flows.

Reduced customer friction

Connecting recommendations, checkout, and support created a smoother end-to-end buying experience.

Faster support resolution

The AI agent automated repetitive support queries while routing complex cases to human teams with full context.

Scalable customer engagement

The company established a scalable AI layer capable of supporting high-volume customer interactions reliably.

Security

How Lyzr handled security

Enterprise-grade compliance

Enterprise-grade compliance Lyzr Agent Platform is SOC2, GDPR, and ISO 27001 compliant for secure enterprise AI deployments.

Secure data handling

Customer data remains within enterprise-controlled cloud environments for stronger governance and privacy.

Reliable AI responses

Lyzr’s reflection framework helps reduce hallucinations and improve response reliability.

Lyzr Helped an Eyewear Brand Turn Online Shopping Into a Guided Buying Experience