AI Voice Agents for Retail

Voice AI for inbound and outbound retail calls that answer customer inquiries, check store information, support order workflows, update CRM records, and escalate complex conversations with full context with data driven insights - so that your sales teams are optimising operations and delivering customer satisfaction.

Pfizer
Cisco
Splunk
Glencore
vmware
Honeywell
Honeywell
Pfizer
Cisco
Splunk
Glencore
vmware
Honeywell
Honeywell
Pfizer
Cisco
Splunk
Glencore
vmware
Honeywell
Honeywell
Pfizer
Cisco
Splunk
Glencore
vmware
Honeywell
Honeywell

AI Agents Powering Real Conversations

Trusted by 1,000+ teams of all sizes across healthcare, finance, retail, real estate, customer support, and other industries.

20 – 40%

fewer

routine calls

20 – 50%

routine

call containment

30%

missed-calls

reduction

AI Phone Calls for Retail Workflows

Listen to demo phone calls across the retail workflows your team handles most often from customer natural conversations to store support, order updates, data driven insights, and human handoff without losing context

Store Information and Product Inquiry Customer Support

Answer customer calls about store locations, business hours, product availability, order status, return policies, and ongoing promotions without increasing wait times. The best AI voice agents can use approved retail context, customer data, and real-time data from existing systems to respond clearly, then route complex queries to human agents when needed.

Answer inbound calls about store locations, hours, product details, and policy questions
• Use natural language processing and speech recognition to understand customer inquiries
• Pull approved product, order, or store information from connected systems
• Reduce repetitive tasks for customer service AI agents during high call volumes
• Route sensitive, complex, or account-specific questions to human agents

Low-latency Calls that Feel Natural

Order Updates, Returns, Post-Purchase Support & Inventory Management

Help customers get quick answers after they buy. Murf can support natural conversation calls around order tracking, delivery status, returns, exchanges, refunds, and post-purchase questions, helping retail teams improve customer satisfaction without adding more manual tasks for support teams.

• Answer customer calls about order status, shipping timelines, and return steps
• Track and handle inventory in real time and automatically trigger inventory ordering and stock control.
• Update CRM records or support tickets after each interaction
• Capture call outcomes, customer preferences, and next-step requirements
• Escalate exceptions, complaints, or sensitive data requests to human agents
• Maintain consistent service quality across routine calls and peak seasons

Measure Every Conversation and Improve Every Workflow

Personalised Follow-Up and Sales Calls To Lower Costs

Use outbound calls to reconnect with customers after abandoned inquiries, store visits, product interest, or campaign responses. The voice AI agent can qualify leads, capture customer preferences, update lead status, and trigger personalised follow-up so sales teams and sales managers can focus on high-value customer interactions.


Make outbound calls, cold calls, callbacks, and sales inquiries
• Qualify leads based on purchase intent, product interest, budget, and timeline
Capture customer preferences and update CRM records after each call
• Route hot leads or high-intent customers to the sales team
• Support batch calling while keeping full control over scripts, tone, and escalation rules

Design Conversations that Match How Your Business Actually Works

High-Volume Call Routing and Peak Season Support & Wait Time Reduction

Handle surges in call volumes during sales events, holidays, product launches, delivery delays, and store promotions. Murf’s retail AI agents can manage concurrent calls, reduce calls, answer routine questions, and route callers based on intent, urgency, and customer journey stage.

• Manage concurrent calls without increasing wait times
• Route calls by intent, location, issue type, or customer profile
• Capture call data and generate summaries for follow-up tasks
• Support human-like conversations even in real-world scenarios with background noise
• Escalate high-risk, sensitive, or complex conversations for human intervention

Connect Every Call to Your Business Context

AI Phone Calls for Various Use Cases

Listen to our demo phone calls across the workflows our customers run the most.

Appointment Scheduler
00:00/01:00
Customer Service
00:00/01:00
Legal Services
00:00/01:00

End-to-End Voice AI Workflow

Smart Call Routing

Route calls by intent, urgency, or context wherever human intervention is required. Use AI for structured, repeatable conversations - and seamlessly escalate complex, open-ended, or emotionally sensitive situations through human agent handoffs.

Persona & Tone Control

Set how each agents sounds across different moments - friendly, calm, confident, or careful. Use Murf's AI voice cloning capabilities and optimize your own brand voice to keep every interaction consistent and recognizable. Switch between multiple languages in the same sentence.

Works With Your Stack

Connect Murf to your existing tools via APIs and webhooks. Bring your own LLM, integrate with your CRM, dialer, and communication tools, and orchestrate workflows across systems to match how your business operates.

Contextual Awareness

"Find the perfect voice for every use case." Choose from 200+ natural, studio‑quality voices across accents.

Context-Aware Conversations

Ground conversations in your knowledge base, policies, and customer data. Support 35+ languages while handling structured workflows reliably - and recognize when conversations go beyond defined paths and require human judgment.

Real-Time Function Calling

Pull customer data, update records, book appointments, process payments, transfer calls - all triggered mid-conversation through Murf's function calling layer.

What are Murf's Voice Agents?

Traditional IVR IVA (intent-based) Chatbot AI voice agent
How it understands callers Keypad presses + fixed prompts Pre-mapped intents Text only Natural speech, any topic
Conversation style Rigid menu tree Limited Q&A Text exchange Free-form, multi-turn
Handles edge cases No Sometimes No Yes
Can take actions mid-call Routing only Limited No (separate workflow) CRM updates, bookings, payments
Sounds like a human No No N/A Yes
Setup time Weeks Months Days Hours to days

Integrations

Murf is built to fit into your existing workflow. Our AI caller connects to all popular CRMs, major telephony providers, contact center,
helpdesk, calendar, payment systems, and internal systems through native integrations and REST APIs.
CRM
Pull caller context from Salesforce, HubSpot, Zoho, or Pipedrive in real time so your AI receptionist greets returning customers by name and routes them based on account history.
Telephony
Plug into Twilio, Vonage, or your existing SIP trunk to route inbound and outbound calls through your AI receptionist without changing your phone number or carrier.
Calendars
Connect Google Calendar, Outlook, and Calendly so the AI receptionist checks availability live, books appointments, and handles reschedules without a human in the loop.
Automation
Trigger workflows in Zapier, Make, or n8n the moment a call ends — log the lead, notify the team, send the follow-up, update the CRM, all without writing code.
Bring your LLM
Run your AI receptionist on OpenAI, Anthropic, Gemini, or your own fine-tuned model. Swap providers anytime to balance cost, latency, and quality on your terms.
REST APIs and SDKs
Build custom integrations on top of Murf with documented REST APIs and SDKs for Python, Node, and Go. If it has an endpoint, your receptionist can call it.

One Platform. Every Customer Channel.

Call

Call

Inbound/outbound voice calls

Chat

Chat

Website or app live chat

Message

Message

SMS & WhatsApp

API/Email

API / Email

Trigger agents via email

Built for Developers. Simplified for Operators.

Use Murf’s APIs and SDKs to connect your conversational ai agent to the systems, data, and workflows your business runs on.
Operators can refine prompts, tone, escalation rules, and reporting without rebuilding the entire setup.

Powerful SDK

Create agents, handle inbound calls, trigger outbound calls, manage voice settings, fetch transcripts, and connect workflows through developer-friendly APIs.

Integrate with Native Stack

Use the model stack your team prefers and connect it with Murf’s voice and call experience.

Low-latency Orchestration

Keep speech recognition, reasoning, and voice output moving fast enough for live conversations.

Knowledge Grounding

Connect approved documents, FAQs, policies, help center content, and internal knowledge so agents answer with the right context.

Built for Developers. Simplified for Operators.

Enterprise-Ready AI Voice Agents for High Call
Volume Teams

Murf gives teams complete control to deploy AI voice agents at scale - with data protection, access controls, auditability, and
flexible deployment options for complex business environments.

Stringent Access Control

Two-factor authentication, role-based access, and regular audits secure enterprise data. We ensure consistent protection across all access points.

Advanced Data Protection

End-to-end encryption protects data in transit and at rest. TLS, HTTPS, and physical layer security ensure complete network protection.

Security and Compliance

SOC 2, ISO 27001, GDPR and HIPAA compliance drive strong data protection.Our framework enables secure, private content creation.

Not Just a Template. Purpose-built Agents
that Sound Human.

Customize every detail - from conversation flow to responses and actions.
Built to match your business, end to end.

FAQs

For any further questions,

send us a message at support@murf.ai

What are Retail AI Agents? What are the best AI Voice Agents for Retail?

AI voice agents like Murf AI are conversational AI assistants that handle voice calls across customer service, sales, store support, order updates, and follow-up workflows. They use artificial intelligence, speech recognition, natural language processing, customer data, and approved business context to support human-like conversations while escalating complex issues to humans.

What are the different types of AI agents?

For various business outcomes, AI voice agent have different types - they can be classified as chatbots, virtual assistants, AI powered personal shoppers, AI voice agents, and even merchandising agents. Each of these retail AI agents provide a variety of valuable insights. For example, chatbots and virtual assistants help with online customer experience interactions using generative AI.

How can an AI voice agent improve customer experience?

A retail AI voice agent can answer routine inquiries, reduce wait times, handle a live call, route calls faster, and keep service quality consistent during high call volumes. This improves the customer journey by helping shoppers get answers without waiting for customer service agents to become available.

What retail workflows can Murf’s voice agents automate in real world performance?

The best AI voice agents such as Murf can automate calls for store information, product inquiries, order updates, returns, appointment scheduling and more. These virtual assistants are best used for repetitive tasks and routine tasks, while humans handle sensitive, complex, or high-value conversations.

Can AI voice agents integrate with retail CRMs and existing systems?

Yes. AI voice agents integrate with CRMs, telephony systems, calendars, support tools, automation platforms, product databases, and internal systems through APIs and workflow connections. This helps retail teams update CRM records, capture call outcomes, trigger follow-up tasks, and keep customer interactions connected across channels.

Can AI voice agents help retail sales teams qualify leads?

Yes. Murf can support sales calls and outbound follow-up by asking approved questions about customer preferences, product interest, purchase timeline, budget, and intent. The AI voice agent can qualify leads, update lead status, and route hot leads to sales teams so human agents focus on conversations more likely to convert.

How does Murf handle data privacy and sensitive customer data?

Murf is built for enterprise deployments with access controls, encryption, compliance-focused security practices, and configurable workflows. For sensitive data, retailers can define what the AI voice agent should collect, what it should avoid, and when the conversation should move to human intervention.

Will AI voice agents replace customer service agents in retail?

No. AI voice agents are best used to reduce repetitive manual tasks, automate routine calls, manage agent performance, and support operational efficiency. Customer service agents and human teams should still handle complex queries, sensitive issues, complaints, escalations, and customer interactions that require judgment, empathy, or exception handling.