Looking for a chatbot which uses conversational AI technology

our chatbot allows enterprises to create advanced dialogue systems that utilise infosite, personal preferences and contextual understanding.

Benefits of Chatbot

24/7 Availability: Chatbots can be programmed to work 24/7 without any breaks, making them an ideal solution for businesses that want to provide round-the-clock customer support or assistance.

Cost-Effective: Chatbots are a cost-effective alternative to hiring human agents for customer support. They require minimal maintenance and can handle multiple conversations simultaneously, reducing the need for additional staff.

Scalability: Chatbots can handle an unlimited number of conversations simultaneously, making them a highly scalable solution for businesses that experience spikes in customer queries or traffic.

Increased Efficiency: Chatbots can handle routine tasks such as answering frequently asked questions, booking appointments, or providing product recommendations. This frees up human agents to handle more complex queries, improving overall efficiency.

Personalization: Chatbots can use machine learning algorithms to analyze user data and provide personalized responses based on their preferences and behavior.

Improved Customer Experience: Chatbots can provide quick and accurate responses to customer queries, reducing waiting times and improving the overall customer experience.

Increased Sales: Chatbots can be programmed to provide product recommendations, cross-sell, or upsell products based on user behavior and preferences, leading to increased sales and revenue.


Chatbot AI features are essential components that enable chatbots to provide personalized and effective responses to users.

Context Sensitive Response

This feature enables chatbots to understand the context of a user’s message and provide relevant responses. 

By analyzing previous conversations and the current message, chatbots can provide more accurate and meaningful responses to users. 

This feature is particularly useful in situations where users have complex or multifaceted queries.


Chatbots can use machine learning algorithms to analyze user behavior and provide recommendations based on their preferences. 

For example, an e-commerce chatbot can suggest products to users based on their previous purchases or browsing history.

Sentiment Analysis

Chatbots can analyze user sentiments by processing text messages and identifying positive or negative emotions. 

This feature is particularly useful for customer support chatbots as it helps them identify dissatisfied users and provide appropriate responses.

Intelligent Human Handover

This feature enables chatbots to transfer conversations to human agents when necessary. 

For example, when a user has a complex query or when sentiment analysis identifies a negative emotion, the chatbot can transfer the conversation to a human agent who can provide more personalized and empathetic support.


Data retrieval

Data Retrieval is a critical aspect of data management and it refers to the process of extracting information from a database or data storage system. 

This process involves identifying the relevant data sets and extracting them using specialized software tools or programming languages. In a chatbot context, data retrieval can be used to provide users with accurate and relevant information quickly and efficiently.

Data entry

Data Entry, on the other hand, involves the process of entering or updating information into a database or other data storage system. 

This process typically involves the use of specialized software applications or tools that allow users to input data quickly and efficiently. 

Chatbots can be programmed to collect data from users via natural language processing, making the process of data entry more seamless and user-friendly.

Personal Digital Assistant

PDA (Personal Digital Assistant) refers to a handheld device that can be used to manage and access data. 

PDAs can be used for a wide range of applications, including data retrieval and entry, communication and productivity.

In a chatbot context, PDAs can be integrated with chatbots to provide users with on-the-go access to information and other data-related features.


Infoset and Datamarks

This feature allows businesses to collect and analyse customer data to gain insights into customer behaviour and preferences. Infoset and Datamarks capture data from various sources, including website visits, search queries, and social media interactions. 

This data is then analysed to identify trends and patterns that can be used to improve the shopping experience for customers. Infosets and datamarks enable businesses to personalise the shopping experience for customers, making it more engaging and relevant.

Peer-to-Peer Interaction

BOT Commerce also provides peer-to-peer (P2P) interaction capabilities. This feature enables customers to interact with each other, sharing information and providing feedback on products and services. P2P interaction allows customers to build a community around the products they love, increasing customer loyalty and engagement. This feature also enables businesses to gain insights into customer behavior and preferences, helping them to improve their products and services continually.

Preferences and History

BOT Commerce allows businesses to capture customer preferences and history, making it easy to personalize the shopping experience for customers.

This feature enables businesses to track customer behavior and make targeted product recommendations based on their preferences and past purchases.

Preferences and history also enable businesses to offer personalized promotions and discounts, increasing customer loyalty and engagement.

DMS Integration

BOT Commerce integrates with document management systems (DMS), providing businesses with a central location to manage all their documents related to the shopping experience. This feature allows businesses to manage all their documents, including invoices, receipts and purchase orders, in a single location, making it easy to access and share documents with stakeholders. DMS integration also ensures that documents are secure and can only be accessed by authorized personnel.

Third-Party Communication Channels (RC)

BOT Commerce also provides integration with third-party communication channels (RC), allowing businesses to communicate with their customers via multiple channels, including SMS, email and social media. This feature enables businesses to provide timely and relevant information to customers, increasing engagement and loyalty. Third-party communication channels also provide businesses with a way to manage customer interactions across multiple channels, making it easy to track and respond to customer inquiries

We have a dedicated team ready to help you find a solution

Let's Innovate Together