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

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

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

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

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.

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

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

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

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

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 booking.com.

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

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.

This Machine will generate the company name form summary

Converts JSON data to excel 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 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 rategain by using some filters.

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

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

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

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

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.

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

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.

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.

"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:

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

Password managers are tools designed to securely store and manage your passwords, allowing you to easily access your accounts while ensuring your sensitive data remains protected. They work by encrypting your passwords in a vault, so you only need to remember one master password to access all your other login credentials. Password managers can also generate strong, unique passwords for each of your accounts, reducing the risks associated with weak or reused passwords.

"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)

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

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

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 saves the forecasted data.

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

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

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.

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.