Il Bot perfetto per mostrare i tuoi prodotti e offrire tutto supporto relativo agli ordini dei tuoi clienti, incluso il passaggio al collega umano; può essere utile anche per offrire sconti e promozioni.

Bot de servicio al cliente que muestra sus productos y brinda información útil a sus clientes, así como soporte humano si es necesario

flowbots for peach

This chatbot demonstrates how to use all the new features of the WebRequest Action. Now you can use all the attributes set in your chatbot in all WebRequest Action's metadata, as shown in the following figure: <img width="400" alt="image" src="https://user-images.githubusercontent.com/32564846/236867311-86ee319e-c192-4af5-bd48-12c51728b5de.png"> And in JSON Body too! <img width="600" alt="image" src="https://user-images.githubusercontent.com/32564846/236867695-c5c6af19-77e8-4abf-99b1-25bfc044f954.png"> We set initial data for the test in "start" block: **user_SSN** attribute: <img width="600" alt="image" src="https://user-images.githubusercontent.com/32564846/236867899-720a092e-4a10-484f-b999-a9cdf43820f9.png"> And **apikey** attribute: <img width="600" alt="image" src="https://user-images.githubusercontent.com/32564846/236868088-d0a1cf12-127a-42cf-816e-4171d0e98447.png"> ## Assign custom attributes from remote JSON We use [handlebars syntax](https://handlebarsjs.com/guide/expressions.html) to get data back from JSON and assign those data to custom attributes <img width="600" alt="image" src="https://user-images.githubusercontent.com/32564846/236868589-6cb7a4b3-25f4-4448-9f1d-f76960aa9720.png"> We got the JSON using this [replit app](https://replit.com/@tiledesk/test-webrequest-json-attributes#index.js) ``` app.get('/jorgearray/:userid', (req, res) => { console.log('/test called! headers:', req.headers); const userid = req.params["userid"] const apikey = req.headers["apikey"] const data = [[{ "userid": userid, "username": "flopiaballay4@gmail.com", "lastname": "Aballay", "firstname": "Anahi Florencia", "email": "flopiaballay4@gmail.com", "confirmed": "true", "suspended": "false", "deleted": "true", "retApikey": apikey }]]; console.log("ret data:", data); res.send(data); }); ``` You can omit {{{ }}} symbols, the system automatically will use the inner syntax to get data. If your expression starts instead with { the interpreter will switch to the full syntax as in the following example, where we got the last element in "kids" array: ``` app.get('/testjson', (req, res) => { console.log('/testcomplesso called!'); const data = { "name": "Alan", "hometown": "Somewhere, TX", "time": 123, "owner": { "name": "Andrea", "CF": "SPN" }, "html": "<div>HTML Content!</div>", "kids": [ { "name": "Jimmy", "age": "12" }, { "name": "Sally", "age": "4" } ], "names": [ "Andrea", "Marco", "Mery", "Nico", "Antonio", "Stefania", "Luca" ] }; res.send(data) }); ``` With the following syntax: "{{#each kids}}{{#if @last}}{{this.name}}{{/if}}{{/each}}" Look there: <img width="400" alt="image" src="https://user-images.githubusercontent.com/32564846/236870499-cd0e93b1-c832-47da-83d7-6e9bd88c150a.png"> Hope this helps you enjoy the power of the new Tiledesk WebRequest Action! Feel free to write to andrea@tiledesk.com for issues or more info

A simple chatbot with a very simple form asking your visitors some useful data 🙂 It's just a very simple chatbot with a basic form, asking data as soon as a conversation starts (before any interaction will take place). Enjoy the simplicity of Tiledesk forms!

This simple chatbot gets user data through a dyna-form and then creates (or updates) a Contact on [Hubspot](https://www.hubspot.com/). To use this integration you need a **Hubspot Access token**. We'll learn how to create one. The main block is _askandsend_. This block uses a form to ask the follwing data, creating the corresponding chatbot attributes: * User first name. Attribute: _firstname_ * User full name. Attribute: _lastname_ * User email. Attribute: _userEmail_ <img width="800" alt="form to ask data" src="https://user-images.githubusercontent.com/32564846/234824686-74090871-eee7-44a9-8875-3865385a87ae.png"> Once the form is configured you can move to the next step, sending contact's data to Hubspot. To achieve this goal first [create a new Private App](https://developers.hubspot.com/docs/api/migrate-an-api-key-integration-to-a-private-app#create-a-new-private-app) on Hubspot. In this way you will get a new **Access token** to connect to their APIs. ## Hubspot Private app When asked, select the "scope" of your app, taking care of selectiong "contacts" and assigning at least the Write permission (that we use for our chatbot). <img width="800" src="https://user-images.githubusercontent.com/32564846/234829939-5eba44cd-5839-44e6-bfd1-64850f6fd8d1.png"> Once created you can go to the App's details page where you can get your **Access token**. We'll use this later. <img width="800" src="https://user-images.githubusercontent.com/32564846/234831540-222c7e03-3379-483f-a98c-a956e79ef1d5.png"> ## Configure your connection Now back to our chatbot. Add a _WebRequest_ Action from the side menu. The WebRequest Action simply executes an HTTP call to the Hubspot "create a contact" REST API. See related [https://developers.hubspot.com/docs/api/crm/contacts](https://developers.hubspot.com/docs/api/crm/contacts) documentation. <img width="800" src="https://user-images.githubusercontent.com/32564846/234832565-71d03e20-4afa-4383-9363-a0a0636c340d.png"> Setup the HTTP url with the documented API endpoint using the **POST** HTTP method. Hubspot contact's **API endpoint**: ``` https://api.hubapi.com/crm/v3/objects/contacts ``` Then setup all the HTTP headers fields as in the picture, taking care to set the Authorization header field with your own **Access token**. Now move to the body section and set the dyna-form related attributes in the Hubspot JSON body, as shown in the picture: <img width="700" src="https://user-images.githubusercontent.com/32564846/234833085-4e3a60cc-538a-45db-a6fb-dd18fce5c926.png"> **Contact JSON body**: ``` { "properties": { "email": "${userEmail}", "firstname": "${firstname}", "lastname": "${lastname}" } } ``` Well, now press _Test it out_ to see the chatbot in action: <img width="400" src="https://user-images.githubusercontent.com/32564846/234834425-7f08f8e8-ef08-4f69-8f02-8ceae56996b4.png"> As soon as the conversation ends The WebRequest action sends all the contact data to Hubspot Contacts. You we'll see your updated contact in the Hubspot's Contact center: <img width="800" src="https://user-images.githubusercontent.com/32564846/234834974-950e0856-6218-4f0d-99ea-a7a7e2998389.png"> Hope you enjoy this simple chatbot 🤖 If you need any help please feel free to contact me at _andrea_ _at_ _tiledesk.com_ 🤓

Improve lead scoring with our free chatbot template. Our quiz-based approach automatically scores leads based on their answers and collects customer info. Once the lead has been qualified, you can receive it by email or directly to your CRM. In this free chatbot template there is an example of integration with Hubspot, thanks to the Tiledesk action "Web Request" **DISCLAIMER**: for the Hubspot integration, please remember: 1. to replace "Bearer pat-eu1-43dfa4c0-b5a7-4724-a99a-b67aa87c3bf3" Authorization Key with the one of your private app. More details are available in our [Hubspot integration tutorial](https://tiledesk.com/community/search/getchatbotinfo/chatbotId/64497fa225e3f70012b33f58-Ask-and-Hubspot) 2. to create a custom properties on Hubspot to receive the score of the lead (in our example "score" was created) or use the default ones of Hubspot Revolutionize your lead scoring process with our bot. Qualify leads better to boost sales results.

Servizio clienti per Agenzie Viaggi Online. Offre la possibilità di modificare e cancellare le prenotazioni oltre all'automazione delle risposte alle domande più frequenti. Infine, vi è la possibilità per un utente di parlare con un operatore umano.

This a chatbot template for the Hotel Industry. Booking rooms, promoting special offers, and talking with agents are some of the features.

A basic proactive chatbot that converts visitors' contact info in more natural way thanks to a conversational form that is highly customizable.

Prendi il controllo delle spedizioni per il tuo e-commerce con il nostro modello di chatbot gratuito. Il nostro modello di chatbot per la gestione delle spedizioni è facile da usare e completamente personalizzabile. Questo chatbot ha come obiettivo offrire supporto ai clienti degli E-commerce con la spedizione dei prodotti da loro acquistati.

Prendi il controllo delle tue spedizioni con il nostro modello di chatbot gratuito. Questo modello di chatbot per la gestione delle spedizioni è facile da usare e completamente personalizzabile per una gestione efficiente dell'intera attività.

This simple chatbot gets user data through a dyna-form and then creates (or updates) a Contact on [Sendinblue](https://www.sendinblue.com/). To use this integration you need a **Sendinblue API-KEY**. Please follow the corresponding [Sendinblue docs](https://developers.sendinblue.com/docs) to learn how to create one. The main block is _askandsend_. This block uses a form to ask the follwing data, creating the corresponding chatbot attributes: * User first name. Attribute: _firstname_ * User full name. Attribute: _lastname_ * User email. Attribute: _userEmail_ <img width="800" src="https://user-images.githubusercontent.com/32564846/230483768-3da10f9e-19dc-4eb6-9bf1-4b878578ae05.png"> Once the form is configured you can move to the next step, sending contact's data to Sendinblue. To achieve this goal first add a _WebRequest_ Action from the side menu. The WebRequest Action simply executes an HTTP call to the Sendinblue "create a contact" REST API (See related [create a contact](https://developers.sendinblue.com/reference/createcontact) documentation) <img width="800" src="https://user-images.githubusercontent.com/32564846/230486051-77035d0e-97be-48a2-bc37-5418134aa952.png"> Setup the HTTP url with the documented API endpoint using the **POST** HTTP method. ``` https://api.sendinblue.com/v3/contacts ``` Then setup all the HTTP headers fields as in the picture, taking care to set the api-key header field with your own **Seindinblue API-KEY**. Now move to the body section and set the dyna-form related attributes in the Sendinblue JSON body, as shown in the picture: <img width="700" src="https://user-images.githubusercontent.com/32564846/230486589-c0cf1333-7281-4808-91e6-b891717aaf7d.png"> Well, now press _Test it out_ to see the chatbot in action: <img width="400" src="https://user-images.githubusercontent.com/32564846/230487247-29c9af2d-f20c-449f-9267-9d8ab9047632.png"> As soon as the conversation ends The WebRequest action sends all the contact data to Sendinblue Contacts. You we'll see your updated contact in the Sendinblue's Contact center: <img width="800" src="https://user-images.githubusercontent.com/32564846/230488362-fee01c5f-d499-4f24-a64d-299a491a72fd.png"> Hope you enjoy this simple chatbot 🤖 If you need any help please feel free to contact me at _andrea_ _at_ _tiledesk.com_ 🤓

Customer Care

A simple "quiz on Javascript" submitted through a Chatbot 🤓 You can use this chatbot to submit a simple test to your audience. This test makes wide use of "attributes" and "conditions" (aka the "flow"). ## Quiz Design The test uses "attributes". Attributes are a great way to manage your chatbot flow, and they are especially useful to store some in-flow data that can be also used later to manage your flow with conditions (you can use your attributes in any actions). <img width="900" alt="image" src="https://user-images.githubusercontent.com/32564846/229458815-17de81e8-55b1-403e-8773-d2e584514b77.png"> The test starts with the “Start quiz” button in the **“start” block**. Set up the _total_ attribute to his initial value of zero when the button is pressed. > TIP: Button’s “Attributes” option allows you to set up as many attributes as you want on a single button pressure. <img width="700" alt="image" src="https://user-images.githubusercontent.com/32564846/229460968-d180dc71-e92d-464b-88ce-79f7b61139c1.png"> <img width="528" alt="image" src="https://user-images.githubusercontent.com/32564846/229474089-13f48286-2c11-4d36-8803-1668f9a2412a.png"> The first question (**question1 block**) simply proposes four possible replies (plus a "Cancel test" option), where only one is true. We always use the Button's Attributes feature to set the current test score. Every time the user pressed the correct reply's botton the total score increases of the corresponding amount. When an incorrect reply is selected the score is set to zero. <img width="1132" alt="image" src="https://user-images.githubusercontent.com/32564846/229462520-f656e68e-5912-45b0-b9d4-63ef91e61ae4.png"> <img width="900" alt="image" src="https://user-images.githubusercontent.com/32564846/229464270-bbdce1af-7efb-4095-8a34-52009384e0f0.png"> Now move to **question2**. From now on, until the last question, each question will have the same identical structure. On each question we simply increase the "total" score adding the current reply's score coming from the previuos button press. <img width="900" alt="image" src="https://user-images.githubusercontent.com/32564846/229466456-b72a3dc9-b3f6-44a8-9aa2-a6c83de5c199.png"> The first action of each question always computes the new total, adding the actual question score - the one you got by pressing the choosen reply-button. After all, it’s a simple _add_ operation: ``` total = total + score ``` On the last question, as soon as the test comes to the end, the chatbot will branch on specific replies, based on your total score. Take a look at the branh_result block. It's made by threee condition-actions. Each action will move to the reply specific for the score. <img width="900" alt="image" src="https://user-images.githubusercontent.com/32564846/229618419-6f4a3b93-e556-473a-acb8-6820e56742d8.png"> And the result... <img width="300" alt="image" src="https://user-images.githubusercontent.com/32564846/229619734-f3863691-d384-4b7e-824c-d9e1e76ff938.png"> ## Proactive rules We also created a rule to proactively engage your visitors to open and complete the test. <img width="300" alt="image" src="https://user-images.githubusercontent.com/32564846/229613928-601a56e4-971d-4e0e-b6c8-6b89b80013d7.png"> Setup your proactive rule in the rules section: <img width="300" alt="image" src="https://user-images.githubusercontent.com/32564846/228898518-fab82c21-422b-435d-b18b-76a3104e39ca.png"> This rule simply states that whatever link you open the proactive block will be invoked: <img width="900" alt="image" src="https://user-images.githubusercontent.com/32564846/229614324-c0665ce9-de02-4132-95fd-a2e6b24b61f4.png"> ## Ask visitor name We also used "forms" to ask your visitor's data (his name). You can find the Form setup in the "start" block. <img width="900" alt="image" src="https://user-images.githubusercontent.com/32564846/229614743-e6004919-750c-43b5-af7d-379de1f83de6.png"> ## Whatsapp It also works on Whatsapp! Just push the green button et...voilà, it's ready to run on Whatsapp! <img width="300" alt="image" src="https://user-images.githubusercontent.com/32564846/229617345-f2e406ed-3a61-442b-8fd0-333769a328fc.png"> ## Conclusions Feel free to import and modify this test as you prefer. Let us know if you have some questions about this template writing a message to *andrea@tiledesk.com*

A simple chatbot that gives the option to move your widget conversation to a Whatsapp number.

The perfect bot to book a table, showcase your unique menu and show your restaurant's location.

Gives a suggestion for the selected Assignment

Boost sign-ups with our free chatbot template. Easy to use and customizable, our conversational AI helps visitors sign up and assists with any problems. The goal of this free chatbot template is to help the users that are having troubles to signup to your service. It also collects the mail of the lead and send it by mail to all the workspace members. It offers the possibility to speak with a live agent to proceed with the signup

The ROOTS chatbot is an AI-powered feature designed to assist users in learning Nigerian indigenous languages. It can help users with questions about the courses and provide additional resources to support their learning. The chatbot is accessible 24/7 and is equipped with natural language processing to ensure a smooth and engaging user experience. With the ROOTS chatbot, users can feel supported and motivated as they embark on their language learning journey.

Offer SaaS pricing and free trials with ease using our free chatbot template. Quick to set up and also collects customer emails for further communications. The goal of this free chatbot template is to give info about pricing and plans. It also collect leads and send them by email to all the members of the project. It offers the possibility to talk with a sales agent or to ask for a demo. NOTE: please replace the URL of demo block with the one of your online appointment scheduling software

یک ربات اولیه با دو هدف شروع و بازگشت به ابتدای مکالمه. پیام خوشامدگویی اولیه به زبان فارسی است و همچنین پیش‌فرض بازگشت کلیدواژه Fallback است. پیام اولیه با حداقل مجموعه ای از عبارات آموزشی آموزش داده می شود. بعتر آن است که منطق خود را از ابتدا پیاده سازی کنید و ربات خود را آموزش دهید.

This chatbot shows you how to create a Product Recommendations to add a Last Minute Deals block of product recommendations on your store’s Checkout page. The recommendations will include on-sale, trending products that also convert well.

A basic chatbot that asks for your customer's contact info (name and email) and the company size (how many employees)

Replace the current bot with the browser language bot. The pivot-language bot is added when no matching language is available.

A simple chatbot that moves you to the first available agent only when there is someone online. When there are no available agents the chatbot will reply with a notice message.

Bot de Teste Tedsys

A chatbot that helps you improve and smoothen your customer service by offering automated collections showcase as well as responses to common issues such as order tracking or modification. It also includes a handoff to a human agent, should a customer prefer to speak to a Sales rep.

A chatbot with blocks of conversation imported through a .csv file containing FAQs and answers that are being automated.

A basic chatbot that asks for your customer's contact info in more natural way thanks to a conversational form that is highly customizable.

Questo chatbot si rivolge a professionisti e aziende che desiderano migliorare la loro comunicazione e offrire un servizio efficiente ai propri clienti, ad esempio rispondendo alle domande frequenti, fornendo informazioni sui prodotti o servizi e supportando i clienti nel processo decisionale. L'azienda potrà concentrarsi su attività più strategiche grazie al chatbot disponibile 24/7 in supporto dei clienti. È personalizzabile nei contenuti (testo, immagini, video, form dei contatti) per adattarsi alle esigenze aziendali specifiche. Chatbot for self-promotion or portfolio, suitable for individuals, freelancers, start-ups, side projects.

A chatbot that includes anything revolving customer's shopping experience, including shop browsing, order modification or cancellation, order tracking, returns and more.

A basic chatbot that collects customer's contact info while your offices are closed, so that no leads are slipping through the cracks and are easily picked up once you're back in business.

A basic chatbot that allows you to provide a price quotation to your customers based on the info collected from them, such as shippment requirements, post code etc. Highly customizable.

A basic chatbot that prompts special deals with images to boost sales.

This chatbot provides customers with a wide range of quick replies aka buttons than encapsulate info about products, quick solutions, maps, images, videos etc.

A chatbot that hands over the conversation to available agents. It also collects customers' data should they wish to leave a message for the Team.

A basic chatbot that collects info about issues according to different levels of priorities: high, low and medium.

This chatbot template allows you to profile your customers' needs based on info provided in the live chat widget. Customers may get further information and order products thanks to personalized offers.

A simple chatbot that collects ustomer's feedback and service rating. It can guide you through improving customer experience, and understanding what are the most & the least appreciated features about your offerings.

A basic chatbot that asks for your customer's contact info in more natural way thanks to a conversational form that is highly customizable.

En grundläggande chatbot med start- och reservavsikter. Det inledande hälsningsmeddelandet är på engelska såväl som det förinställda återgångsmeddelandet. Det första meddelandet tränas också med en minimal uppsättning träningsfraser. Bra att implementera din logik från början.

Başlangıç ve geri dönüş amaçlarına sahip temel bir sohbet robotu. İlk selamlama mesajı, defaultFallback mesajının yanı sıra İngilizce'dir. İlk mesaj aynı zamanda minimum sayıda eğitim cümlesi ile eğitilir. Mantığınızı sıfırdan uygulamak güzel.

Un chatbot básico con las intenciones de inicio y respaldo. El mensaje de bienvenida inicial está en inglés, así como el predeterminado. El mensaje inicial también se entrena con un conjunto mínimo de frases de entrenamiento. Es bueno implementar tu lógica desde cero.

Базовый чат-бот с начальным и резервным намерениями. Начальное приветственное сообщение на английском языке, а также по умолчанию. Исходное сообщение также обучается на минимальном наборе обучающих фраз. Хорошо реализовать свою логику с нуля.

Un chatbot de bază cu intenții de pornire și de rezervă. Mesajul inițial de salut este în engleză, precum și cel implicitFallback. Mesajul inițial este, de asemenea, antrenat cu un set minim de fraze de antrenament. Bine să-ți implementezi logica de la zero.

Um chatbot básico com as intenções de início e retorno. A mensagem de saudação inicial está em inglês, assim como a defaultFallback. A mensagem inicial também é treinada com um conjunto mínimo de frases de treinamento. É bom implementar sua lógica do zero.

En grunnleggende chatbot med start- og fallback-hensikter. Den første hilsenen er på engelsk, så vel som den standard tilbakegangsmeldingen. Den første meldingen trenes også med et minimalt sett med treningsfraser. Godt å implementere logikken fra bunnen av.

Alapvető chatbot, indulási és visszaállítási szándékkal. A kezdeti üdvözlő üzenet angol nyelvű, valamint az alapértelmezett Fallback üzenet. A kezdeti üzenetet a képzési kifejezések minimális halmazával is betanítják. Jó megvalósítani a logikáját a semmiből.

Ein einfacher Chatbot mit den Start- und Fallback-Intents. Die anfängliche Begrüßungsnachricht ist ebenso wie die defaultFallback-Nachricht auf Englisch. Die anfängliche Nachricht wird auch mit einem minimalen Satz von Trainingsphrasen trainiert. Gut, um Ihre Logik von Grund auf neu zu implementieren.

Un chatbot de base avec les intentions de démarrage et de secours. Le message d'accueil initial est en anglais ainsi que celui par défaut. Le message initial est également entraîné avec un ensemble minimal de phrases d'entraînement. Bon pour mettre en œuvre votre logique à partir de zéro.

Perus-chatbot, jolla on aloitus- ja palautustarkoitukset. Ensimmäinen tervehdysviesti on englanniksi sekä oletusarvoinen Fallback-viesti. Alkuviesti opetetaan myös pienillä harjoituslauseilla. Hyvä toteuttaa logiikkasi tyhjästä.

Een basischatbot met de start- en terugvalintenties. Het eerste begroetingsbericht is in het Engels, evenals het standaardFallback-bericht. Het eerste bericht wordt ook getraind met een minimale set trainingszinnen. Goed om je logica vanaf nul te implementeren.

En grundlæggende chatbot med start- og fallback-hensigter. Den indledende hilsen er på engelsk såvel som standardtilbagegangsbeskeden. Den indledende besked er også trænet med et minimalt sæt træningssætninger. Godt at implementere din logik fra bunden.

A basic chatbot with the start and fallback intents. The initial greet message is in english as well as the defaultFallback one. The initial message is also trained with a minimal set of training phrases. Good to implement your logic from scratch.

Un chatbot molto semplice che dispone solo degli intent start e defaultFallback. Il saluto iniziale è in italiano, così come il messaggio per il fallback. Il messaggio di saluto iniziale è addestrato con un minimo set di possibili frasi utente (ex. Ciao, buongiorno...). Ottimo per implementare la tua logica partendo dal minimo indispensabile.