At Crowdy.ai, our team starts AI chatbot development by defining the client’s goals and technical requirements. For example, the goal may be to reduce call centre workload or increase the level of automation in FAQ processing, while the technical requirement may be to integrate the bot with the customer’s CRM or to place the bot in a specific communication channel or on the website. Our dialogue design specialists develop the structure of a chatbot and create a diagram of the sequence of actions: define possible user goals and bot reactions. When we create a chatbot with natural language recognition based on machine learning, we train it to understand a variety of user requests. Our chatbots continue to learn even after they are launched – this is a useful practice because it is impossible to predict all user reactions, so it is important to communicate with real customers.
After creating the dialogue tree and integrating all the necessary components, the Crowdy chatbot is tested internally, refined and submitted to the customer for review. Once all the tests are completed, the bot is placed in the working channel, where real customers start communicating with it. The whole process is monitored and we analyse the bot’s performance.
What makes the Crowdy chatbot different from other solutions on the market is the ability to customize the chatbot according to the customer’s needs. The following are the customization parameters to make the chatbot work as efficiently as possible:
1) The customer’s business, its peculiarities and specificities.
2) Whether your customers are companies (B2B) or individuals (B2C)
3) The purpose of using a chatbot – selling a product or service, collecting customer contacts, answering frequently asked questions, etc.
4) The identity of the chatbot – is the chatbot a duplicate of an employee of your company, or does it appear to be a chatbot?
5) Tone and manner of chatbot communication
6) Speed of chatbot responses
7) Length of chatbot responses
8) Primary message of the chatbot
9) Maximum duration of the chatbot dialogue with the customer
10) Limitations on the information provided by the chatbot
11) Time interval and type of display of the chatbot on the website
12) Colour and visual solution of the chatbot
13) Sources of information used by the chatbot in its responses
14) Supported languages – the chatbot can start a dialogue with a customer in more than 30 languages.
15) Integration with CRM and ERP systems – the ability to connect the chatbot to popular business tools such as Salesforce, HubSpot, Pipedrive and others.
16) Integration with messengers and social networks – the ability to communicate via WhatsApp, Telegram, Facebook Messenger, Instagram and other channels.
17) Integration with email and SMS – the chatbot can notify customers and send personalized messages.
18) Automatic translation of messages – the ability to instantly translate messages into the required language when communicating with a customer.
19) Voice message handling – support for voice input and integration with voice assistants.
20) Transfer to live operator – flexible settings for transferring the dialogue to the manager and the ability of the manager to intervene in the dialogue with the customer in real time.
21) Level of analytics granularity – collect data on dialogues, customer behaviour scenarios, and bot effectiveness
22) Capture of previous interactions – the chatbot can take into account the history of communication with the customer and personalize responses
23) Intent recognition – understanding the customer’s request and tailoring responses accordingly
24) Content filtering and moderation – identifying unwanted words and preventing abuse
25) Different dialogue scenarios – the ability to create complex chains of interactions based on user actions
26) Personalized offers – adapt content and offers based on customer data (IP, device used by the customer)
27) Notifications and Reminders – Automatically notify customers about special offers, discounts, presentations and other events.
28) Flexible restriction settings – ability to filter which topics and queries the bot can and cannot handle
29) Detection and analysis of the customer’s emotional state – the ability to adjust the tone of responses depending on the user’s mood.
30) Multi-level authorization – the ability to configure the chatbot to communicate with different categories of users, based on the page of the website from which the customer’s initial request came.
31) Support for integration with payment systems – the chatbot can be configured to make payments and invoices directly in the dialogue.
32) Work with promo codes and discounts – the chatbot can automatically issue personalized offers and promo codes based on user activity.
How a Crowdy chatbot can help your business, given the ability to customize on 32 parameters
A Crowdy chatbot is a powerful tool for automating customer communications that can be customized to your business needs. Unlike off-the-shelf solutions, our chatbot is customizable on 32 unique parameters, allowing you to create the most personalized tool to communicate with your audience.
The bot is tailored to your business, whether you’re working with B2B or B2C segments, and is customized for specific purposes: sales, customer support, lead generation, or answering frequently asked questions. Its communication style, tone, and dialogue can be customized to suit your company’s needs, and it can work as a digital assistant or simulate communication with a real person. Preferences allow you to set the speed and length of responses, the maximum length of dialog, and restrictions on the information provided, so that the bot meets your needs.
An important feature is the ability to customize the visual design. The chatbot is integrated into the website and can be styled according to the company’s corporate colours. Flexible settings for display time and appearance triggers allow you to interact with your visitors as efficiently as possible.
With support for more than 30 languages, the chatbot can serve customers from all over the world, automatically recognizing the user’s language and providing convenient communication. Integration with CRM and ERP systems, messengers, payment services, and other business tools makes it an integral part of the company’s operational processes. It can work with dynamic data to check order status, product availability or schedule appointments, as well as automatically filter and moderate content.
By using a Crowdy chatbot, you can significantly reduce the workload of your employees. It takes care of routine tasks such as handling initial inquiries, providing information, clarifying details, assisting with orders, and much more. This not only reduces customer service costs, but also speeds up the processing of inquiries and improves service quality.
The built-in analytics system allows you to track interaction statistics, analyse customer behaviour, and optimize communication scenarios. The chatbot learns from dialogues, remembers previous interactions, and adapts its responses to improve efficiency. If necessary, it can escalate complex requests to the operator and automatically prioritize them.
Data security and privacy meet international standards, including GDPR requirements. This is particularly important for companies operating in financial services, e-commerce and other sectors where protecting customers’ personal data is critical.
The Crowdy chatbot can also be used for marketing purposes. It can be used to segment audiences, conduct interactive surveys, deliver personalized offers and promo codes, and send notifications and reminders. As a result, businesses get not just a tool for handling inquiries, but a powerful digital assistant that can help increase sales, improve customer retention, and boost website conversion rates.
Investing in such a tool yields tangible results: reduced staff costs, increased speed of inquiry resolution, increased customer satisfaction and, as a result, increased profits. Crowdy’s chatbot is not just software, but a strategic tool that helps companies achieve their business goals and adapt to the modern demands of the digital world.