This machine will get the guest list and in house list from email and pass csv text and files on to the next machine.

It seems you might be referring to Net Standard Last Year (LY), which is a common term in the hotel industry (and other industries) used to compare the financial performance or key metrics of the current year with the same period in the previous year. LY (Last Year) is typically used in reports and data analysis to assess growth, trends, and changes.

This machine fetches the guest list and in-house list, processes them with Open AI, and generates a summary report.

This machine fetches the hotel and their competitor rates from the booking.com.

This machine receives input parameters required for S3 authentication, retrieves a file from dependent machine data, and uploads it to the specified S3 bucket. The result is a URL that can be used to access the uploaded file.

This machine fetches the hotel and their competitor rates from the expedia.

TOS POS Daily Closing Machine is responsible for processing daily closing reports from the Point of Sale (POS) system. It handles financial data related to various payment methods and ensures accurate reporting for business reconciliation.

TOS POS Daily Sales Machine is responsible for processing daily sales reports from the Point of Sale (POS) system. It handles financial data related to various payment methods and ensures accurate reporting for business reconciliation.

This machine fetches the hotel and their competitor rates from the rategain by using some filters.

This machine fetches the guest list and in-house list, processes them with Gemini AI, and generates a summary report.

This machine fetches the guest list and in-house list, processes them with Open AI, and generates a summary report.

Annual Summary Overview machine is the fifth machine in workflow for          summarize the occupancy data in table. It’s provide Occupancy, RMS, ADR, Revenue and         same things from the last year.

This machine saves the forecasted data.

Choice PMS Connection machine is the third machine in workflow for       collecting inputes from the user and getting reservation and occupancy reports.

This machine uses a pre-trained model to analyze customer review sentiments based on extracted aspects, identifying positive, negative, or neutral feedback.

Choice PMS Res Standardization machine is the forth machine in workflow for making reservation and occupancy data to standard table structure which are       used for all of the properties.

"On the books by month" data in the hotel industry, specifically about short and long details. In this context, "On the Books" refers to the current reservations or bookings that a hotel has made for upcoming periods. This is an important metric for hotel managers to forecast occupancy and revenue.

Let’s break this down in terms of short-term and long-term bookings and the details that might be provided in such reports:

Password Manager is the first machine in the workflow. It accepts a plain username and password as inputs, securely encrypts them, and provides the encrypted credentials for use by all downstream machines.

This machine retrieves pending requests, and gives available rooms and BAR (Best Available Rate) details for further processing.

• Rateshop, developed by RateGain, is a pricing and revenue management platform designed for the hospitality industry. It helps hotels and other accommodation providers manage and optimize their pricing strategy by offering tools for:
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This machine retrieves pending requests, and gives available rooms and BAR (Best Available Rate) details for further processing.

The ICRMRequestRateshop machine is designed to retrieve all pending requests for further processing.

The SendMailRateshop Machine processes and stores RateShop data and send summary emails

This machine takes Google Service Account credentials to authenticate and access a restricted Google Sheet via a provided link. It then extracts the Google Sheet data, processes it, and converts it into JSON format.

This machine automates the process of delivering generated invoices to clients via Gmail. It retrieves invoice PDFs and client email addresses from the structured JSON data and securely sends the invoices as attachments.

This machine integrates with Google Sheets to convert sheet data into JSON format. It then validates whether all required keys are present in the JSON. If all necessary fields are available, the system proceeds to create an invoice. The invoice is formatted with essential details, including client information, itemized charges, and total amounts. Once generated, it is downloaded and stored in PDF format.

This machine retrieves sentiment-analyzed hotel data and inserts it into a database for further use and analysis.

This Machine will generate the company name form summary

This Rateshop Lighthouse connects to a database, retrieves property information, fetches Lighthouse reports from Outlook, processes rate shop data, and updates the database with the new rate information for further analysis.

Processes company data, structures it for easy access, and provides key information.

Converts JSON data to CSV format and provides the output as base64-encoded string.

The Postgres Connection Machine is a fundamental component within Quantum Datalytica, designed to establish and validate a connection to a Postgres database.

Converts JSON data to CSV format and provides the output as base64-encoded string.

A short email provides a concise message, focusing on the key points without elaboration. This type of email is useful for quick updates, reminders, or requests where only essential information is needed.

This machine uses Selenium to extract hotel URLs from Google and then gathers detailed data, including reviews, information, and ratings from Google and TripAdvisor through an API.

This machine uses Selenium to extract hotel URLs from TripAdvisor and then gathers detailed data, including reviews, information, and ratings from TripAdvisor.

"Total Last Year" (LY) in the context of data or reporting. This phrase is often used in various industries to refer to a comparison between the current year's performance and last year's performance. It can be applied to financial metrics, sales, customer data, or any other key performance indicators (KPIs)

Converts JSON data to excel format and provides the output as base64-encoded string.

The MongoDB Connection Machine is a fundamental component within Quantum Datalytica, designed to establish and validate a connection to a MongoDB database.

The MySQL Connection Machine is a fundamental component within Quantum Datalytica, designed to establish and validate a connection to a MySQL database.

The Microsoft SQL Server Connection Machine is a core component designed to establish and validate a connection to a Microsoft SQL Server database.

Metadata Extractor connects to a database using a connection string and extracts its metadata. It supports multiple database types.

This machine fetches the hotel and their competitor rates from the agoda.

A domain extraction machine that classifies metadata into relevant business domains and subdomains, providing structured categorization for better data organization.

STAAH CM Report Automation automates the process of downloading CM performance reports from the STAAH platform. It leverages browser automation to fetch reports and prepares them for further data processing and analysis.

Axisrooms OTA Report Automation automates the process of downloading OTA performance reports from the Axisrooms platform. It leverages browser automation to fetch reports and prepares them for further data processing and analysis.

golf tee-time data based on user input date.

A service to upload local files to Microsoft OneDrive.

Axisrooms PC Report Automation automates the process of downloading PC performance reports from the Axisrooms platform. It leverages browser automation to fetch reports and prepares them for further data processing and analysis.

This machine enables interaction with any API endpoint using standard HTTP methods. Users can input the API URL, choose the request method (GET, POST, PUT, DELETE), and provide a JSON payload. It simplifies sending structured requests without writing code manually. Ideal for testing, automation, or integration workflows.

Eglobe OTA Report Automation automates the process of downloading OTA performance reports from the Eglobe platform. It leverages browser automation to fetch reports and prepares them for further data processing and analysis.

web scraper for collecting golf tee-time data from Thorntree Golf website.

This machine automates the process of uploading scheduled posts to social media platforms like Google Business, Facebook, and Instagram. It takes input data containing post details, including captions, tags, media URLs, and platform-specific flags. Based on the configuration, it uploads the content to the selected platforms and logs any failures. After processing each post, it updates the schedule status accordingly and returns a summary of the results.

STAAH OTA Report Automation automates the process of downloading OTA performance reports from the STAAH platform. It leverages browser automation to fetch reports and prepares them for further data processing and analysis.

Scrapes doctor data from the US News Health website based on user’s chosen speciality.

This machine automates the creation of social media posts by merging images or videos with design frames and watermarks. It supports both image and video inputs, dynamically resizing and overlaying components based on the user's plan type (free or paid). The processed content is uploaded to AWS S3 and linked back to a scheduling system through API updates. The machine fetches configuration, post data, and watermarks from a remote server, ensuring it's always in sync with backend data.

Eglobe CM Report Automation automates the process of downloading CM performance reports from the Eglobe platform. It leverages browser automation to fetch reports and prepares them for further data processing and analysis.

Scrapes doctor data from Castle Connolly website based on user’s chosen speciality.

Eglobe PC Report Automation automates the process of downloading PC performance reports from the Eglobe platform. It leverages browser automation to fetch reports and prepares them for further data processing and analysis.

This machine retrieves scheduled social media posts for the current day. It first captures today’s date and sends it as a payload to a predefined API. If the API response is successful, it extracts the list of scheduled uploads. Finally, it packages this list as output for the next step in the automation pipeline.

GolfNow Data is an automated web scraping machine that extracts detailed tee time information from GolfNow.com for specific golf courses based on configurable input parameters.

Axisrooms CM Report Automation automates the process of downloading CM performance reports from the Axisrooms platform. It leverages browser automation to fetch reports and prepares them for further data processing and analysis.

A direct MySQL backup tool that streams `.sql` backups and uploads them directly to AWS S3 without storing the file locally.

This machine securely sends input data or output data of dependent machine via email using SMTP. It accepts sender credentials, recipient details, and JSON input, and delivers the data as JSON or auto-generated Excel attachments to the configured mailbox.

Fetches Google Business ratings and reviews, stores them in the database, and performs sentiment analysis to evaluate customer feedback.

This machine retrieves and displays all file names from a specified OneDrive folder using secure Microsoft Graph API access.

Golf GCS Uploader is a data pipeline machine that uploads scraped golf tee time records to Google Cloud Storage (GCS) in NDJSON format, ensuring clean structure, standardized naming, and rich scrape metadata for downstream processing.

TeeOffGolf Extractor Machine automatically fetches and organizes real-time golf tee time availability from the TeeOff website based on user-selected date and location, delivering structured insights for quick decision-making.

This machine validates incoming workflow data and sends it as a JSON webhook to external systems, including a Beeceptor endpoint for monitoring and testing.

This machine forecasts Rooms Sold by closely tracking how bookings build up over time. It uses pickup logic to understand day-by-day changes in reservations, learning from historical booking behavior and current on-the-books data. By observing how demand naturally evolves as arrival dates approach, the machine produces a dependable Rooms Sold Forecast that reflects real booking patterns. This forecast supports informed planning and helps teams anticipate future demand with greater confidence.

This machine uploads JSON or Excel files to Microsoft OneDrive. It accepts raw input data or the output of a dependent machine, converts JSON to Excel when required, and securely stores the final file in the configured OneDrive folder.

This machine takes various user inputs, including numbers, strings, and JSON objects, processes them, and logs the received data. It helps in capturing and displaying structured input for further analysis.