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Overview
This project introduces a comprehensive reporting tool to meticulously analyze customer support agencies and representatives within the real estate domain. The tool incorporates a range of features, including statistical insights into generated leads, calls, and missed opportunities for each support representative. Additionally, an AI-powered module assesses sales quality by comparing it against a base script.
Challenges
Inadequate Customer Support Evaluation:
- Real estate lacks tools for comprehensive assessment of support agencies and agents.
- Monitoring interactions and lead quality is challenging without systematic analysis.
Sales Quality Assessment Complexity:
- Evaluating agent adherence to scripts is time-consuming and complex.
- Manual methods don’t provide accurate insights into sales effectiveness.
Missed Opportunities and Data Inaccuracy:
- Unclear insights into missed leads and sales inefficiencies.
- Incomplete or inaccurate call data hampers meaningful analysis.
Solution
Robust Reporting Tool:
- Create a tool for precise analysis of support performance, lead generation, and missed opportunities.
AI-Driven Sales Evaluation:
- Develop AI module to assess sales quality by comparing with base script using NLP.
- Analyze calls’ context and adherence to scripted conversations.
Optimized Insights:
- Utilize AI and call data to pinpoint missed opportunities and refine sales strategies.
Development Process
Research
Planning
Designing
Development
Maintenance
Tools/Technologies
Team & Role
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Create a tool for precise analysis of support performance, lead
generation, and missed opportunities