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AI-Powered Sentiment Analysis Platform for Hospitality Industry
  1. case
  2. AI-Powered Sentiment Analysis Platform for Hospitality Industry

AI-Powered Sentiment Analysis Platform for Hospitality Industry

yslingshot.com
Hospitality & leisure
Food & Beverage
Healthcare

Challenges

Workrede's customers in industries like restaurants and healthcare facilities face difficulties in understanding employee sentiment and identifying potential communication issues from conversational data. They need a way to proactively identify problematic tones, emotions, and confusion within the workplace to improve overall communication and employee satisfaction.

About the Client

Workrede is a communication platform provider offering app-based solutions for non-desk workplaces, aiming to improve internal communication and employee experience.

Objectives

  • Develop and deploy an AI-powered sentiment analysis platform.
  • Enable Workrede customers to gain actionable insights from employee conversations.
  • Identify patterns of negative sentiment, frustration, or confusion.
  • Improve communication strategies and address potential issues proactively.
  • Enhance employee experience and improve overall workplace morale.

Functional Requirements

  • Sentiment analysis (positive, negative, neutral).
  • Emotion detection (e.g., joy, anger, sadness, frustration).
  • Confusion detection (identification of unclear or ambiguous language).
  • Industry-specific sentiment models (trained on hospitality, healthcare, and potentially other verticals).
  • Real-time or near real-time analysis of conversations.
  • Dashboard and reporting capabilities to visualize sentiment trends.
  • Alerting system to notify administrators of significant negative sentiment or potential issues.
  • Ability to filter and search conversations based on keywords, dates, and employee groups.

Preferred Technologies

TensorFlow
Machine Learning
Natural Language Processing (NLP)

Integrations Required

  • Workrede's existing communication platform API.
  • Potentially integration with HR systems for employee data.

Non-Functional Requirements

  • Scalability to handle large volumes of conversational data.
  • High accuracy and reliability of sentiment analysis.
  • Data security and privacy compliance (e.g., GDPR).
  • Performance: Low latency for real-time analysis.
  • Maintainability and ease of updates.

Expected Business Impact

This project is expected to significantly improve Workrede's value proposition by providing customers with valuable data-driven insights into employee sentiment. This will enable customers to proactively address communication issues, improve employee morale, and ultimately enhance their overall workplace environment. The platform will also position Workrede as a leader in AI-powered workplace solutions, opening up new market opportunities.

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