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CASE STUDY

Real-Time Analytics Dashboard for Retail Excellence

How we built a powerful real-time analytics dashboard that transformed a retail company's decision-making process and improved inventory accuracy by 40%.

Project Overview

A mid-sized retail company with 15 locations was struggling with outdated reporting systems that required manual data collection and analysis. Their leadership team needed hours to compile sales reports, inventory levels, and performance metrics. We partnered with them to build a comprehensive real-time analytics dashboard that automated data collection and visualization.

The Challenge

Slow Reporting Process

Data from multiple locations took 2-3 days to compile manually, delaying critical business decisions and inventory adjustments.

Manual Data Analysis

Teams spent hours in spreadsheets trying to identify trends, often missing opportunities or reacting too late to issues.

Data Inconsistency

Different teams used different methods to track metrics, leading to conflicting reports and confusion.

Limited Visibility

No real-time view of inventory levels across locations, causing stockouts and overstock situations.

Our Solution

Real-Time Data Integration

We built a centralized backend system using Node.js and Express that automatically synced data from all point-of-sale systems, inventory databases, and e-commerce platforms every 5 minutes.

  • Automated data collection from 15 retail locations
  • MongoDB database for fast queries and scalability
  • RESTful APIs for third-party integrations
  • Real-time WebSocket connections for instant updates

Interactive Dashboard Interface

Using React and Next.js, we created an intuitive dashboard with customizable widgets, interactive charts, and drill-down capabilities for detailed analysis.

  • Customizable KPI cards and widgets
  • Interactive charts using Chart.js and Recharts
  • Responsive design for desktop and mobile access
  • Role-based access control for different user levels

Smart Alerts & Notifications

Automated alert system that notifies managers of critical events like low inventory, unusual sales patterns, or performance anomalies.

  • Email and SMS notifications for critical alerts
  • Customizable threshold settings per location
  • Predictive alerts based on historical trends
  • Daily/weekly automated report delivery

Impact & Results

40%

Faster decision-making process

95%

Improved data accuracy

60%

Reduction in stockouts

15hrs

Saved per week on reporting

Technologies Used

Frontend

React, Next.js, TypeScript

Charts

Chart.js, Recharts

Backend

Node.js, Express

Database

MongoDB

Real-time

Socket.io, WebSockets

Styling

Tailwind CSS

Deployment

Vercel, AWS

Auth

JWT, OAuth

Client Feedback

"The dashboard has completely transformed how we run our business. What used to take us days now happens in real-time. We can make data-driven decisions instantly, and our inventory management has never been better."

— Sarah Johnson, COO at Retail Excellence Inc.

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