Chat & Voice bots

A chatbot is a communication interface that automates user support, reducing costs for customer service or providing users with a unique service. Over the course of 6 years, we have implemented more than 100 chatbots for enterprise clients in various departments such as marketing, HR, sales, customer service, and others. Our goal has been to enhance communication efficiency with consumers and employees. We take pride in our partnerships with clients who have entrusted us with their expertise from the first project, and they return to us with new challenges. The synergy between our clients' business expertise and Cleverbots' technological know-how enables us to execute groundbreaking projects that set benchmarks for the market.

#1

Best Dialogue System Developer according to Ruward, 2021

10 000 000

Users of chatbots, developed by Cleverbots

~30%

Cost savings on customer support after implementing a chatbot

WHY HAVE CHATBOTS BECOME EFFECTIVE TOOLS FOR BUSINESSES AND USERS?

Business

  • Creating a chatbot is cheaper and faster than a mobile application: there's no need to allocate resources to interface development.
  • A chatbot serves as an efficient communication channel with push notifications. Unlike SMS, they are free. Additionally, the conversion rate of push notifications is 3 to 10 times higher than email campaigns.
  • Scaling a chatbot is easy. After launching on one platform, it can swiftly be developed on another.
  • Chatbots provide 24/7 assistance to customers without the need for human operators.
  • Updating a bot is quick, without waiting for new versions to be reviewed on Google Play or the App Store.

User

  • Accessing the bot takes just one click in a familiar messenger, making interaction with the company easy and convenient.
  • Messengers and social networks operate even on the simplest smartphones.
  • Chatbots function normally even with slow internet connections.
  • Bot updates are not tied to Google Play or the App Store: the latest version is loaded without user involvement.
WHAT TASKS CAN A CHATBOT SOLVE?
We select solutions for business tasks

Scenario-based conversation with users

  • Operates within a linear communication scenario based on predefined topics.
  • Interacts through keywords or via the chatbot's button menu.
  • Quick to implement, suitable for addressing localized tasks.
  • Collects user behavior data within the chatbot for further refinement of functionality.

Free speech human-like conversations

  • Chatbots created using AI technologies:
  • Capable of engaging in meaningful conversations with users.
  • Support communication in a free format.
  • Learn from company data and understand specific vocabulary.
  • Have the ability for self-learning.
CHATBOTS CAN BE IMPLEMENTED IN ANY DIALOGUE INTERFACE WITH API FOR INTEGRATION

Social media

  • Facebook
  • Instagram

Messengers

  • WhatsApp
  • Telegram
  • Viber

Operator channels

  • Webim
  • Livetex
  • Chat2Desk
  • Salesforce
  • Jivo Site

Другие платформы

  • Microsoft Teams
  • Slack
  • E-mail

CHATBOT IMPLEMENTATION EXAMPLE

SOLUTIONS
Chat & Voice bots
Voice skills
Increase customer loyalty and involvement in brand communication using voice skills
For companies ready to use new channels of communication with consumers
+1
Новый канал коммуникации
~75%
NPS of a useful voice skill
Chat & Voice bots
Pharm Report
Automated receipt of up-to-date information about the cost and availability of drugs in pharmacies
For pharmaceutical companies
24 hours
to get analytics
-50%
research costs
-70%
the cost of mystery shoppers
Chat & Voice bots
Customer Care Bot
A multiplatform bot for automating customer support.
For B2B and B2C companies and brands with a large number of support requests.
up to
70%
saving on the support service
up to
30%
NPS growth
from
20%
increasing the effectiveness of communication through deep analytics
Chat & Voice bots
HR Bot
A multiplatform bot for automating communication with employees: obtaining certificates, testing, adaptation, informing and other tasks.
For medium and large businesses with a high load on the HR department and a high importance of human resources.
60%
of automating the processing of employee requests
x2
accelerating employee adaptation
+30%
employee search speed
Chat & Voice bots
HCP Bot
Chatbot for communication with healthcare professionals in messengers, social networks and on the website
For pharmaceutical companies
75%
doctors use messengers to communicate
+1
an additional channel of communication with doctors
+40%
effectiveness of communication with doctors compared to e-mail newsletters

Still not sure if the chatbot will work?

Check out the results it brought for Philip Morris International:

1 800 000

users have launched and regularly use the chatbot.

150 000

inquiries are processed through the chatbot across all platforms.

-40%

reduction in average handle time for inquiries.

-40%

decrease in the share of calls to the support service.

-30%

decrease in customer contact costs.

TRUSTED BY:
Questions and answers
How much does chatbot development cost?

Стоимость разработки зависит от функционала, который чат-бот должен выполнять и количество интеграций, которые необходимо настроить для передачи данных между внутренними системами компании и чат-ботом. В среднем стоимость разработки варьируется от 500 тыс. руб. до 3 млн. руб. Если у вас есть задача, которую вы хотите решить с помощью чат-бота, напишите нам, и мы подготовим оценку и сроки реализации.

How long does it take to develop a chatbot?

The cost of development depends on the functionality that the chatbot needs to perform and the number of integrations that need to be set up to transmit data between the company's internal systems and the chatbot. On average, the development cost varies from AED 20.000 to AED 100.000. If you have a task you'd like to address with a chatbot, please contact us, and we will provide an estimate and implementation timeline.

What is the difference between custom development and an off-the-shelf solution?

An off-the-shelf solution involves using a platform for chatbot development. Utilizing a platform speeds up the development process and provides a multitude of ready-made connectors to other systems, which also helps save on integration and development costs. Most platforms often offer a visual constructor for editing chatbot scenarios, analytical dashboards, dialogue logs, and other functionality that would need to be developed additionally in custom development. We have developed numerous custom solutions for our clients, and we also collaborate with the most reputable platforms in the Russian market to select the most suitable option based on business requirements. Among our partner platforms are: Twilio, Dialogflow, IBM Watson, etc.

With which systems can the chatbot be integrated?

The chatbot can be integrated with most systems that have APIs and accompanying documentation. In our practice, we have implemented integrations with a wide range of systems, including SAP, Salesforce, Magento, PowerBI, Gigya, Airflow, AppMetrica, Google Analytics, and many others.

Where is the best place to launch the chatbot?

Most popular social networks and messengers provide the ability to create chatbots, including: Telegram and WhatsApp, Viber, Facebook, Instagram, and also Microsoft Teams. Currently, WhatsApp and Telegram have the highest penetration among messengers, while Facebook is popular among social networks. The choice of channel depends primarily on the age of the target audience and the region of residence. For a younger audience, Telegram is the most effective option, while WhatsApp is preferable for a more mature audience.

How much does sending push notifications through a chatbot cost?

The cost of sending push notifications depends on the messenger/social network through which it will be conducted. Below are the costs for sending notifications through the most popular channels: Telegram - free; WhatsApp - from AED 0.15 per message; Viber - from AED 0.07 per message; Facebook Messenger - from AED 0.15 per message.

What is the difference between a rule-based chatbot and an NLP-powered chatbot?

When developing chatbots for automating support services to handle inquiries from both consumers and employees, there are two main approaches: rule-based (linear) and natural language understanding (NLU). In the case of rule-based logic, the user's interaction with the chatbot is predetermined by pre-designed scenarios (dialogue trees), and navigation within the interface occurs through buttons. When using an NLU module, the user has the ability to send their question as text to the chatbot, after which the NLU module processes it, finds the most appropriate answer in the knowledge base, and provides it to the user. This creates the illusion of communicating with a real person, enhancing user loyalty and allowing a larger number of questions to be processed within the chatbot. This is because the number of buttons on a single screen is often limited both by the channel and by usability concerns (UX).

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