Migrate Algo to Web App

@ZohaibRoy

⭐⭐⭐⭐⭐ Build a Scalable Hotel Revenue Management Web Application ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project needs and see you're looking for a partner to convert your Hotel Revenue Management System from Google Sheets to a secure web app. Look no further; Zohaib is here to help you! My team has successfully completed over 50 similar projects, ensuring we deliver the best results. I will analyze your current setup, refine the architecture, and ensure a smooth transition to a web-based solution. ➡️ Why Me? I can easily develop your web application as I have 5 years of experience in web development, specializing in backend logic, database design, and frontend development. My expertise includes building scalable applications, ensuring security, and providing excellent user experiences. I also have a strong grip on deployment processes and cloud services. ➡️ Let's have a quick chat to discuss your project in detail. I’d love to showcase samples of my previous work. Looking forward to chatting with you! ➡️ Skills & Experience: ✅ Web Development ✅ Backend Logic ✅ Database Design ✅ Frontend Development ✅ Cloud Deployment ✅ Security Best Practices ✅ Data Migration ✅ User Interface Design ✅ Algorithm Implementation ✅ Agile Methodologies ✅ SQL Databases ✅ Communication Skills Waiting for your response! Best Regards, Zohaib

@irsolutions

I understand that you are looking for a technical partner to convert your Hotel Revenue Management System from a Google Sheets prototype into a fully functional web application. Your project requires expertise in dynamic rate engine algorithms, competitor rate shopping, inventory and booking management, and dashboarding features. I have extensive experience in backend development, database design, communication, and security to meet your requirements. In the past, I successfully migrated a complex spreadsheet tool into a web application for a financial services client. The main challenge I faced was ensuring the accuracy and integrity of the data logic during the migration process. By carefully reviewing the existing formulas and logic, I was able to successfully transfer the functionality into a secure and scalable web application. I am confident that I can help you professionalize your RMS into a real web application that meets your needs. Let's collaborate and build a solution that maximizes your system's potential. Feel free to reach out to discuss further details or ask any questions.

@OutsourceMan

⭐⭐⭐⭐⭐ Thank you for sharing your detailed project requirements. CnELIndia, led by Raman Ladhani, can help transform your Hotel RMS from Google Sheets into a secure, scalable web application. We will start with a thorough audit of your existing Sheets and Apps Scripts to fully understand your dynamic rate engine, competitor rate logic, and inventory management. Based on this, we’ll propose a tech stack leveraging Python/Django for backend, React.js for frontend, and PostgreSQL for structured, time-series data. We’ll handle migration from Sheets/CSV, implement an Excel-like grid UI with interactive dashboards, and ensure secure logins and IP protection. Our team will guide deployment on AWS or DigitalOcean, including SSL setup and domain configuration. In a previous project, we migrated a hotel forecasting spreadsheet to a web app, addressing complex formulas and data velocity inconsistencies through normalized database design and modular algorithms, ensuring both performance and accuracy. We adopt an iterative, consultative approach, providing proactive recommendations at each step.

@stevegtdbz

Hello! I am a senior web developer using MEAN Stack. Can provide a reliable, scalable solution with best practices. Please open a chat to share previous similar work and discuss further, thanks!

@softsolution2000

I have successfully migrated a complex spreadsheet tool into a web app before, facing challenges in data logic by ensuring seamless transition of intricate algorithms. My expertise in Web Security, Web Scraping, Django, Amazon Web Services, and PostgreSQL align perfectly with your project requirements. The budget can be adjusted after discussing the full scope, and I am committed to delivering within your constraints. Let's initiate this project and achieve outstanding results together. Please review my profile for a comprehensive overview of my 15 years of experience. Let's discuss the job details and get started right away.

@vishal1145

Your RMS migration will fail if we treat this like a standard CRUD app. Revenue algorithms with velocity calculations and competitor rate ingestion require real-time data pipelines, not just database tables. Most developers will copy your formulas into Python without understanding why they'll break at scale. Before architecting the solution, I need clarity on two things: What's your current data refresh cycle for competitor rates - are we scraping hourly or pulling from an API? And what's the expected transaction volume - are we processing 50 bookings per day or 5,000? Here's the architectural approach: - DJANGO + CELERY: Build async task queues to handle competitor rate scraping without blocking your UI. This prevents timeouts when ingesting data from multiple hotel sites simultaneously. - POSTGRESQL + TIMESCALEDB: Structure your historical pace data as time-series tables with automatic partitioning. This lets you query 12 months of occupancy trends in under 500ms instead of waiting 30 seconds like Sheets does now. - REACT + AG-GRID: Replicate your Excel-style "Rate Central" interface with cell-level editing, conditional formatting, and keyboard navigation. I've built similar dashboards for 2 SaaS clients where users refused to leave spreadsheets. - AWS LAMBDA + EVENTBRIDGE: Schedule your rate calculation engine to run every 15 minutes without provisioning servers. Scales automatically during peak booking periods. - OAUTH2 + ROW-LEVEL SECURITY: Implement hotel-specific data isolation so multi-property clients can't see each other's rates, even if they share the same database. I migrated a financial forecasting tool last year that had 47 interconnected Google Sheets with circular references and custom scripts. The biggest challenge wasn't the formulas - it was discovering the hidden business logic buried in cell comments and manual overrides. We spent 2 weeks just documenting edge cases before writing code. I don't take on projects where the requirements are unclear. Let's schedule a 30-minute screen share where you walk me through your current Sheets setup, and I'll identify which calculations will need rearchitecting versus direct translation. I'll also audit your App Scripts to spot any rate-limiting issues with Google's quotas that could be causing silent failures.

@DeyaaAhmed

Hi, Migrating a complex RMS from Sheets to a proper web app is right up my alley. As a Django specialist, I’ve done this exact transition before: I took a manual property tracking sheet with heavy formula logic and turned it into a secure PostgreSQL-backed platform. The trickiest part was preserving the nuanced calculation logic during the move, but by auditing the scripts first, we ended up with a faster, more reliable system. I’m not just looking to code tasks; I want to be the technical partner you described. I’ll review your current algorithms, suggest the best stack (likely Django + React for that Excel-like grid), and handle the full AWS deployment and security setup. I’m happy to sign an NDA immediately and work iteratively as we refine the features together. Let's discuss the project in more details.

@kuldeepvk

Hi, I have 10 years of experience and knowledge as system administrator setup and management of different Linux Web Hosting Servers, AWS servers,Cloud Servers, GPU Servers, Server Monitoring, Server Security, Server Optimisation, Mailing Servers, Email Marketing, SSL, DNS, Apache, Nginx, etc with Cpanel, Plesk, Virtualmin or other panels. Services such as cPanel/WHM, Plesk, Virtualmin LAMP Stack, Tomcat, MySQL/MariaDB, Zimbra, Postfix mail server, Mailenable, smarter mail, MS SQL,AWS , etc. Please discuss to start. Thank you

@kamran2012

Hello, I will migrate your Hotel Revenue Management System from Google Sheets and Apps Script into a production web application, covering the dynamic rate engine (velocity, momentum, pace algorithms), competitor rate shopping with CompSet comparison, inventory and booking visualization, and a Rate Central dashboard that mirrors your current grid-based workflow. For the data migration, I will first audit every Apps Script function and map it to equivalent server-side logic, then run both systems in parallel on historical data to verify the web app produces identical rate calculations before cutting over. Questions: 1) How many properties and room types will the system manage at launch? 2) Where does your competitor rate data currently come from - manual entry, a rate shopping API, or scraping? 3) Do you have a preferred hosting provider, or should I recommend one based on your data volume? Send me a message and we can go over the details. Best regards, Kamran

@maximg10

⭐Hey, I’m ready to assist you right away!⭐ I believe I’d be a great fit for your project since I have a track record of successfully migrating complex spreadsheet tools into functional web applications. With a strong background in backend logic and database design, I can ensure a seamless transition of your Hotel Revenue Management System into a secure and scalable web application. My experience in managing dynamic rate engines, competitor rate shopping, inventory, and booking management align perfectly with your project requirements.

@Microlent

Hello! This is exactly the kind of transition I specialize in — taking a complex spreadsheet-driven engine and turning it into a secure, scalable web application. Relevant Experience I previously migrated a pricing & forecasting tool built in Excel + VBA (with nested pace/velocity logic and scenario triggers) into a production SaaS platform. The biggest challenges were: • Untangling implicit spreadsheet dependencies (hidden cell relationships, circular references) • Converting “stateful” sheet logic into stateless backend services • Preserving calculation accuracy during database normalization • Rebuilding grid-style UX without losing power-user flexibility We solved it by separating the calculation engine from the UI and building a service-layer architecture. Proposed Architecture Backend • Python (FastAPI or Django) — ideal for algorithm-heavy logic • PostgreSQL (time-series optimized structure) • Background workers (Celery / Redis) for rate recalculation Frontend • React + AG Grid (Excel-like “Rate Central” interface) • Secure authentication + role controls Infrastructure • AWS or DigitalOcean • Dockerized deployment • SSL + environment isolation Happy to sign NDA and review code. Best regards, Jasmin

@alizain721

Hello, I understand you are looking to convert your fully functional Hotel Revenue Management System from Google Sheets and Apps Scripts into a secure, scalable, web-based application, and you want a consultative, long-term technical partner for this process. In a previous project, I migrated a complex financial planning tool from Google Sheets to a web app. The main challenges were handling nested formulas and conditional calculations that depended on historical data, which required careful mapping into Python functions and optimized database queries. We also had to ensure the frontend could display large datasets efficiently without lag, which we solved by using virtualized grids and asynchronous data loading. My approach begins with a thorough review and audit of your current Google Sheets logic, including Velocity, Pace, Rate Triggers, and competitor rate shopping algorithms. For the architecture, I would recommend a Python/Django backend with React frontend, or alternatively Node.js with React, depending on your preference for flexibility and scalability. Your data would be migrated from Sheets/CSV into a PostgreSQL or MySQL database, designed to handle time-series data for historical rates, booking logs, and competitor comparisons efficiently. Let’s schedule a call and discuss this project in detail, and then I can start preparing a detailed estimation sheet for you. Regards, A Zain!

@youssefahmed99

Hi! I specialize in converting complex Google Sheets prototypes into professional, scalable web architectures. I am currently finalizing a similar system orchestrating regional data from Sheets into AWS, making me uniquely qualified to bridge the gap between your App Script logic and a production-grade web app. Challenge Answer: I recently migrated a financial suite from Sheets to a Node.js/PostgreSQL stack. The main challenge was Data-Type Divergence. Sheets allow loose data, but SQL requires strict schemas. I built a validation layer (using Zod) to sanitize legacy data, preventing pricing algorithms from crashing due to "NaN" values or velocity drifts. I also used virtualized rendering to ensure the "Excel-style" UI handles thousands of rate cells with sub-100ms latency. My Approach: Architecture: A Middleware-First system (Node.js/TypeScript) with PostgreSQL for your time-series pace data. Security: Robust JWT-based authentication to protect your proprietary rate engines. Strategic Partner: I don't just "code"; I'll audit your Apps Script to optimize logic, moving slow spreadsheet calculations into high-performance backend handlers. I’m ready to sign the NDA and start the audit immediately. Shall we discuss your velocity momentum triggers?

@techsty2014

Hello, I can transform your Hotel RMS from a Google Sheets prototype into a secure, scalable web application. With experience in migrating complex spreadsheet tools, I ensure your algorithms and database structure are professionally integrated into a web app using a suitable tech stack like Python/Django or Node/React. I'll also manage database migration to PostgreSQL or MySQL and build a user-friendly interface for grid-based data visualization. A time I migrated a complex tool involved unraveling intricate formulas into backend logic, ensuring data accuracy while enhancing scalability. The main challenge was maintaining functionality integrity, which I overcame with thorough testing and agile iteration. Questions: • Have you considered specific UI/UX improvements for your dashboard? • Do you have a preference for deployment platforms like AWS or Vercel? Looking forward to being your consultative partner and guiding you through this transformation. Thanks and best regards, Faizan

@arbu1499

Hi, I’ve previously migrated a complex financial forecasting model from Google Sheets (with layered Apps Script triggers and volatile formulas) into a production web app built on Django + PostgreSQL. The biggest challenge wasn’t the UI—it was translating implicit spreadsheet logic (circular dependencies, hidden helper columns, pace/velocity calculations tied to sheet events) into deterministic backend services. We had to formalize every trigger into structured services, normalize time-series data properly, and separate calculation engines from presentation logic to make it scalable and secure. For your RMS, I’d propose a PostgreSQL-backed architecture (strong for time-series booking/rate history), with a Python (FastAPI/Django) or Node backend handling the dynamic rate engine as modular services, and a React-based grid interface (AG-Grid-style) to preserve your “Rate Central” spreadsheet feel—but with proper authentication, role control, and audit logging. I can audit your .gs files, map velocity/pace logic into structured services, and guide full deployment (AWS/DigitalOcean/Vercel) including SSL, security hardening, and NDA-compliant handling of proprietary algorithms. I’m comfortable working iteratively and consultatively—challenging assumptions, refining architecture as logic evolves, and ensuring your intellectual property is fully protected and production-ready. Looking forward for your positive response in the chatbox. Best Regards, Arbaz T

@dataspro

Nice to meet you , It is a pleasure to communicate with you. My name is Anthony Muñoz, I am the lead engineer for DSPro IT agency and I would like to offer you my professional services. I have more than 10 years of working as a Backend and Software developer, I have successfully completed numerous jobs similar to yours therefore, and after carefully reading the requirements of your project, I consider this job to be suitable to my area of knowledge and skills. I would love to work together to make this project a reality. I greatly appreciate the time provided and I remain pending for any questions or comments. Feel free to contact me. Greetings

@nin1

Greetings, I've successfully transitioned a complex spreadsheet tool into a robust web app, addressing challenges in data normalization and achieving seamless functionality. I propose employing Python/Django for backend efficiency and React for a dynamic frontend. Let's connect to explore how I can enhance your RMS migration with a scalable solution. Best regards,

@natanr28

THIS BID MESSAGE WAS WRITTEN 100% BY HAND SPECIFICALLY FOR YOUR PROJECT. You need a hands-on technical partner to transform your fully functional hotel RMS from Google Sheets and Apps Script into a robust, secure, browser-based web application, all while guiding architectural and hosting decisions. I have directly migrated complex, logic-rich Apps Script spreadsheet systems into scalable web apps—most recently converting a multi-tab yield management tool for a vacation rental group, where challenges included preserving intricate, interlinked formulas and reimagining them as API endpoints, as well as ensuring data accuracy and performance post-migration. My approach would start with a detailed audit of your current logic and formulas, followed by proposing a suitable architecture tailored to iterative development and evolving requirements. After planning migration strategy and database design, I'd build out a modular frontend that enhances your current "Rate Central" workflow and ensures secure, accessible deployment. I'd like to have a chat with you at least so I can demonstrate my abilities and prove that I'm the best fit for this project. Warm regards, Natan.

@salajka

Hello! I am excited about this project — I have been working with Google Sheets and Apps Script for 10+ years and have built several complex, formula-heavy systems that function exactly like a "database inside a Sheet." For this Hotel RMS migration, my approach: 1. First, I will deeply review your existing Apps Script logic — rate engine, CompSet, inventory tracking, and Rate Central dashboards — to fully understand every algorithm before writing a single line of code. 2. I will build a clean backend API (Node.js or Django) that mirrors your current Sheet logic, with PostgreSQL as the proper database layer. 3. The frontend will replicate the familiar grid-style Rate Central view your team already knows, built in React.js, so adoption is seamless. 4. Hosting and deployment on your preferred platform (Vercel, DigitalOcean, or AWS) — I will guide this entirely. 5. Iterative delivery: I will share working prototypes at each milestone and actively ask clarifying questions like "Should this rate trigger fire on an event or on a schedule?" — I am a consultative partner, not just a task-taker. I have previously built automated Sheets systems for a fitness centre, a real estate firm, and a food trading business — all involving complex logic that I later scaled into web apps. My question for you: Does your current Apps Script already have the CompSet competitor data ingestion automated, or is that step currently manual? This will help me plan the integration architecture.