AI-Powered
Sentiment
& Summary Engine for Traction DK
From raw data to refined insights. AI-powered clarity for faster, smarter decisions.
About Project
Traction DK, a leading CRM provider for recreational vehicle dealerships, partnered with HubexTech to develop an AI-powered conversation intelligence module. The objective: transform raw customer-agent interactions into actionable insights while ensuring data privacy and compliance.
The resulting solution is a fully automated, multilingual (English/French) system for sentiment analysis and conversation summarization. Built on Google Cloud using Gemini AI models, the system provides stateless, high-throughput analysis without persisting any user data, allowing real-time decision support for dealership sales and service teams.
Solution Architecture & Scope
Functional Components
Sentiment Analysis Engine
- Gemini-powered module on GCP delivering message-level and overall sentiment scores.
Multilingual Summarization Module
High-Concurrency Job Processor
Secure API Ingestion Layer
Daily Reprocessing System
Security & Compliance
Scope of Work & Key Features
Non-Functional Requirements
Scalable & Fault-Tolerant
- Deployed on managed cloud infrastructure to auto-scale with demand.
Multilingual Summarization Module
Low Latency
Payload Agnostic
Objectives
- Deliver accurate sentiment analysis across agent and customer interactions.
- Generate dual-language conversation summaries (EN/FR).
- Ensure zero data retention through stateless architecture.
- Support 1000+ concurrent jobs via a scalable processing queue.
- Provide a secure ingestion API to integrate seamlessly with Traction DK’s platform.
- Enable daily automated reanalysis of conversations to reflect evolving context.
- Maintain machine-token-based security for all communications.
- Support flexible payload formats and volume scalability.
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