Unified Review Aggregator & Smart Response System (URAS)

Job Description:

We are seeking a skilled developer/team to create a Unified Review Aggregator & Smart Response System (URAS). This tool should serve the purpose of efficiently tracking and responding to hotel reviews across multiple platforms. The system should combine advanced features like tone detection, AI-driven response suggestions, and a streamlined process for posting responses with quality control (QC) approval.

Key Features of URAS:
Unified Dashboard:

Centralized platform to track reviews from various sources (e.g., Google, TripAdvisor, Booking.com, Yelp, etc.).

Capability to sort and filter reviews by date, rating, sentiment, platform, and more.

Tone Detection:

Advanced natural language processing (NLP) to auto-detect the tone of each review (positive, negative, neutral, or mixed).

Provide insights into customer sentiment, including urgency or potential areas of concern.

AI-Powered Response Suggestions:

Automatically generate personalized responses to reviews based on the tone and content of the review.

Responses should sound natural, empathetic, and professional, matching the brand's voice.

Suggestions should be customizable and adaptable to various hotel types (e.g., luxury, boutique, budget).

Quality Control Approval Process:

Implement a QC approval system to ensure responses are reviewed and approved by staff before being posted.

User interface for team members to approve or modify AI-generated responses.

Review Analytics & Reporting:

Generate reports on review trends, sentiment analysis, and performance metrics.

Dashboards to track response times and overall review sentiment improvement.

Skills Required:
Expertise in AI/ML/NLP for tone detection and natural language generation.

Experience with API integration to connect and pull reviews from multiple hotel review platforms.

Frontend and Backend Development (Web-based interface, cloud storage, database integration).

Familiarity with Quality Control systems to implement approval workflows.

Strong experience with data security and privacy (for sensitive customer data).

Proven track record in developing customer service tools or similar review management systems.

Project Scope:
Full-stack development of the URAS platform.

AI model training and fine-tuning for accurate tone detection and response suggestions.

Integration with popular review platforms (Google, TripAdvisor, Booking.com, etc.).

Customizable approval workflows and user interface for easy review management.

Ongoing maintenance and support post-launch.

Desired Deliverables:
Fully functional URAS platform with all key features.

Documentation for the platform's use and management.

Support for deployment and maintenance.

Budget:
This is a fixed-price project, and we’re open to discussing your rate based on experience and estimated timeline.

Timeline:
We’re aiming for a 6-8 week development cycle for initial MVP (Minimum Viable Product) launch, with potential for long-term collaboration for future updates and improvements.

To Apply:
Please provide:

A brief overview of your relevant experience.

Examples of similar projects you've worked on (preferably in AI, review management, or customer service tools).

Your approach to integrating tone detection and AI-driven responses.

Estimated timeline and cost.

We look forward to working with you to develop a cutting-edge solution for hotel review management!