Customer Service

CustomerCare processes over 50K customer support tickets monthly. Their manual support team was overwhelmed, response times were slow, and operational costs were unsustainable at 40% of revenue.

Client

CustomerCare

Product

Platform

Service

Engineering

Engagement

2023

Client Overview

Problem & Challenges

Business Problems

    Technical Challenges

      Objectives & Success Criteria

      Our Objectives

      Cost Efficiency

      Reduce support costs by 50%+ while maintaining quality

      Response Speed

      Reduce average response time from hours to seconds

      Quality

      Maintain 95%+ customer satisfaction despite automation

      Scalability

      Handle 100K+ tickets monthly without additional headcount

      Success Criteria

      Our Solution

      We built an AI-powered system using GPT-4 API with custom context injection and safety guardrails that handled 70% of routine requests. The system learns from feedback and improves continuously.

      Implementation & Delivery

      Scope of Work

        Technology Stack

        Node.jsNode.js
        PythonPython
        O
        OpenAI API
        RedisRedis
        PostgreSQLPostgreSQL
        ReactReact

        Results & Impact

        60%

        Cost Reduction

        95%

        Customer Satisfaction

        70%

        Automation Rate

        <30s

        Response Time

        Product Showcase

        AI-Powered Customer Service Automation - Image 1
        1 / 3

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