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SaaS

Analytics & Vendor Platform

Vendor management and business analytics platform for retail and hospitality, with cohort analysis and forecasting.

Role

Full Stack Developer

Timeline

2022 — 2024

Stack

React.jsNode.jsExpress.jsAnt DesignMySQLMongoDBAWSReduxRESTful APIsData VisualizationETLBusiness IntelligenceReal-Time Dashboards

Overview

A comprehensive vendor management and business analytics platform designed for data-driven decision making. The platform streamlines vendor onboarding, delivers operational insights through customer journey visualization, and provides actionable analytics including cohort analysis, forecasting, and stock management. Built for retail and hospitality industries to optimize performance and customer relationships.

Architecture & Decisions

Advanced Analytics & Insights Engine

Features a comprehensive actionable insights module tracking top 100 customers, customer retention rates, churn analysis, and cash cows identification. Includes customer cohort analysis with month-over-month metrics, store performance dashboards, and product category analytics. Identifies at-risk customers, discount hunters, and won-back customers for targeted engagement strategies.

Vendor Management & Data Synchronization

Provides intuitive admin panel with role-based access control for managing vendors, users, and permissions. Features automated data synchronization highlighting present, missing, and low-count data across time periods. Includes forecasting and stock management modules, customer journey visualization across multi-source datasets, and real-time performance tracking for operational efficiency.

The Hard Part

Vendor and customer data arrived from multiple disconnected sources. The hard part was reconciling it into one consistent view without losing per-store granularity.

Outcomes

Focus

Retail & hospitality

Insight

Cohort analysis

  • Actionable insights module tracking top customers, retention, and churn
  • Role-based admin panel for vendor and permission management
  • Automated data sync flags missing or low-count data across time periods
  • Forecasting and stock management for operational planning

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