Plavno developed an AI-powered voice assistant for a US beauty and wellness retailer to handle phone-based order support, product guidance, and post-purchase customer service at scale.
Overview
The client was a direct-to-consumer beauty and wellness retailer serving customers across the United States through its online store, SMS campaigns, and loyalty programs. The business received a high volume of inbound calls related to order status, subscription changes, returns, delivery timing, and product selection. Plavno implemented an AI voice commerce assistant that reduced repetitive support load, improved customer access to answers, and helped route higher-value calls to human agents only when necessary.
Lower repetitive inbound call load for the customer service team
Faster handling of order status, subscription, and shipping-related calls
Better phone-based support for product selection and reordering
Improved support coverage during campaign spikes and seasonal promotions
Stronger operational foundation for scalable voice-led customer service

The retailer's support organization was under pressure from growing order volume and repeat customer demand.
Common challenges included:
Too many repetitive calls about order tracking, returns, and delivery timing
High inbound volume after SMS campaigns, seasonal launches, and paid media pushes
Limited phone support capacity during evenings, weekends, and launch periods
Too much time spent by human agents on simple requests
Missed opportunities to guide customers toward the right product or reorder path
The business wanted to improve customer experience without scaling support headcount linearly with revenue growth.

The platform needed to:
Answer common customer calls naturally without relying on rigid IVR menus
Integrate with Shopify order data, shipping status, and subscription workflows
Support product lookup and guided shopping conversations
Escalate refund-sensitive, complaint-driven, or edge-case scenarios to humans
Maintain a calm, brand-appropriate tone for a beauty and wellness audience
Remain reliable during peak promotional periods
There were also important constraints:
Customer support workflows touched multiple systems, including ecommerce, CRM, shipping, and subscription tools
The voice assistant had to avoid unsupported policy promises
The product guidance layer had to be helpful without becoming overly complex
Support automation had to feel premium enough for a brand-led DTC experience

Solution
A single voice-enabled platform that automates order lookup, subscription management, returns, product guidance, and escalates complex calls to live agents with full conversation context.
AI voice agent for inbound ecommerce support
Shopify-connected order and status lookup
Subscription change and reorder assistance
Shipping, return, and delivery guidance
Voice-based product selection support
Live-agent escalation for sensitive or complex cases
Call analytics for support and commerce teams
Receive the Customer Call: The AI assistant answers incoming calls and identifies whether the customer needs order support, return guidance, subscription help, or shopping assistance.
Retrieve Commerce Context: The platform pulls customer, order, and shipping data from connected systems.
Resolve Standard Requests: The assistant answers routine questions and guides the caller to the next step.
Escalate When Necessary: Refund disputes, damaged shipment claims, or emotionally sensitive calls are routed to human support with structured context.
Supports high-volume ecommerce customer service environments
Suitable for DTC brands with repeat purchase and subscription models
Handles inbound demand around launches, campaigns, and seasonal spikes
Works across service and commerce-oriented phone scenarios
Scalable for multi-brand or multi-store retail growth
Architecture Overview
Voice Interaction Layer: Natural-language phone experience for customer support and commerce guidance.
Commerce Integration Layer: Connections to Shopify, subscription tooling, shipping APIs, and customer CRM data.
Conversation Intelligence Layer: Intent detection, support-flow logic, escalation rules, and structured call outcomes.
Support Operations Layer: Visibility into unresolved issues, transfer rates, and call-category performance.
Analytics Layer: Dashboards for call volume, containment rate, support deflection, and recurring issue patterns.
Infrastructure Layer: Scalable cloud voice orchestration for always-on support coverage.

Value
Delivering faster customer answers, clearer voice guidance, and more scalable ecommerce phone support
The assistant resolves common service calls without needing a live agent every time.
Customers are not forced through rigid button-based phone menus.
The platform supports guided voice assistance for product questions and reorders.
The business can absorb more call volume without equivalent growth in support headcount.
Benchmarks
Built to support ecommerce campaign spikes, subscription workflows, and repeated customer phone interactions
Supports high inbound call volume during promotions and launches.
Responses are grounded in real order, shipping, and product data.
Complex cases move to human teams with less friction.
The system extends support availability beyond core staffing windows.
Data Protection
Enterprise-grade protection for customer data, order information, and support workflows
Support and operations teams see only the call and workflow data relevant to them.
Order and customer information is handled through protected integrations and controlled workflows.
Internal teams maintain visibility into how automated support calls are handled and escalated.
Innovative Experience
AI voice assistants for ecommerce support, order operations, and phone-based shopping guidance
Delivery Crew
High-performing developers for growing companies

Eugene Katovich
Sales Manager
Plavno builds voice-driven commerce assistants that help online brands automate repetitive calls, improve service coverage, and scale customer operations.
Talk to an ExpertCompetitive Ability
Demonstrating how Plavno transforms repetitive ecommerce calls into scalable voice-led support and shopping workflows
Capture the Caller’s Intent
Identify whether the customer needs order help, subscription support, returns guidance, or product assistance.
Retrieve Relevant Commerce Data
Pull order, customer, shipping, and catalog information from connected systems.
Resolve or Guide the Customer
Answer standard questions or support the caller through a guided product or reorder journey.
Escalate with Context
Transfer unresolved cases to live agents with structured call summaries and customer context.
Automated phone call handling
Shopify and shipping integrations
Subscription support workflows
Live-agent handoff with context
Peak campaign readiness
High-volume customer support coverage
Repeat purchase and subscription support
Scalable voice infrastructure
Intent detection for order, shipping, and shopping calls
Brand-aware voice flows
Product-aware conversational guidance
Continuous improvement from call pattern analysis
Measurable outcomes delivered by an AI voice commerce assistant
Customers get answers more quickly for common ecommerce questions.
The brand improves phone support responsiveness during high-demand periods.
The platform creates a scalable base for future phone-based service and shopping journeys.
Support teams handle fewer routine order and shipping calls manually.
Automating routine inquiries reduces the need for scaled live agent teams, lowering overall support costs while maintaining high service quality during peak seasons.
Tools We Used
Project Estimator
The estimated time to launch the product
Clear vision of functionality you need
15% discount on your first sprint

Frequently Asked Questions
Find answers to your common concerns
Yes. It supports subscription-related call flows, including basic changes and guided next steps.
Yes. The solution is designed to work with ecommerce, order, and logistics data sources.
Yes. It supports guided product lookup and recommendation-style voice flows within defined rules.
Yes. Sensitive or unresolved issues are escalated with structured call context.
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Vitaly Kovalev
Sales Manager
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