Natural Language Query Engine for Instant AI Answers

Ask questions in plain language and receive structured insights

Natural Language Processing Power

ANDI's NLP Query Engine allows users to ask questions in plain language and receive structured insights. No more complex query languages or technical jargon. Simply type or speak your question, and ANDI will understand what you're asking and provide clear, actionable answers.

Key Capabilities

Conversational Interface - Ask follow-up questions and refine your queries naturally, as if you were speaking with a human analyst.

Business Language Translation - ANDI understands business terminology and translates it into precise data queries behind the scenes.

Context Awareness - The system remembers previous questions and maintains context throughout your conversation.

Multi-Intent Recognition - ANDI can understand complex questions that involve multiple data points or comparisons.

Technical Implementation

The NLP Query Engine is built on advanced language models and specialized for business intelligence queries. It includes:

  • LLM/NLP model hosting (using fine-tuned models optimized for business queries)
  • Natural language parser that breaks down complex questions
  • Query translator that converts natural language to structured data queries
  • Analytics layer integration that connects to your existing data sources
  • Continuous learning from user interactions to improve accuracy over time

Example Queries

Query:

"Why did our customer acquisition cost increase last quarter?"

ANDI's Response:

"CAC increased by 23% last quarter primarily due to three factors: (1) Higher ad spend on underperforming channels (+35% on social media with -5% conversion rate), (2) Seasonal competition driving up PPC costs (+18% YoY), and (3) Longer sales cycles for enterprise deals (avg. +12 days). I recommend reallocating budget from social to email campaigns which showed 2.3x better ROI."

Query:

"Which customers are at risk of churning in the next 30 days?"

ANDI's Response:

"I've identified 14 high-risk accounts with >65% churn probability. Top factors include: declining product usage (-42% MoM), support ticket increases (+3 critical issues), and missed renewal discussions. The accounts represent $283K in ARR. Would you like to see the detailed list with recommended retention actions?"