Introduction to BotKu
At ORENCloud and Astiostech, we are excited to introduce our latest AI-powered chatbot solution, BotKu. BotKu is designed to revolutionize customer engagement by providing efficient, intelligent, and seamless communication with your clients. Built on top of the latest advancements in AI technology, BotKu is fully integrated with your existing infrastructure, leveraging PostgreSQL for robust data storage, handling thousands of chat records, and providing actionable insights through powerful reporting capabilities.
This blog will walk you through BotKu’s capabilities, its underlying architecture, and how it can empower your business with insightful reports and dashboards.
BotKu’s Capabilities
1. Intelligent Customer Interaction: BotKu is designed to handle a wide range of customer inquiries with minimal human intervention. Leveraging OpenAI’s GPT-4o-mini model and custom embeddings, it understands the nuances of customer questions and delivers accurate responses. BotKu can seamlessly handle FAQs, troubleshoot issues, provide product information, and more—all in real-time.
2. Robust Data Storage with PostgreSQL: The data that flows through BotKu is stored in an enterprise-grade PostgreSQL database. The architecture is optimized for scalability, capable of storing years of chat history, customer interactions, and chat transcripts efficiently. This is crucial for auditing, reporting, and compliance.
3. Advanced Text Analysis & Reporting: BotKu not only answers queries but also collects valuable data that can be analyzed for business intelligence. By leveraging natural language processing (NLP) and text embeddings, BotKu can extract insights, identify trends, and deliver actionable recommendations.
4. Scalability & Customization: BotKu is designed with scalability in mind. Whether you are a startup with hundreds of customer inquiries or a large enterprise dealing with thousands, BotKu scales effortlessly to meet your needs. Its modular architecture also allows easy customization to match your specific business requirements.
Database Design for Chat Data
To support long-term storage and analysis, BotKu uses a well-structured PostgreSQL database. The database is optimized to handle millions of chat records, allowing businesses to extract insights, generate reports, and create dashboards that help drive strategic decisions.
Here’s a high-level overview of the database schema designed for BotKu:
Table: chat_records
| Column | Data Type | Description |
|---|---|---|
id | SERIAL | Unique identifier for each chat record |
bot_id | VARCHAR(50) | Bot instance identifier |
session_id | VARCHAR(100) | Unique session identifier for the chat |
user_id | VARCHAR(50) | Identifier for the customer |
message | TEXT | Chat message content |
message_type | VARCHAR(10) | Type of message (user or bot) |
timestamp | TIMESTAMP | Timestamp of the message |
embedding | VECTOR(1536) | AI embedding of the message content |
sentiment | VARCHAR(20) | Sentiment analysis result (positive, neutral, negative) |
metadata | JSONB | Additional metadata such as channel, device info |
Table: session_summary
| Column | Data Type | Description |
|---|---|---|
session_id | VARCHAR(100) | Unique identifier for each session |
bot_id | VARCHAR(50) | Bot instance identifier |
user_id | VARCHAR(50) | Identifier for the customer |
total_messages | INT | Total messages exchanged in the session |
resolution_time | INTERVAL | Total time taken to resolve the session |
satisfaction_score | INT | Customer satisfaction score |
tags | JSONB | Tags related to the conversation |
created_at | TIMESTAMP | When the session started |
Reporting and Dashboard Capabilities
One of BotKu’s standout features is its reporting and dashboard functionality. These reports empower businesses to make data-driven decisions by providing insights into customer interactions.
Reports and Dashboards that we can generate/develop:
Customer Interaction Analysis:
- Total number of chats handled by BotKu over time.
- Breakdown of chats by hour, day, or month to identify peak times.
- Average response time and resolution time per session.
- Most frequently asked questions or topics.
Sentiment Analysis Dashboard:
- Sentiment distribution (positive, negative, neutral) across chat sessions.
- Trend analysis of customer sentiment over time.
- Drill-down reports to identify sessions with negative sentiment for follow-up.
Agent Performance Reports:
- Bot vs. human agent response time comparison.
- Handoff rate to human agents.
- Evaluation of chatbot’s accuracy in resolving queries without escalation.
Customer Satisfaction Metrics:
- Analysis of customer satisfaction scores from post-chat surveys.
- Correlation between resolution time and satisfaction scores.
- Identification of key factors leading to high or low satisfaction.
Operational Efficiency:
- Number of chats handled per agent or department.
- Identification of bottlenecks in chat handling.
- Report on sessions that exceed the average resolution time.
Channel Analysis:
- Breakdown of chat sessions by channel (WhatsApp, Telegram, Web, etc.).
- Device and browser usage statistics.
- Analysis of customer engagement across different platforms.
Predictive Analytics and Trends:
- Forecasting customer inquiries based on historical data.
- Seasonal trends in customer support queries.
- Automated suggestions for optimizing chat responses based on trends.
Suggestions for Further Enhancements
While BotKu is already a powerful tool, there are always ways to push the boundaries:
Integration with CRM Systems:
- Sync customer chat history with your CRM for a 360-degree view.
- Automated updates to customer profiles based on chat interactions.
Real-Time Monitoring:
- Implement live dashboards to monitor ongoing chat sessions.
- Alert systems for escalations or potential service issues.
Proactive Customer Support:
- Use AI to predict when customers might need help and proactively engage them.
- Implement chat triggers based on user behavior on your website or app.
AI-Driven Insights:
- Use NLP to extract product feedback or pain points from customer conversations.
- Continuous improvement of BotKu’s responses through machine learning.
Conclusion
BotKu by ORENCloud and Astiostech is not just a chatbot; it’s a comprehensive customer engagement platform designed to transform the way you interact with your customers. By combining AI-driven chat capabilities with robust reporting, BotKu enables businesses to streamline their operations, boost customer satisfaction, and make data-driven decisions.
Whether you are looking to enhance customer support, streamline operations, or gain deeper insights into your customer interactions, BotKu is the solution you’ve been waiting for.
Ready to Transform Your Customer Experience? Contact us at ORENCloud and Astiostech to learn more about how BotKu can revolutionize your customer engagement strategy.
