Technologies

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Technologies Powering ProForecast

ProForecast is built on a robust, scalable tech stack designed to deliver precision forecasting, seamless integration, and intelligent automation.

Core Development Stack

  • Microsoft SQL Server (2022) – High-performance relational database engine supporting complex financial models and secure data storage.
  • Microsoft .NET Framework – Comprehensive development platform enabling modular, scalable application architecture.
  • C# – Multi-paradigm programming language used for backend logic, data processing, and API orchestration.
  • ASP.NET Web API – Extensible framework for building secure, HTTP-based services and endpoints.

Data Interchange & Front-End

  • JSON – Lightweight, human-readable format for transmitting structured data across services and modules.
  • Angular – Modern front-end framework for building responsive, cross-platform web applications.

Data Storage & Background Processing

  • MongoDB – NoSQL document-oriented database for flexible, schema-less data storage and rapid retrieval.
  • Hangfire – Background job processing engine for scheduling and executing asynchronous tasks in .NET environments.

Predictive Intelligence

  • Rapier AI Engine – Proprietary machine learning module that analyzes up to 18 months of historical accounting data to generate accurate 12-month demand forecasts. Continuously refreshed with each reforecast cycle.
  • ProPilot – Our large language model integrated with Rapier

Cloud Infrastructure & AI Microsoft Azure –
Cloud backbone for ProForecast’s SaaS deployment. Enables:

  • Global accessibility
  • Scalable compute resources
  • Machine learning pipelines for Rapier
  • Secure data visualization and dashboarding

Copilot AI – Currently in development to power:

  • Enhanced predictive analytics
  • Risk modelling
  • Custom “What If” scenario generation
  • Interactive insights and user training automation

Business Intelligence & Reporting
Power BI – Embedded BI layer for:

  • Real-time interactive dashboards
  • Seamless data integration from multiple sources
  • Collaborative reporting across teams
  • Over 300 KPIs, including 120+ prebuilt metrics
  • Custom formulas and branded report packs

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