Automated Petrol Station Business Intelligence Dashboard
Budget: ₹1,500 – ₹12,500 INR
Project Title:
Fix Procurement Module & Dashboard Enhancements for Petrol Station BI System
Project Description:
I've already developed an automated Business Intelligence (BI) dashboard for a petrol station, aimed at replacing traditional manual and paper-based tracking systems. However, I'm currently facing issues specifically in the procurement module, and I need a few functional and UI improvements in the dashboard.
I’m looking for an experienced Python (Flask) + Frontend (likely JS/React/HTML) developer who can troubleshoot and fix the procurement logic and help refine dashboard outputs.
Current System Overview:
Traditional petrol stations usually rely on manual tracking for:
Daily fuel sales (MS, HSD, Premium)
Cash vs card collections
Tank inventory levels
Procurement & supply data
Day vs Night shift performance
Solution I’ve Built So Far:
A full-stack automated Petrol Station Business Intelligence Dashboard with modules for:
1. Real-Time Operations Monitoring
Live dashboard for today’s sales, collections, and variance
Shift completion tracking (Day/Night)
Tank level monitoring with refill alerts
Automatic profit/loss variance calculation
2. Business Analytics
Daily/weekly/monthly sales trends by fuel type
Shift-wise performance comparison
Procurement vs sales trend analysis
Manager performance tracking
Fuel efficiency and consumption reports
3. Financial Control
Real-time cash flow tracking
Discrepancy detection in collections
Payment breakdown (Cash, Card, Paytm, HPCL)
HPCL credit management
4. Operational Efficiency
Excel-based procurement import (this part is having issues)
Automated data validation
Manual entry elimination
Standardized daily reports across shifts
What Needs Fixing:
Procurement Module Bug:
Excel import for procurement sometimes fails or doesn’t reflect in the dashboard properly. This needs debugging and stabilization.
Dashboard Corrections:
Minor adjustments to UI or logic based on actual data entered (e.g., proper display of daily procurement vs sales, and correcting the variance calculation).
What I Can Provide:
Access to the current Flask codebase
Frontend files (if needed)
Sample Excel files used for procurement
DB schema or a copy of the SQLite/Postgres DB (if required)
Clear expected logic for procurement and variance
Goals:
Fix procurement errors
Ensure end-to-end procurement-to-dashboard flow works
UI changes on the dashboard
Final test to confirm calculations match expected business logic
If you're confident working with Flask, dashboards, and data import flows, please send a message with examples of similar work.
Fix Procurement Module & Dashboard Enhancements for Petrol Station BI System
Project Description:
I've already developed an automated Business Intelligence (BI) dashboard for a petrol station, aimed at replacing traditional manual and paper-based tracking systems. However, I'm currently facing issues specifically in the procurement module, and I need a few functional and UI improvements in the dashboard.
I’m looking for an experienced Python (Flask) + Frontend (likely JS/React/HTML) developer who can troubleshoot and fix the procurement logic and help refine dashboard outputs.
Current System Overview:
Traditional petrol stations usually rely on manual tracking for:
Daily fuel sales (MS, HSD, Premium)
Cash vs card collections
Tank inventory levels
Procurement & supply data
Day vs Night shift performance
Solution I’ve Built So Far:
A full-stack automated Petrol Station Business Intelligence Dashboard with modules for:
1. Real-Time Operations Monitoring
Live dashboard for today’s sales, collections, and variance
Shift completion tracking (Day/Night)
Tank level monitoring with refill alerts
Automatic profit/loss variance calculation
2. Business Analytics
Daily/weekly/monthly sales trends by fuel type
Shift-wise performance comparison
Procurement vs sales trend analysis
Manager performance tracking
Fuel efficiency and consumption reports
3. Financial Control
Real-time cash flow tracking
Discrepancy detection in collections
Payment breakdown (Cash, Card, Paytm, HPCL)
HPCL credit management
4. Operational Efficiency
Excel-based procurement import (this part is having issues)
Automated data validation
Manual entry elimination
Standardized daily reports across shifts
What Needs Fixing:
Procurement Module Bug:
Excel import for procurement sometimes fails or doesn’t reflect in the dashboard properly. This needs debugging and stabilization.
Dashboard Corrections:
Minor adjustments to UI or logic based on actual data entered (e.g., proper display of daily procurement vs sales, and correcting the variance calculation).
What I Can Provide:
Access to the current Flask codebase
Frontend files (if needed)
Sample Excel files used for procurement
DB schema or a copy of the SQLite/Postgres DB (if required)
Clear expected logic for procurement and variance
Goals:
Fix procurement errors
Ensure end-to-end procurement-to-dashboard flow works
UI changes on the dashboard
Final test to confirm calculations match expected business logic
If you're confident working with Flask, dashboards, and data import flows, please send a message with examples of similar work.