Custom Trustpilot Review Management Platform (AI-assisted)

@Herculesz

Hi, I’m excited about the opportunity to help you build a custom Trustpilot review management platform with AI-assisted workflows. With extensive experience in backend development and AI integrations, I can create a robust, production-grade solution that centralizes your Trustpilot reviews, improves response quality, and scales efficiently. The platform will integrate with the Trustpilot Service Reviews API to fetch reviews from multiple business units, draft and approve replies with AI assistance, and ensure that replies are published in the correct local language. I recommend using FastAPI for the backend due to its high performance and scalability. I’ll integrate OpenAI API (or Azure OpenAI) for AI-assisted replies, with a controlled process for translation and local language publishing. The frontend will be built using React for a responsive and easy-to-navigate admin dashboard, with metrics to measure AI quality and provide insights into team performance. PostgreSQL will be used for the database to handle review storage and reporting. Celery (or BullMQ) will be used for background tasks, such as AI processing and data syncing. This solution will be built with a focus on clean architecture, security, and maintainability. I’ll ensure that you can manage and improve the platform independently after delivery. Thanks, Hercules

@teodorgeorge

Hello, I can build a robust custom Trustpilot review management platform tailored to your needs. With experience in backend development using Python and FastAPI, integrating third-party APIs like Trustpilot and OpenAI AI services, I will ensure your team can centrally manage reviews, draft AI-assisted replies in English, and publish localized replies efficiently. The platform will include a clean architecture with secure API handling, and a dashboard offering key metrics to measure and improve AI output quality. I focus on building scalable and maintainable internal tools with clear workflows for approval and signature management per market rules. The use of PostgreSQL for data management, background jobs, and React for the admin interface will provide a stable and extensible solution ready for growth. Thanks, Teo

@Feriver

Hello, I understand you’re looking for a production-grade internal Trustpilot review management platform that centralizes multi-market reviews, enforces a controlled approval workflow, and uses AI strictly for drafting (English) plus localization into the review’s native language. I have experience building API-heavy internal tools with clean architecture, strong auditability, and admin dashboards where quality metrics drive continuous process improvement. I will implement Trustpilot Service Reviews API ingestion for multiple business units, store reviews in PostgreSQL for history and rate-limit safety, and publish replies via the API (including the delete/repost pattern). The workflow will be deterministic: AI generates an English draft → user edits/approves → AI localizes → only localized text is published. Signatures/closings will be rule-based per market (no manual typing), with secure credential handling, logging, retries, and background jobs for sync/publishing. The dashboard will track reply volume, approval-without-edits %, light/heavy edit ratios, average edit time, and trends with filters (date, market, rating). The system will store AI draft vs final, edit level, prompt versions, and examples so you can compare prompt iterations without “model training.” Delivered Dockerized with migrations, docs, and a clear foundation for Phase 2 expansion. Thanks Asif

@hitech10

Hi, I am interested to hear more about the project, and if you award me the project, I’d be pleased to discuss this further and get started as soon as possible. I clearly understand that this is a production-grade internal platform, not a no-code automation, with strict control over AI usage, language accuracy, and long-term scalability. If you have reference systems or existing Trustpilot setups, please share them for accurate analysis and estimation. Short Functional Roadmap (Development to Deployment): Discovery & Architecture: Review Trustpilot API scope, market rules, signature logic, and AI control requirements. Finalize stack (FastAPI/NestJS, PostgreSQL, React, OpenAI/Azure OpenAI) with clean separation of services. Phase 1 – Core Build: Implement Trustpilot review ingestion for multiple business units, local database storage, and secure reply publishing flow. Build AI-assisted workflow where drafts are generated in English, manually approved, then localized and published in the original language. Workflow Controls: Configure per-market signatures, approval states, edit tracking (none/light/heavy), and prompt versioning. Dashboard & Metrics: Develop React admin dashboard with filters, trends, and AI-quality KPIs. Testing & Deployment: Validate API limits, error handling, logging, and Docker-based deployment. Once finalized, I’ll create a detailed roadmap outlining clear deliverables and expectations. Best regards, Prakash.

@munibs1

Hello, I understand what client wants: a production-grade internal platform to centralise Trustpilot reviews across multiple markets, control and improve reply quality, and use AI in a strictly governed way—not chatbots or uncontrolled automation, but a measurable, auditable workflow that scales long-term. This is exactly the kind of system I build. How I’d approach it - Integrate the Trustpilot Service Reviews API to ingest and store reviews from multiple business units safely - Build a review → AI draft → human approval → local-language publish workflow, where: - AI drafts in English only - Humans approve/edit in English - AI translates/localises for final publication - Implement market-based signatures and closings automatically (no manual typing) - Track AI draft vs final reply, edit depth, approval time, and prompt versions to objectively measure AI quality - Deliver a clean React admin dashboard with filters, trends, and core metrics you listed Tech stack (proposed) - Backend: FastAPI (Python) or NestJS (Node) - DB: PostgreSQL - Jobs: Celery / BullMQ - Frontend: React - AI: OpenAI or Azure OpenAI - Fully Dockerised, cloud-ready I’m comfortable owning this end-to-end, thinking in workflows (not just endpoints), and continuing post-MVP as the system evolves. Best regards, Munib S.

@sasaprogramer21

Hi, I’ve carefully reviewed your requirements and understand this is a long-term, production-grade internal platform—not a no-code or experimental automation. I can build a robust Trustpilot review management system that centralises reviews across multiple business units, enforces correct language and signature rules per market, and uses AI strictly as a controlled drafting and translation service. The system will fetch and store reviews via the Trustpilot API, generate English-only AI drafts for internal review, track edits and approvals, translate approved replies into the correct local language, and publish them safely back to Trustpilot. I would use a clean, modular architecture (FastAPI or NestJS + PostgreSQL, background workers, React admin dashboard) with full auditability, metrics on AI quality (edit levels, approval rates, timing), prompt versioning, and secure credential handling. The platform will be Dockerised, extensible, and designed to scale to additional markets and features over time. I have strong experience building API-heavy internal tools and AI-assisted workflows where human control and maintainability are critical, and I’m available for ongoing improvements after MVP delivery. Thanks.

@zhens2

I design and build production-grade internal platforms that integrate third-party APIs and controlled AI workflows, with a strong focus on auditability, metrics, and long-term maintainability. For this project, I’d propose a clean, modular architecture using FastAPI + PostgreSQL, background workers for Trustpilot sync and publishing, and a React admin dashboard for review handling, approvals, and analytics. Reviews would be persisted locally with full history, rate-limit safety, and clear separation between AI drafts, human edits, and published replies. AI usage would be strictly controlled: draft generation in English only, human approval gates, prompt versioning, and post-approval localisation before publishing. All edits would be tracked to support quality metrics and continuous prompt improvement—without any autonomous model retraining. I have experience building API-heavy systems, multi-market workflows, and AI-assisted tools where governance and metrics matter. I think in systems, not just endpoints. Estimated MVP: 3weeks Available for long-term iteration, optimisation, and feature expansion post-MVP.

@jovani81

Hi, I can build your production‑grade Trustpilot review platform with FastAPI/Node, PostgreSQL, React, and OpenAI/Azure OpenAI. I previously delivered an AI‑assisted support reply system aggregating multi‑brand reviews; the key challenges were safe API usage, language consistency, and measurable AI quality. I solved this with queued fetch/publish jobs, prompt‑versioned draft vs final storage, edit‑level metrics, and a clean, role‑based dashboard.

@kamransiyal9

HI! I am an expert web programmer. I have a lot of work experience in Laravel, Codeigniter, PHP, Wordpress, JavaScript, HTML, Vuejs, Reactjs, React Native, and MySQL. I can start right away. I want to discuss this project in detail. Please contact me to discuss more regarding this project. For more details Chat with me

@juanjosec63

Hello, I’m excited about the opportunity to build this Trustpilot review management platform, as it aligns closely with systems I’ve delivered that combine third-party APIs, controlled AI workflows, and internal approval processes. I’m comfortable designing a clean, extensible architecture where Trustpilot ingestion, AI drafting, human approval, localisation, and publishing are clearly separated and auditable, ensuring long-term maintainability rather than a quick automation hack. Using FastAPI or NestJS with PostgreSQL and background workers, I can implement the AI draft vs approved tracking you described so reply quality can be measured and improved through prompt iteration rather than uncontrolled retraining. I have hands-on experience integrating OpenAI/Azure OpenAI in tightly governed workflows and building admin dashboards that surface meaningful operational metrics. I can deliver a solid MVP in phases and remain available to evolve the system as new markets and review platforms are added. Best regards, Juan

@piyushg200

⚠️ If you’re not happy, you don’t pay ⚠️ Hello, As a Senior Web Developer, guaranteeing client satisfaction is non-negotiable. My extensive experience in developing AI-assisted systems, like the custom Trustpilot platform you seek, assures you of top-notch quality. For your project, I propose utilizing FastAPI in Python for backend, React for the admin dashboard, and integrating OpenAI for AI services. This stack ensures robustness and scalability. In a recent project, I implemented a similar AI-driven system for customer feedback consolidation, significantly improving response efficiency. This real-world example showcases my capacity to deliver results aligned with your goals. Here’s a summary of the roadmap: 1. Audit and setup 2. Core development 3. Testing and final deployment Could you clarify the preferred AI learning strategy - prompt improvements or example-based learning? Best regards, Piyush Gupta Senior Web Developer | AI Expert

@Techroj

Dear Client, Greetings!! I have gone throough the project description, and found that all of the mentioned requirements fall over my expertise, as I have hands on experience on python, AI/ML, Data Science, software building, etc. Project Details €250.00 – 750.00 EUR Bidding ends in 6 days, 11 hours Custom Trustpilot Review Management Platforrm (AI-assisted) Background We operrate multiple websites across different markets and receive Trustpilot reviews in several local languages. Wee are looking to build a custom, internal web application to centralise review handling, improve response quality, and enable controlled use of AI for drafting and translating replies.. This is not a no code or Zapierr Make project. We are explicitly looking for a stable, extensible, productiongrade solution.. Project Goal Build an internal platform that allows our team to: • Collect Trustpilot reviews froom multiple business unitss • Draft and approve replies efficiently • Ensure replies are always published in the correct local language • Measure reply quality and continuously improve AI output • Scale to additional markets and features over time Project tackle I have been coding on Machine Learning and Data Science with python from past 7 years. I have the experience of working with 4 giant tech companies, including freelancing on upwork, fiverr and freelancer. Hope to hear from you soon!!. Regards, Rojan Up.

@domenicod7

✨✨✨✨✨ I AM DOMENICOD ✨✨✨✨✨ I will architect a battle-tested, AI-driven Trustpilot powerhouse that ingests multi-market reviews, drafts, translates, and publishes flawless replies—turning chaos into precision. Using FastAPI/NestJS, PostgreSQL, Celery/BullMQ, and OpenAI/Azure, I’ll build a secure, fully auditable pipeline with real-time metrics, versioned prompts, and controlled AI output. React admin dashboard will put approval, analytics, and KPI tracking at your fingertips. Every line engineered for scalability, reliability, and zero compromise—production-grade, not prototype.

@douglasfullstack

I can build your custom AI-assisted Trustpilot Review Management Platform, ensuring a stable and scalable solution tailored to your needs. I understand you want to streamline review collection, improve response quality with AI assistance in drafting and translating, and maintain control and scalability for multiple business units and languages. My approach involves using Python and Node.js to develop robust backend services, integrating directly with the Trustpilot Service Reviews API to fetch reviews reliably. I will design a clean, extensible database schema to manage reviews and replies efficiently, and implement an admin interface that allows your team to draft, approve, translate, and publish responses with ease. I will prioritize clean, maintainable code to make future scaling and feature additions straightforward. The platform will include metrics for reply quality and AI performance tracking to help continuously optimize outputs. Could you share if you have specific AI models or translation services in mind, or should I suggest best-in-class options? Also, would you prefer deployment support as part of this project?

@tonyc00

Hello I can deliver a Dockerised, cloud-ready Trustpilot review management platform with multi–business unit ingestion via the Service Reviews API, local persistence in PostgreSQL for history and rate-limit safety, and reliable reply publishing through the Trustpilot API (including the delete/repost pattern). The workflow will generate an English-only AI draft, keep the human approval step explicit, then translate/localise the final approved reply into the review’s original language and publish only that version, with signatures and closings enforced by configurable market rules so users never type them manually. On the quality side, I’ll store AI draft vs approved final, capture edit level (none/light/heavy) and timing, and support prompt versioning so you can measure whether prompt changes actually improve outcomes. The admin dashboard will include the metrics you listed (publish count, % approved without edits, edit ratios, average edit time) with filters by date range/market/rating and a trend view over time, plus solid logging/error handling and secure credential management. Best, Tony

@AhmadXpert2410

Hi there, This is a well-defined, long-term internal platform, and I’m confident I can architect and build it as a stable, production-grade system rather than a quick prototype. I have strong experience designing API-heavy backend systems, integrating third-party services (including review and content platforms), and building AI-assisted workflows with strict controls using OpenAI/Azure OpenAI—exactly aligned with your requirement for governed, non-chat-based AI usage. For this project, I’d recommend FastAPI (Python) for a clean, scalable backend, PostgreSQL for structured review history and metrics, Celery for background jobs (Trustpilot sync, AI drafts, publishing), and a React-based admin dashboard for approvals, signatures, and analytics. I’m particularly comfortable designing workflows that track AI draft vs final reply, edit levels, prompt versioning, and metrics that genuinely measure AI quality rather than vanity stats. I can deliver a solid Phase 1 MVP covering ingestion, AI drafting, approval flow, localisation, publishing, and core dashboards, with an architecture that cleanly supports Phase 2 expansion. I value maintainable code, clear separation of concerns, and thorough documentation, and I’m available for ongoing improvements and scaling after MVP delivery. Regards, Ahmad

@emilesd617

Hi, I am a full-stack AI developer with 8 years of rich experience in software development, with a strong background in building internal tools and API-driven platforms. I am familiar with HTML, CSS, JavaScript, TypeScript, React, Python (FastAPI), Node.js (NestJS), PostgreSQL, background job systems, Docker, OpenAI / Azure OpenAI, and third-party API integrations. I have hands-on experience designing controlled AI workflows (draft → review → approve → publish), integrating external review APIs, and building admin dashboards with metrics and approval flows. I’m comfortable working with multi-market systems, configurable rules (such as signatures per region), and clean architectures that are stable and extensible for long-term internal use. I'm an individual freelancer and can work in any time zone you prefer. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@chiragardeshna

Hi there, I have reviewed your project titled Custom Trustpilot Review Management Platform (AI-assisted), and I am a strong fit due to my experience building internal, API-driven platforms where AI is used in a controlled, auditable way. I have over 7 years of experience handling backend-heavy systems, including third-party API integrations, workflow-driven admin tools, and AI-assisted services using OpenAI or Azure OpenAI. I regularly design platforms with review ingestion, approval pipelines, prompt versioning, metrics tracking, and background jobs, using FastAPI or NestJS with PostgreSQL and React dashboards. I reduce client risk by separating ingestion, AI drafting, approval, translation, and publishing into clear services, and by logging AI drafts versus final outputs for measurable quality analysis. I focus on maintainable architecture, strict control over AI usage, and configurable market-specific rules such as signatures and localisation. I am available to start immediately. Regards Chirag

@durgesh8527

As a seasoned full-stack software engineer with a specialization in backend development, I firmly embody the ideal profile you're seeking for this sophisticated project. With over 12 years' expertise in creating complex web apps and integrating third-party APIs, I am confident of delivering a stable, extensible solution that meets your needs. My knowledge of languages such as Python (FastAPI) and Node.js (NestJS) aligns perfectly with your preferred stack. Additionally, my experience in working with AI APIs, particularly in leveraging the OpenAI API, would prove valuable in implementing and managing the controlled AI service you seek. In addition to building languages, I'm highly proficient in working with databases such as PostgreSQL and handling background jobs like Celery or BullMQ. Lastly, having created numerous internal tools and admin platforms has helped me develop an exceptional ability to think through systems and workflows. This is critical for your project's success as it highlights my capacity to approach it holistically rather than just focusing on the current requirements. My commitment to meeting deadlines, maintaining quality, adapting to new technologies and offering transparency throughout the development process solidifies me as the reliable and skillful freelancer for the job.