Mobile App
This section provides detailed information on how to use the Mobile App.
Best Practices
Always use corporate email credentials associated with your BDB account.
Log out after using the app on a shared device.
Keep your app updated to ensure compatibility with platform upgrades.
The sign-in process ensures secure and frictionless access to your BDB environment. Once logged in, users can seamlessly navigate between AI Agents and analytics dashboards to access data insights anytime, anywhere.
Interacting with AI Agents
The AI Agent interface within the BDB Mobile App provides a conversational environment for natural-language-based analytics. Each agent acts as a virtual analyst, offering intelligent insights, trend detection, and predictive analytics based on enterprise data.
Overview
AI Agents enable users to interact with their data using simple natural language. These agents leverage pre-trained business intelligence models and machine learning algorithms to provide data-driven responses.
Users can ask questions such as:
“Which product categories are generating higher revenue?”
“What are the top-selling products across all categories?”
“How do our customer segments compare in terms of CLV and churn propensity?”
The responses may include narrative explanations, tables, and visual charts for deeper insights.
Accessing the AI Agent Interface
After logging in, select your desired workspace (e.g., Retail-Analytics).
Choose the AI Agent you wish to interact with, such as Performance Analyst Agent V3.
The AI Agent’s welcome screen will open, introducing its purpose and capabilities.
Asking Questions and Generating Insights
You can interact with the agent using two methods:
Option 1: Tap a Suggested Question
Select from predefined prompts such as:
“Which product categories are generating higher revenue, and what is the total profit margin across those categories?”
The agent immediately generates the relevant analysis.
Option 2: Type or Speak a Custom Query
Tap the input box at the bottom of the screen.
Type your query manually or use the microphone icon for voice input.
Tap the Send (▶) icon to submit your query.
Example Query: “What are the top-selling products in all the above categories?”
Viewing Responses
The AI Agent processes the query and responds to multiple formats:
Each response combines machine learning and BI analytics to produce human-readable, actionable insights.
AI-Generated Summary and Interpretation
At the end of each query response, the agent provides a summarized interpretation of the findings.
Example Summary: “From the analysis, it is evident that LG NanoCell 90 Series is the top-selling product in the Television category with 172,816 units sold. Gogle Pixel Buds lead the Audio and Video category, while Sumsung Solo Microwave dominates the Kitchen Appliances.”
This enables quick understanding of key metrics without requiring manual interpretation.
Best Situations to Use
The AI Agent feature is best suited for:
Business Users requiring on-the-go performance summaries.
CXOs and Executives reviewing KPIs and business trends.
Data Analysts exploring ad-hoc data insights without coding.
Decision Makers who rely on real-time data-driven insights.
Ideal Use Cases:
Instant analytics from enterprise datasets.
Executive summaries with contextual insights.
Cross-functional analysis between sales, marketing, and finance.
Quick mobile access to KPIs, CLV, or churn metrics.
Key Features at a Glance
Feature
Description
Conversational Analytics
Ask data-related questions using plain English for quick insights.
Multi-Modal Output
Receive answers in text, tables, or visual charts.
AI-Powered Summaries
Get automated executive summaries for complex data insights.
Voice Query Support
Interact using voice commands for hands-free analytics.
Personalized Agent Context
Agents are trained to respond to specific business domains (e.g., retail, finance, telecom).
Dynamic Recommendations
Receive suggested questions for guided analytics.
Real-Time Data Access
Insights are generated from the latest synced datasets.
Example Use Case: Retail Performance Analyst Agent
User Query: “What are the top-selling products in all the above categories?”
AI Agent Response: The app displays a structured response including:
Text Summary: Key products and performance observations.
Table Output: Product names, categories, and quantities sold.
Chart Visualization: Graph comparing total sales per product category.
Insight Example: “LG NanoCell 90 Series and Gogle Pixel Buds dominate Television and Audio categories respectively, highlighting brand strength and market demand.”
Summary
The Performance Analyst Agent transforms mobile analytics into an interactive experience. By combining AI-powered conversational analytics, narrative summaries, and visual outputs, the agent bridges the gap between data and business action.
Users can now analyze, interpret, and act on insights — all within a single mobile interface, ensuring real-time decision-making and seamless collaboration across business units.
Universal Access: Multilingual Support
Our agentic interface is designed for global and regional accessibility, ensuring users can interact naturally in their preferred language. The mobile application provides comprehensive support for many prominent world languages, including Spanish, French, and Arabic. Furthermore, to cater specifically to our users in India, we have integrated support for several widely used regional Indian languages, including Hindi, Gujarati, Tamil, Kannada, and Malayalam. This robust multilingual capability allows you to harness the full power of the agentic interface with unparalleled ease and clarity, bridging communication gaps and delivering a truly localized experience.
To facilitate a clear understanding of the platform's functionality, we have incorporated specific practical examples utilizing Hindi and Gujarati.
These demonstrations are intended to provide you with direct insight into the system's operational flow:
how the agentic interface receives your natural language input, processes your complex queries, and generates precise, contextually relevant output in these regional languages.
Reviewing these examples will effectively illustrate the system's native-level proficiency in interpreting and responding to diverse linguistic inputs.
Query in Hindi:
Response in Hindi:
Query in Gujarati:
Response for the Gujarati Query:
Summary of Key Benefits
Capability
Business Impact
AI Agents
Accelerate analytics through conversational intelligence.
Secure Access
Enterprise-grade encryption and identity control.
Real-Time Data Insights
Access updated KPIs and visualizations anytime, anywhere.
Cross-Domain Integration
Unified access to Retail, Finance, Telecom, and Healthcare analytics.
Mobile-Optimized Interface
Intuitive design for on-the-go data exploration.
The BDB Mobile App redefines enterprise mobility for analytics. By integrating AI Agents, secure access, and data visualizations, organizations can transform raw data into actionable intelligence — seamlessly and securely.
Empower your decisions — anytime, anywhere — with BDB Mobile.
Check out the end-to-end workflow of using the Agentic framework on the BDB Mobile App.
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