Query ERP Data with TatvaAI

TatvaAI's most powerful feature is its conversational "Ask Anything" interface. There's no form to fill out or filter to select — a user simply types a question in plain language, and TatvaAI returns an answer, a chart, and the underlying data table together.

How the Ask Anything Interface Works

When a user opens TatvaAI chat, they're greeted with suggested starter questions organized by topic:

• Sales Orders — "How many open sales orders are there per plant?"
• Customers — "Show me the top 10 customers by total order value"
• Revenue Trend — "Show monthly sales revenue trend for this fiscal year compared to last year"
• Receivables — "Show AR aging — open receivables by bucket (0-30, 31-60, 61-90, 90+)"

These starter questions help new users understand what kinds of questions TatvaAI can answer.

Asking Your Own Custom Question

Users can type directly into the field — guided by a placeholder such as "Ask about revenue, customers, operations..." A few practical examples:

• "Show quality rejection rate by material this month"
• "Vendor quality performance — rejection rate by vendor"
• "List the batches that failed quality inspection"
• "Top materials by quality rejections this fiscal year"

TatvaAI instantly maps these questions to the relevant module (such as Quality or Production) and returns the data.

Category-Wise Example Questions

TatvaAI also provides an "example questions" panel organized by module — Sales, Finance, Materials, Controlling, Production, Quality, Fraud/Audit, Risk, Recommend, Doc Flow, Profile/360. Each category lists specific example questions, so users know exactly what can be asked in that domain.

This approach makes onboarding much easier for new users — they don't have to guess what the system can answer; the suggestions teach them directly.

Data Preview and "View Data" Option

When TatvaAI returns an answer, a small data preview (such as "24 rows") is also shown, so users can immediately inspect the underlying raw data — not just the summary. This transparency is valuable for business users who want to verify numbers themselves.

The Follow-Up Question Flow

After every response, TatvaAI shows "You might also ask" suggestions, letting the conversation flow naturally — for example, after viewing a revenue trend, a suggested follow-up might be "Which customers contributed most to revenue growth?"

FAQ

Q 1. What is the Ask Anything feature?

It's TatvaAI's natural-language chat interface for querying ERP data.

Q 2. Are starter questions customizable?

They come pre-organized by module with suggested example questions.

Q 3. Can I see the raw data behind an answer?

Yes, the "View data" option shows the underlying rows.

Q 4. How do follow-up questions work?

Each answer includes relevant "you might also ask" suggestions.

Q 5. Do questions need to be in technical language?

No, natural, conversational phrasing works fine.