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Information about it will be displayed in the Delivery Chatbot, and will go to the chat to the administrator and to the Chatbot for the client. Thanks to the synergy of bots and the integration of Google Sheets data and the display of order statuses in the administrator chat, no order is missed or not delivered. One of the features (and advantages) of the Chatbot is the client's personal account. It saves the address and the last order made, and this simplifies delivery for regular customers. a business-class residential complex for 10,000 residents, and many order the same thing for lunch or dinner. It is convenient for them to do this in two clicks and make online payments directly in the Chatbot.



Done in 14 days, cost 45,000 rubles. Results new zealand telegram data The creation of the Chatbot, from developing a user interaction scenario to writing and testing the code, took 14 days. Immediately after that, the Chatbot began to bring profit to the restaurant. During the first months of the Chatbot's operation, up to 15 orders per day were made through it. At the moment, the number of payments per week through it reaches 100 and is constantly growing. This allowed the restaurant to significantly increase its profits, completely abandoning the commission to large services.Email newsletters are one of the simplest and most inexpensive marketing tools. It is a proven classic… But every day we receive dozens of letters, and we delete most of them without opening them.



Is it possible to increase the effectiveness of newsletters several times without increasing their cost? We share a tech recipe from one of our clients. Client Features About a year ago, a large online store of children's goods approached us. The company regularly uses email newsletters, including trigger ones tied to a certain holiday and related to promotions. In addition, they track the history of customers: a customer who has visited their store once is placed in a certain segment of the database, and is then automatically moved from one segment to another. Thus, a customer who, for example, bought a toy for a 3-year-old child in the store will be offered toys for 4-year-old children a year later. The store regularly sent out product mailings, once a week, to all customer segments.