A WhatsApp voice note chatbot for dealers that listens first
A WhatsApp voice note chatbot for dealers has to understand a 40-second voice note in Malayalam, Hindi or Arabic and answer the actual question. Cloodot's AI agent listens to voice notes like any other message, replies in the customer's language, and can answer a voice note with a voice note of its own.
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(Voice note, 0:38, Malayalam)
The customer asked about the exchange value of a 2017 hatchback and whether the showroom is open on Sunday.
Voice note about an exchange car
Reply in Malayalam, by voice
Voice notes are how many customers actually ask
In Kerala, across North India and in the Gulf, plenty of buyers do not type. Anil Kumar records a 40-second voice note in Malayalam about the exchange value of his 2017 hatchback. A driver in Riyadh sends a voice note in Arabic asking whether the workshop can look at a noise in the gearbox. Their parents send voice notes about the car being booked for them.
For the showroom these are the hardest messages to clear. Nobody can listen on a busy floor, the person who picks up the phone may not speak the language, and a voice note cannot be skimmed or searched. So voice notes sit unplayed while typed messages get answered, and the customers who sent them are often the ones least likely to chase.
How a WhatsApp voice note chatbot for dealers works
The AI agent treats a voice note as a message. It listens, works out what is being asked, and answers from your knowledge base, the same way it would answer the typed question. Anil gets a reply about how exchange valuations work at your showroom and the Sunday hours, in Malayalam if that is one of the languages you have chosen for the agent. The reply languages include English, Malayalam, Hindi, Arabic and Urdu, and the agent understands messages in other languages even when it replies in one of yours.
You can also switch on voice replies. When a customer sends a voice message, the agent answers with a voice note spoken in the language they used, and can send the written version straight after. Typed messages always get typed replies. You choose the voice and a maximum length, and a reply too long to speak goes out as text.
Your team keeps the original voice note in the conversation, can translate the agent's messages or the customer's typed ones into their own language, and can record a voice note back from the composer when a person needs to reply. Labels the agent applies automatically read audio as well as text, so a voice note about a complaint can still be flagged and routed.
What Cloodot does here
Voice and image understanding
Voice notes and photos are read and answered like any other message, so a spoken question gets a real answer instead of "please type your query".
Reply languages
Choose the languages the agent replies in, including English, Malayalam, Hindi, Arabic and Urdu.
Voice replies
An optional voice note in reply to a voice message, in the customer's language, with your choice of voice and maximum length.
AI labelling
Automatic labels read audio too, so voice notes about complaints, finance or service land in the right queue.
Be realistic about voice
- Cloodot does not publish accuracy figures for understanding speech, and you should not assume perfect results. Expect misses on noisy recordings from a workshop floor or a moving car, on heavy code-mixing such as Malayalam with English or Hindi with English, on some regional Arabic dialects, and on model names and place names. Record voice notes the way your customers speak, send them from a teammate's phone during a pilot, and read the replies before you open it to everyone.
- Voice replies are off until you turn them on, both for the workspace and for each persona, and they are charged by length on top of the normal reply credit.
Set up voice note handling
4 steps
Choose the reply languages
On the persona's Persona tab, select the languages your customers speak, such as Malayalam, Hindi, Arabic and English.
Pilot with your own voice notes
Have teammates send questions the way customers ask them, including mixed-language ones, and review every reply before you open it to customers.
Decide on voice replies
Turn on voice replies for the workspace in Advanced settings, then on the persona: pick a voice, a maximum length and whether to send the written version too.
Label what needs a person
Create labels such as Complaint or Finance enquiry with AI Extraction on, so voice notes are routed like typed messages.
Questions teams ask
Can a WhatsApp chatbot understand voice notes?
Cloodot's can. The AI agent listens to voice notes and answers them like typed messages, from the same knowledge base and rules. Understanding is not perfect on noisy or heavily mixed-language recordings, so test with voice notes that sound like your real customers before relying on it.
Can the chatbot reply with a voice note?
Yes, if you turn voice replies on. When a customer sends a voice message, the agent replies with a voice note in the language they used, and can send the text version too. Voice replies are optional, off by default, and charged by length on top of the normal reply.
Which languages are supported for voice notes?
The agent understands messages in many languages, and replies in the languages you select, including English, Malayalam, Hindi, Arabic, Urdu, Spanish, French and German. If a customer speaks a language outside your list, the agent still tries to understand and answers in one of your chosen languages.
Can my team read what was said in a voice note?
Your team can play the original voice note in the conversation and read every reply the agent sent, including the text version of a voice reply. If a teammate does not speak the customer's language, they can translate messages into their own in the inbox.
Does it work for service customers as well as buyers?
Yes. Voice notes about a strange noise, a warning light or a car that is late back from the workshop are handled the same way as sales questions. Labels that read audio can route them to the service team instead of sales, and the agent can answer from your service information in the customer's language.
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