Convert Your CSV Data Into Smart AI Assistants

Stop wasting time digging through spreadsheets. Let Thinkstack AI Agents extract insights, analyze trends, and simplify decisions—all using your CSV data.

Extract Value From Your Data Across Business Functions

Extract Value From Your Data Across Business Functions.

sales

Deliver Better Customer Experiences

‌complex-technical-support
sales

Empower Your Team With Insights

‌complex-technical-support

Give Your Legacy Data a New Purpose

Don’t let valuable historical data sit unused. Thinkstack AI Agents turn archived CSV files into insights that drive better decisions

analyze

Ask and analyze

Spot patterns and trends by training your AI Agent on structured data.

confidence

Plan with confidence

Combine past and current data to create accurate forecasts, like predicting seasonal demand based on sales history.

Train Your AI Agent in Minutes

It’s simple to get started:

01

Prepare your CSV file

02

Upload it to Thinkstack

03

Train your AI Agent

04

Start receiving insights

See the step-by-step visual guide

Stop Letting Data Gather Dust 

Let Thinkstack AI Agents transform your spreadsheets into decisions that drive growth.

tick-marks

Save time with quick answers.

tick-marks

Reduce manual errors in analysis.

tick-marks

Empower your team to make smarter, faster choices.

Frequently asked questions

minus-circle plus.svg

What are the prerequisites for training a chatbot using a CSV file?

Ensure your CSV file is formatted correctly with column names containing only letters, numbers, and underscores (no spaces). The file should not exceed 5000 rows and 20 columns.

minus-circle plus.svg

What Are Knowledge Base Characters?

Errors usually happen if the CSV file does not meet the required formatting standards. Make sure the column names contain only letters/numbers and underscores without any spaces, and ensure the file has no more than 5000 rows and 20 columns. If you still face issues after following these guidelines, please write to us at contact@thinkstack.ai for further assistance.

minus-circle plus.svg

What happens during the training process with a CSV file?

After uploading your CSV, the chatbot begins training. A validation window will show your file's column names, descriptions, and sample values. You can review and edit the auto-generated descriptions for accuracy before finalizing the training

minus-circle plus.svg

Why should I review and refine column descriptions during training?

Providing clear and accurate column descriptions improves the chatbot's understanding of the data, allowing it to generate more precise and context-aware responses.

minus-circle plus.svg

How can I verify if the chatbot is trained correctly with CSV data?

Once training is complete, test your chatbot by asking questions that mimic applying filters and analyzing data in your CSV file. Cross-check the chatbot's responses with the data in the CSV file to ensure accuracy of the response.

minus-circle plus.svg

What types of CSV files can I use to train my chatbot?

You can use CSV files like sales data, customer information, product catalogs, event schedules, employee records, or inventory data. These files should be relevant to your brand and formatted correctly to ensure accurate training and responses.

minus-circle plus.svg

Can I train my chatbot with multiple CSV files at once?

No, you can upload one CSV file at a time for training. To include additional data, you can update and retrain the chatbot with a new CSV file.

minus-circle plus.svg

Will my chatbot automatically update if I modify the original CSV file?

No, modifications to the original CSV file will not reflect in the chatbot automatically. You need to re-upload the updated file and retrain the chatbot.

minus-circle plus.svg

What Q&A I should add to train the chatbot?

Sometimes, users might ask a question that the chatbot cannot answer. To address this, observe such questions and add them as a Question with appropriate responses Here are some types of Q&A you can include:

Frequently Asked Questions (FAQs): Add common queries that users are likely to ask.

Specific Business Information: Product details, policies, or services, ongoing offers, and benefits.

Customer Support Scenarios: Provide responses to common issues or complaints to assist users effectively.

minus-circle plus.svg

What should I do if the chatbot gives incorrect answers?

Use the "Chats" section to access the chat history, revise the chatbot’s incorrect responses, and save the corrected response as a Q&A for future use.

minus-circle plus.svg

Can I configure Q&A responses as clickable suggestions?

Yes, you can set specific Q&A responses to appear as suggestion prompts, allowing users to get answers with a single click.

minus-circle plus.svg

Can I train the chatbot with the Notion Document URL?

No, you cannot directly train the chatbot with a Notion document URL. However, we offer Notion integration; you can connect your Notion account and select specific pages or databases for training.