AI Voice Agents for Retail - ConvoZen
Scale retail customer support with multilingual AI voice agents that automate routine calls.An AI voice agent for retail answers and routes customer calls, handles routine requests such as order status, cancellations, and returns, and passes complex cases to people with full context. ConvoZen builds these agents on a platform that connects voice with chat, WhatsApp and email, so a retailer runs one conversation layer instead of several disconnected tools.
Where Retail Call Volumes Create Pressure
Retail support demand does not grow in a straight line. It spikes. Pilgrim, a Mumbai-based D2C beauty brand, saw support demand surge roughly 5 to 7 times during sales. Its customers also deviated from rigid decision trees, which meant more clicks and longer resolution times.
The same few questions drive most of that load:
- Where is my order?
- Can I cancel or change it?
- How do I return or exchange this?
- When will my refund arrive?
Each is simple on its own. At volume, they decide whether queues stay manageable and whether human agents have time for the conversations that need them.
How ConvoZen Voice Agents Work for Retail
Conversational AI in retail depends on speed and accuracy. A voice agent that pauses too long or mishears an order number quickly loses the customer.
ConvoZen’s voice pipeline combines speech-to-text (about 100ms), orchestration (about 40 to 50ms), a language model and text-to-speech (about 200ms). End-to-end latency starts at 850ms for a light model with light context. Filler masking caps perceived latency at 800ms.
The agent connects to your systems through the Actions Framework and draws answers from a Knowledge Base. It follows the steps of your workflow, updates your records and completes the task, rather than only answering questions.
Retail Calls ConvoZen Voice Agent Handles
| Retail workflow | What the voice agent does |
| Order status | Looks up the order and gives delivery updates |
| COD confirmation | Calls the customer to confirm cash-on-delivery orders |
| Cart recovery | Calls back shoppers with high-intent carts |
| Returns and exchanges | Takes refund, replacement and warranty requests |
| Delivery checks | Follows up on delivery and collects post-delivery feedback |
| Retention | Handles repeat-purchase outreach and reminders for store visits and pickups |
Voice AI for order status is usually the first deployment. Volume is high, intent is clear, and the answer sits in a system the agent can read.
Understanding Customers in Their Own Language
Retail customers in India rarely call in one clean language. Accuracy on Indian languages therefore matters more than a headline language count.
ConvoZen’s speech-to-text records a 0.05 word error rate (WER) in English and 0.07 in Hindi, benchmarked across 9 Indian languages. Akshara, ConvoZen’s ASR model, recorded 8.1% WER on telephonic speech against 14.2% for Sarvam Saaras v3 and 14.5% for ElevenLabs Scribe v2.
Responses are voiced by Ragini, a text-to-speech model trained on more than 800 hours of proprietary Indian voice acting. It generates audio in under 200ms.
One Customer History Across Channels
A customer may ask about an order on WhatsApp, then call to follow up. Repeating the story is one of the most common sources of frustration.
ConvoZen’s Customer 360 and Agent Memory keep context across voice, chat and email, so the agent knows the earlier request, the order and the outcome. The customer continues the conversation instead of restarting it.
Handoff to Human Agents and Quality Checks
Some calls should reach a person: a high-conflict return, a failed payment or an upset customer. The voice agent hands these over with the conversation context attached. ConvoZen’s Copilot then supports the human agent with real-time guidance and next best actions.
Quality checks cover the full volume of interactions. Auto QA reviews conversations against your policies, and consent and audit logs are retained for compliance. ConvoZen audits more than 50M conversations a month across its platform.
Results from Consumer Brands
Pilgrim deployed ConvoZen’s WhatsApp AI Agent, and the results show what automation does for resolution during peak periods:
- 34% decrease in agent transfer rate
- 73% increase in bot resolution rate
- CSAT of 4.25
Nilesh Kambli, Sr. VP, Customer Experience at Pilgrim, said: “We’ve seen agent transfers drop drastically.”
Phitku, a D2C personal care brand, reduced average handle time (AHT) by 50%, collected feedback on 80% of interactions and automated 50% of interactions. At platform level, ConvoZen runs more than 40M voice AI calls a month.
Retail support is a volume problem with a narrow band of repeatable intents. A retail voice agent works when it responds quickly, understands how customers speak, acts on live order data and hands off cleanly when a call needs a person. ConvoZen’s published latency, language accuracy and customer outcomes show how those requirements are met in practice.
To see a retail voice agent in your own environment, Book a demo.
FAQs
1. Can the ConvoZen voice agent handle sale-season spikes?
Pilgrim’s support demand rose 5 to 7 times during sales, and its agent transfer rate fell 34% after deployment. That result came from ConvoZen’s WhatsApp AI Agent. Voice volumes can be scoped in a demo.
2. What happens when a customer asks for something outside its scope?
The agent hands the call to a human agent with the conversation context attached. The copilot then guides the agent with the next best actions.
3. Does it handle customers who switch between Hindi and English mid-call?
ConvoZen’s speech-to-text is benchmarked across 9 Indian languages, with a 0.07 WER in Hindi and 0.05 in English. Mixed-language call performance can be tested on your own call samples.
4. How does it connect to our order management system?
The Actions Framework connects the agent to your back-office systems through APIs, so it can read order data and update records. Integration scope is confirmed during onboarding.
5. How is a deployment priced?
Pricing depends on call volume, channels and workflows in scope. Talk to sales for a quote based on your requirements.
