Robotic Framework for Customer Care & Digital Marketing

Guide: Prof. M. A. Rane | Sponsorship: Passion Infotech | AY 2023-24

Painpoint

Manual handling of customer queries and digital marketing campaigns is time-consuming, error-prone, and lacks automation for analytics.

Solution

AI-driven robotic framework automates customer interactions, query resolution, campaign management, and performance reporting.

AI Component

Natural Language Processing (NLP) for chatbot responses, sentiment analysis, recommendation engines for marketing, automated analytics dashboards.

Technical Approach

Chatbot & automation scripts → AI-based response selection → Marketing content recommendation → Dashboard analytics → Feedback & training module.

Input Screens

Customer Query Input

Campaign Creation

Response Template Editor

Sentiment Analyzer

Marketing Recommendations

Training Module

Reports / Dashboards

Effort & Budget Justification

PhaseHoursRate (INR/hr)Subtotal (INR)
Analysis4050020,000
Design6050030,000
Coding / Development16050080,000
Code Review / Testing7050035,000
Deployment / Integration2050010,000
Training5050025,000
Total400-200,000
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