FinTrack — SME Financial Analytics & Cash Flow Engine

Project Overview

Small and medium-sized enterprises (SMEs) frequently struggle with delayed financial visibility and inaccurate cash-flow projections. Aarohan IT Hub was commissioned to design and engineer FinTrack: an enterprise financial intelligence tool that aggregates bank feeds, categorizes operating expenses in real time, and leverages predictive analytics to forecast working capital requirements.

Core Challenges

• Heterogeneous Banking Data: Normalizing varied bank transaction formats, CSV statements, and payment processor receipts into a consistent ledger structure.
• Low-Latency Analytical Visualizations: Rendering interactive multi-year cash flow waterfall charts and scenario simulations without frontend sluggishness.
• Strict Financial Data Security: Enforcing AES-256 bank-grade encryption at rest and in transit, accompanied by strict tamper-evident transaction logs.

Architectural Solution

• Frontend Interface: Next.js application leveraging Plotly.js for interactive financial charting and dynamic scenario modeling.
• Analytics Engine: Python FastAPI service executing statistical forecasting models (ARIMA & exponential smoothing) for cash flow trajectory projections.
• Database Architecture: PostgreSQL with TimescaleDB extension for optimized time-series transaction storage and high-speed aggregation queries.
• Containerized Deployment: Dockerized multi-stage containers deployed behind an NGINX reverse proxy with TLS 1.3 termination.

Key Capabilities

• Automated Ledger Categorization: Rule-based and pattern-matched transaction categorization with custom chart of accounts mapping.
• Predictive Cash Runway Modeling: 30/60/90-day cash projection curves accounting for pending vendor payables and expected invoice receivables.
• Multi-Entity & Multi-Currency: Consolidated financial reporting across multiple subsidiary business entities and localized exchange rate adjustments.
• One-Click Regulatory Exports: Standardized VAT, Tax, and P&L balance sheet generation exported directly to PDF and Excel formats.

Measurable Impact

• 15+ hours saved weekly per accounting team on routine manual bank reconciliations.
• 98.4% accuracy in automated expense classification across recurring commercial vendor accounts.
• Over 40 businesses actively monitoring real-time liquidity and working capital.