Marketing & Reputation SaaS

Review - Customer Feedback & Reputation Manager

Customer review aggregation and sentiment analysis platform consolidating feedback from Google Reviews, Yelp, and social media.

01 Overview

Customer review aggregation and sentiment analysis platform consolidating feedback from Google Reviews, Yelp, and social media.

Scope of delivery

Built Django web application using NLTK natural language processing for automated customer sentiment scoring.

02 Business Challenge

Customer review aggregation and sentiment analysis platform consolidating feedback from Google Reviews, Yelp, and social media.

03 Our Solution

Built Django web application using NLTK natural language processing for automated customer sentiment scoring.

Engineering approach

Integrated Google Business and Yelp APIs to aggregate customer reviews into a single management console.

04 Design Thinking

Scope reviewArchitecture mappingBuildLaunch

05 Technical Architecture

Architecture summary: Integrated Google Business and Yelp APIs to aggregate customer reviews into a single management console.

06 Technology Stack

PythonDjangoPostgreSQLReact.jsNLTK / VADER AI

07 Development Timeline

Delivered through structured phases - discovery, design, build, integration, and launch - with iterative releases and ongoing enhancements across a marketing & reputation saas delivery.

08 UI Screens / Key Features Showcase

09 Before vs After

Before

Manual, disconnected workflows and limited visibility across operations.

After

An integrated, automated marketing & reputation saas solution with a unified experience, stronger controls and measurable efficiency.

10 Performance Metrics

99.9%System SLA
< 90msResponse Time
High EfficiencyClient Impact

11 Business Outcomes

Outcomes available on request.

12 Testimonial & Connect

Project delivered by the Dogra Technologies engineering team.

Interested in a similar solution?

Request Architecture Brief View Full Portfolio