Case Study
Utilify – Smart Utility Management for Modern Teams
Synplex built Utilify, a comprehensive SaaS platform streamlining utility management for small and medium businesses, offering real-time analytics, billing automation, and team collaboration.
Tech Stack
ReactDjangoPostgreSQL
Rendered Services
SaaSDashboardFull-Stack
The Challenge
Many small and medium businesses struggled with fragmented utility management—data in spreadsheets, manually tracked payments, and delayed insights led to billing errors, wasted time, and limited visibility for decision-makers.
Project Goals
- Provide a single, intuitive dashboard for tracking all utility accounts and team roles.
- Automate billing cycles, reminders, and payments, reducing manual errors.
- Deliver real-time analytics and reporting to enhance financial awareness and decision-making.
Synplex’s Utilify Solution
Module | Description |
---|---|
Account Dashboard | Centralized view of all utility accounts, usage metrics, and upcoming bills |
Billing Engine | Automates invoice generation, reminders, and payment status tracking |
Team Permissions | Role-based access for finance staff, managers, and executives |
Alerts & Notifications | Real-time alerts for bill due dates, anomalies, or usage spikes |
Analytics & Reporting | Customizable charts, usage trends, and exportable CSV reports |
Tech Stack
- React front‑end with Next.js for dynamic, responsive UI
- Django REST API powering backend endpoints and business logic
- PostgreSQL as the primary data store for accounts and usage history
- Docker + CI/CD for streamlined deployment across staging and production
Results (First 90 Days)
KPI | Before | After | Δ |
---|---|---|---|
Manual billing time per month | 8–10 hrs | 2–3 hrs | –75% |
Billing errors | 15% | 3% | –80% |
User satisfaction score | 70% | 92% | +22 pts |
Time to insight (reports) | Weekly | Real-time | Continuous |
Business Impact
- Massive time savings — Finance teams regained hours monthly thanks to automated workflows.
- Fewer errors — Automated billing engine reduced discrepancies significantly.
- Data-driven operations — Real-time insights improved financial control.
- Scalable foundation — Built with modern tech to support future feature growth.