AI order taking on WhatsApp and the phone for restaurants and shops

The peak hour is when most customers order, and it is the very hour when the cashier has no minute to answer the phone or read WhatsApp. A customer who sends an order and waits ten minutes with no reply orders from somewhere else, and you never know they tried.

The digital employee takes every order at the same moment, however many there are, and sends them to the kitchen or the till in order. What stays with the team is preparing, handing over and serving the customer standing in front of them.

A wrong order costs more than a slow one: a wrong item means a returned meal and an annoyed customer. So we build the flow on three safeguards: items come from the menu only, everything missing is asked about, and the whole order is read back before it is sent.

Before launch we test it on real orders from your WhatsApp archive, with items named the way your customers name them and not the way the menu does, with abbreviations and typos. Every everyday name for an item is added as a synonym, so it understands “the family meal” and “the offer” as your regulars mean them.

If your point-of-sale or ordering system offers an interface, the order enters it like any other and appears in the kitchen. If it does not, the order reaches a simple panel the cashier watches, with a sound alert, or the team’s WhatsApp, and the cashier then enters it into the system.

In the first session we tell you which of the two is possible with your system, because the difference is real: the first needs no human hand, and the second needs a person to accept the order. Both are better than orders scattered across chats nobody is following.

In a retail shop the question changes from “what’s on the menu” to “is this in stock”. The digital employee answers from the list of products and stock your team keeps up to date, or reads it from the stock system where the system offers an interface. It takes the size, colour and quantity and fixes the order for delivery or collection from the branch.

It does not replace an online store for anyone selling a large catalogue, but it serves the customer who prefers to order by message, which is a common habit. If you have a store, it sends the customer to the product page when that is easier for them.

The digital employee neither asks for nor accepts card numbers in the chat. Payment is made the way you approve: on delivery or collection, or through a payment link your own system issues. On allergens it states only what the approved menu says, and passes anyone who mentions a severe allergy to a person, because that answer carries a responsibility an automated reply should not take.

It does not promise a delivery time you have not approved, compensate for a late order or settle a complaint. Complaints go to the branch manager with a summary of the order and the conversation. Offers and “what’s new” messages go only to people who agreed to receive them, as templates Meta has approved.

The demo page opens on a fictional sample business. Order as a customer in a hurry would: type the whole order in one message, then change an item and ask for something that is not there. Try a voice call too, and watch how the order is recorded in the system panel.

Yours is built on your menu, your branches and your delivery area. Customer details and addresses are kept with defined access in line with the Saudi Personal Data Protection Law, and the number, the accounts and the code belong to your business.