An AI Agent for Missed WhatsApp Enquiries

An enquiry on WhatsApp does not wait for business hours. A photo of a product, a question about a size, a message in a language the person answering does not speak fluently: all of these arrive whenever the sender is looking, not whenever a factory has someone free to answer. A dealer or a buyer who does not receive a reply within a reasonable window moves to the next factory, without explaining why.

What problem does a missed WhatsApp enquiry create for a manufacturer?

Most first contact from a dealer or a buyer now happens on WhatsApp rather than through a formal enquiry form or an email. The enquiry arrives as a photo, a short question, or both, often after the factory has closed for the day or while the person who would normally answer it is occupied elsewhere. Answering it correctly requires checking real sizes, current prices, and stock on hand, information that lives in the manufacturer's own systems rather than in the memory of whoever happens to see the message first. Every hour a message sits unanswered is an hour the sender may already be asking someone else.

How does an agent connected to the ERP handle this?

An agent connected to the manufacturer's own ERP reads an incoming WhatsApp enquiry, in whatever form it arrives, and checks it against the business's real sizes, prices, and current stock before drafting a reply. The reply reflects what the business actually has and actually charges at that moment, rather than a static price list that may already be out of date.

What does the agent read?

The message itself, whether it is text, a photo, or a combination of the two, along with the fields the business already keeps in its ERP: catalogue sizes, current pricing, and stock levels.

What does the agent produce?

A drafted reply built from those real records, ready for a person to check and send.

Why does building this capability in-house take months?

Connecting a system to WhatsApp, reading a message that may arrive as a photo or in a language other than the one the business operates in, and matching it against a live ERP feed is a project with several separate parts: a WhatsApp integration, a language layer, and a reliable connection to the business's own data. A manufacturer's technical team can build each of these pieces, but assembling and testing all of them together is a project measured in months rather than a weekend of configuration. An agent that already performs this work exists now, which is the difference between building a capability from scratch and adopting one that is already built.

Where does Mirai360 fit?

Mirai360 AI builds the agent described above: reading a WhatsApp enquiry in whatever form it arrives, checking it against a manufacturer's own sizes, prices, and stock, and drafting a reply for a person to approve. The same discipline applies here as to every agent Mirai360 deploys: one defined task, a person approving the message before it reaches a customer, and a system that already exists rather than one still being assembled in-house.

Frequently asked questions

Does the agent reply to a customer directly?

The agent drafts the reply from the business's own sizes, prices, and stock. A person reviews it before it is sent, consistent with how Mirai360 builds every customer-facing agent.

What does a manufacturer need to start?

Access to the WhatsApp number enquiries already arrive on, and a connection to the ERP fields the reply depends on: sizes, prices, and stock.

Talk to us

Mirai360 AI helps manufacturing businesses answer a WhatsApp enquiry before it goes to the next factory. Tell us how enquiries arrive in your business today. Message us on WhatsApp: Tell me more.