AI in Travel
Analyzing Your Excel Spreadsheets with NotebookLM


Image by Editor | ChatGPT
# Introduction
NotebookLM is a powerful AI tool launched by Google. It is designed to augment analytical capabilities through advanced natural language processing and insightful summarizations. One of its most fascinating applications is the ability to generate insights, summaries, and even audio overviews from documents. While NotebookLM does not directly support Excel (.xlsx) files, you can easily export your Excel data to compatible formats like PDF or TXT for analysis.
This tutorial will show you how to analyze your Excel spreadsheets with NotebookLM.
# Step 1: Preparing and Exporting Excel Spreadsheets
Let’s consider a quarterly business report with data on sales, expenses, profit, and customer satisfaction scores across different regions and product categories. The goal is to analyze this data to track performance and identify trends.
To analyze this data using NotebookLM, export your spreadsheet:
- Go to the File tab > select Save As > select PDF/TXT from the file type dropdown, and click Save.
- A PDF will retain visual formatting, while a TXT file ensures pure text-based data suitable for detailed textual analysis.
Ensure that exported files have clean headers, accurate numerical data, and consistent formatting.
# Step 2: Uploading Data to NotebookLM
After exporting the spreadsheet into a suitable format (PDF or TXT), open NotebookLM in your browser.
- Select Upload File > choose your exported PDF or TXT file
- Click Open
NotebookLM will rapidly scan and digest the content of your data, preparing it for interactive querying.
# Step 3: Analyzing Data with NotebookLM
Once you upload the file, NotebookLM automatically generates a summary, allowing you to begin exploring your spreadsheet data.
NotebookLM also suggests relevant questions. You can either type your own question or select one of the automatically generated prompts to begin your analysis.
As you interact with the tool, it suggests new prompts, guiding you toward deeper insights.
Regional Insights:
Let’s identify high-performing regions or products through natural language queries such as:
Which region had the highest sales in Q2?
What product showed the greatest profitability increase?
NotebookLM Response:
“To determine which product showed the greatest profitability increase, we will compare the change in profit from Q1 to Q4 for each product category.
Here is the profitability increase for each product:
- Laptop (North Region)
- Q1 Profit: $35,000
- Q4 Profit: $60,000
- Profit Increase: $60,000 – $35,000 = $25,000
- Smartphone (South Region)
- Q1 Profit: $35,000
- Q4 Profit: $45,000
- Profit Increase: $45,000 – $35,000 = $10,000
- Tablet (East Region)
- Q1 Profit: $20,000
- Q4 Profit: $30,000
- Profit Increase: $30,000 – $20,000 = $10,000
- Accessories (West Region)
- Q1 Profit: $15,000
- Q4 Profit: $25,000
- Profit Increase: $25,000 – $15,000 = $10,000
Based on these calculations, the Laptop in the North Region showed the greatest profitability increase, with its profit growing by $25,000 from Q1 to Q4. This product also consistently held the highest profit figures throughout the year, as noted in our previous conversation about overall profit [Conversation History]”.
NotebookLM first provides detailed calculations and then presents the final answer. This is particularly useful for users who want to see the underlying analysis, not just the conclusion. This level of detail can be very helpful for stakeholders who need to grasp the key insights from quarterly sales data.
Customer Insights:
To understand customer behavior, you can use the following prompt.
What’s the average customer satisfaction score?
NotebookLM Response:
“To calculate the average customer satisfaction score, we need to sum all the individual customer satisfaction scores provided in the sources and then divide by the total number of scores.
Here are the customer satisfaction scores for each product, region, and quarter:
- Laptop (North Region) Q1: 88%
- Smartphone (South Region) Q1: 85%
- Tablet (East Region) Q1: 80%
- Accessories (West Region) Q1: 90%
- Laptop (North Region) Q2: 87%
- Smartphone (South Region) Q2: 83%
- Tablet (East Region) Q2: 82%
- Accessories (West Region) Q2: 89%
- Laptop (North Region) Q3: 89%
- Smartphone (South Region) Q3: 84%
- Tablet (East Region) Q3: 81%
- Accessories (West Region) Q3: 91%
- Laptop (North Region) Q4: 90%
- Smartphone (South Region) Q4: 86%
- Tablet (East Region) Q4: 83%
- Accessories (West Region) Q4: 92%
Summing these scores: 88 + 85 + 80 + 90 + 87 + 83 + 82 + 89 + 89 + 84 + 81 + 91 + 90 + 86 + 83 + 92 = 1380
There are 16 individual customer satisfaction scores recorded across all products and quarters.
Now, divide the total sum by the number of scores: 1380 / 16 = 86.25
Therefore, the average customer satisfaction score is 86.25%“.
NotebookLM’s detailed response validates the result automatically, ensuring its accuracy.
# Step 4: Creating an Audio Overview
One interesting feature of NotebookLM is its ability to generate audio overviews of uploaded content. It can convert textual summaries into audio overviews, making it easy to absorb information:
- You can use the “Audio Overview” option in NotebookLM.
- Or to create a customized audio summary, simply prompt NotebookLM with: “Provide an audio overview summarizing key trends from this quarterly data”.
NotebookLM will generate an audio file that you can download. This file concisely summarizes essential insights, making it ideal for presentations or executive briefings. You can also stream the audio overview, which facilitates easy review during commutes or meetings.
# Step 5: Visualizing Insights with Mind Maps
NotebookLM also offers mind maps, which are a great way to visualize relationships and key points extracted from your data.
- In NotebookLM, you can click “Mind map”.
- Or prompt the system clearly: “Generate a mind map summarizing relationships and insights into the quarterly sales data”.
- Once the Mind Map is created, it opens from the right-side bar.
- It automatically considers primary insights as central nodes, branching into detailed points such as regional sales performance, product profitability, and customer satisfaction trends.
- You can customize the mind map by dragging nodes, adding notes, or highlighting significant insights.
This mind map visually highlights connections between products, regions, performance metrics, and customer satisfaction, allowing for easy interpretation and communication of complex information. This visual representation also aids memory retention and clarifies complex data relationships.
# Step 6: Making Strategic Decisions Using NotebookLM Insights
After exploring and analyzing the data with NotebookLM, you’ll be equipped with actionable insights that can guide decision-making.
For instance, if the analysis shows growing sales but shrinking profit margins for a product, this might indicate the need to review pricing strategies or supply chain efficiencies.
Alternatively, if customer satisfaction remains consistently high in a certain region, you can apply that region’s customer service practices in low-performing regions.
# Conclusion
You can leverage NotebookLM to analyze your Excel spreadsheets. Though NotebookLM does not yet directly accept Excel spreadsheet files, exporting data to PDF or plain text easily bridges that gap. It provides a powerful means to uncover actionable insights easily and efficiently. Whether generating concise audio summaries or detailed mind maps, NotebookLM transforms how you engage with data, streamlining analysis and decision-making processes.
Shamima Sultana works as a Project Manager at ExcelDemy, where she does research on Microsoft Excel and writes articles related to her work. Shamima holds a BSc in Computer Science and Engineering and has a great interest in research and development. Shamima loves to learn new things, and is trying to provide enriched quality content regarding Excel, while always trying to gather knowledge from various sources and making innovative solutions.
AI in Travel
New York City Launches New AI Travel Guide

Travelers heading to New York City now have one more tool in their arsenal to help them experience the city, an AI chat platform called Libby, short for Liberty.
The new AI tool, available on New York City Tourism + Conventions’ website on the lower right-hand side, along with the city’s official Instagram and WhatsApp, is available in 60 different languages and will provide quick answers to any travel or tourism-related questions about the city.
The responses travelers receive are personalized with extensive data from the tourism organization.
“We’re pleased to unveil Libby, the official AI chat platform for exploring New York City,” says Julie Coker, president and CEO of New York City Tourism + Conventions. “As we gear up for America 250 celebrations and the 2026 FIFA World Cup, we’re proud to offer this free, innovative tool in 60 languages that empowers global visitors to craft unique itineraries and discover unforgettable experiences across all five boroughs.”
New York City will also promote Libby at 4,000+ LinkNYC screens at transit stops. Libby was created in partnership with GuideGeek AI technology from Matador Network.
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Topics From This Article to Explore
AI in Travel
A New AI Travel Genius for Visitors Powered by GuideGeek

NEW YORK, Aug. 5, 2025 /PRNewswire/ — Travelers visiting New York City can now rely on Libby, an AI travel genius that provides instant responses to any travel or tourism questions about the five boroughs in 60 languages. Libby is an initiative of New York City Tourism + Conventions, the official destination marketing organization and convention and visitors bureau for the five boroughs of New York City, and leverages GuideGeek artificial intelligence technology from Matador Network.
“We’re pleased to unveil Libby, the official AI chat platform for exploring New York City,” says Julie Coker, president and CEO of New York City Tourism + Conventions. “As we gear up for America 250 celebrations and the 2026 FIFA World Cup, we’re proud to offer this free, innovative tool in 60 languages that empowers global visitors to craft unique itineraries and discover unforgettable experiences across all five boroughs.”
Libby, short for Liberty, assists visitors, or locals exploring another borough, with tailored travel tips and itineraries, connecting people to local businesses, attractions and cultural experiences. The personalized, real-time responses are generated by AI trained on extensive data from NYC Tourism, coupled with over 1,000 integrations for travel information from GuideGeek’s award-winning technology.
The launch of Libby follows the success of Ellis, the first meetings and conventions planning artificial intelligence chat platform created for business event professionals, launched by NYC Tourism and GuideGeek earlier this year. The tool doubled traffic to NYC Tourism’s meeting website within the first month. Libby provides a broader consumer tool for travelers of all sorts.
“It is absolutely impossible to do or see everything in New York City, even if you visit often or live there,” says Matador Network CEO Ross Borden. “Libby helps visitors and those exploring a new corner of the city instantly find restaurants, activities and hidden gems that really align with their interests and preferences.”
To access Libby, travelers can visit nyctourism.com and click the chat icon in the bottom-right corner. They can also connect with the AI on WhatsApp or Instagram to ask questions and receive tips on the go while exploring the city. In addition, 4,000-plus LinkNYC screens at transit stops will promote the AI to visitors and locals.
About New York City Tourism + Conventions
New York City Tourism + Conventions is the official destination marketing organization (DMO) and convention and visitors bureau (CVB) for the five boroughs of New York City. Our mission is to invite the world and energize the City, building equitable, sustainable economic prosperity and community through tourism for the mutual benefit of residents, businesses and visitors. For all there is to do and see in New York City, visit nyctourism.com.
About Matador Network
Matador Network is the world’s No. 1 media brand for modern adventurers and creator of the award-winning AI travel genius GuideGeek. With more than 16 million followers across social media, Matador has become a leading travel brand through its production of article features, city guides, creator-first content and original videos. Matador is the top-ranking travel brand on TikTok and its videos are viewed more than 140 million times per month. It has content distribution deals with destinations throughout the world and major brands in the travel industry and beyond. matadornetwork.com
Media Contact:
Jason Simms
860-526-1555
[email protected]
SOURCE Matador Network
AI in Travel
Delta denies using AI to personalise ticket prices after political backlash

The American airline has assured U.S. lawmakers that it will not use artificial intelligence to personalise airfares based on passengers’ personal data, following public backlash and criticism from both sides of the political spectrum in Congress.
The controversy was reignited last month when Delta President Glen Hauenstein informed investors that around 3% of the airline’s ticket prices are currently determined by AI – triple the proportion from nine months ago – and that the company intends for 20% of its fares to be AI-driven by the end of 2025. Hauenstein had previously spoken of plans to ‘fully reengineer’ fare-setting practices, with the long-term goal of eliminating static pricing altogether. Hauenstein suggested that this AI-based system could predict how much customers would be willing to pay for premium services. This has raised concerns that personalised pricing could replace the traditional dynamic pricing model.
The start up Fetcherr, who partners with Delta Airlines, has a new AI program that will make airline pricing swing wildly from one moment to the next.
The program is so complex that it will “go beyond human cognitive limits,” reports Max Chafkin https://t.co/NsJad2jhp0 pic.twitter.com/qa3j0XtTxD
— Bloomberg TV (@BloombergTV) August 4, 2025
This statement was condemned across the political spectrum, as well as by the public and other figures in the aviation industry. American Airlines CEO Robert Isom warned that such practices were ‘un-American’ and would damage consumer trust. He stated: “This is not about bait and switch. This is not about tricking”.
In response to these concerns, Delta’s EVP and Chief External Affairs Officer, Peter Carter, wrote to senators on Friday. He clarified that the company’s ticket pricing “never takes into account personal data” and that the letter presupposes that “we are using, and intend to use, AI for ‘individualised’ pricing… That is incorrect.” He stated that there is “no fare product that Delta has ever used, is testing, or plans to use that targets customers with individualised prices based on personal data”.
Delta’s AI pricing is threatening personal privacy & consumers. Putting profits over people, Delta’s AI algorithm uses personal information to tailor pricing up to an individual’s specific pain point—lining the airline’s pockets at the consumer’s expense. pic.twitter.com/FwLv0tNAp8
— Richard Blumenthal (@SenBlumenthal) July 29, 2025
How Delta is using AI
Delta explained that it is evaluating an AI-based revenue management technology developed by Fetcherr, an AI pricing company. This tool is intended to be a decision-support tool for analysts, not an automated pricing system to “oversee and fine-tune the recommendations to ensure they are consistent with [the airline’s] business strategy”. According to the company, the technology will support analysts in their pricing tasks by reducing manual processes, forecasting demand and aggregating purchasing data, adapting it to market conditions as necessary. Delta also assured lawmakers that no personal information is shared with Fetcherr.
Despite these reassurances, some lawmakers remained unconvinced and requested more information on Delta’s AI usage.
Senator Ruben Gallego accused Delta of being two-faced and of sending mixed messages to investors and the public. Yet, he conceded that “if Delta is in fact using aggregated instead of individualised data, that is welcome news”.
Dynamic pricing and new legislation
The airline emphasised its prices are determined by “dynamics and vigorous competition”, a reference to the practice of dynamic pricing used for decades by the industry.
Under this model, fares fluctuate based on factors such as availability, customer demand, fuel prices, and market competition, not consumers’ personal information. The airline underlined that this is a key distinction from individualised pricing.
Last week, Democratic representatives Greg Casar and Rashida Tlaib introduced a new legislative proposal, the Stop Price Gouging the Poor Act, which aims to ban all companies from using AI to set prices based on a buyer’s wages and personal data. The representatives described such practices as economic discrimination and said they were likely to deepen inequalities.
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