Predictive analytics & finance intelligence for better decisions
We combine financial domain expertise and advanced machine learning to deliver forecasting, automation and dashboards that reduce risk and increase predictability.
Start a project
Quick intake — tell us the challenge and we’ll suggest an approach with timeline and ROI estimate.
Services
End-to-end data science, analytics engineering, and finance intelligence services tailored for enterprise teams.
Predictive Modeling
Demand, revenue and risk forecasting using time-series models, gradient boosting and deep learning. Explainability & confidence intervals included.
Finance Analytics
Budget automation, cost-to-serve, margin and profitability analysis, dynamic scenario planning and driver-based forecasting built for finance teams.
BI & Dashboards
Interactive reports and KPI dashboards (Power BI, Tableau, Looker) with automated ETL and scheduled refreshes for finance & operations.
ML Ops & Data Engineering
Production-ready pipelines (Airflow/DBT), containerized model deployment, monitoring and retraining workflows.
Custom AI & NLP
Text analytics, document extraction and LLM-powered assistants for finance workflows and reporting automation.
SaaS Productization
Package models as APIs or dashboard subscriptions to scale predictive analytics across teams.
Case Studies
Real outcomes our clients achieved using QuantifyX models and automation.
Demand Forecasting & Inventory Optimization
Challenge: Seasonal SKU-level demand volatility causing stockouts and excess inventory across 120 stores.
Solution: Hierarchical time-series models + causal indicators and automated replenishment rules deployed to the client's ERP.
Outcome: 22% reduction in stockouts, 14% reduction in overall inventory carrying cost.
Financial Forecasting & Cost-to-Serve
Challenge: Manual budgeting cycles and unclear service-line profitability.
Solution: Built driver-based forecasting models and a finance dashboard integrating clinical and financial data sources.
Outcome: 18% improvement in forecast accuracy and identification of two high-cost service lines saving 11% in operating expense after remediation.
Promotions Effectiveness & Pricing Optimization
Challenge: Low ROI from promotional campaigns and unclear price elasticity across channels.
Solution: Causal impact analysis and multi-armed bandit experiments to allocate promotional budget.
Outcome: 9% uplift in promotional ROI and a 6% increase in margin for promoted SKUs.
Want a case study tailored to your industry? Get in touch.
About QuantifyX
QuantifyX combines decades of finance experience with applied data science to help organizations make faster, measurable decisions. We specialize in projects where finance and analytics meet — forecasting, profitability, and automation.
Our approach
- Problem-first: we start with the decision you want to improve.
- Data-ready: we clean and engineer reliable inputs for models.
- Explainable models: business-friendly outputs and confidence bands.
- Production focus: repeatable pipelines and monitoring in place.
Team
Our mission
To make enterprise decisions measurable, repeatable and faster using finance-aware analytics and robust model ops.
Python, Pandas, Scikit-Learn, XGBoost, PyTorch, Docker, Airflow, DBT, Power BI, Tableau.
Contact
Tell us about your challenge and we’ll propose a short plan and next steps.
Get in touch
contact@quantifyx.io
+880 1X XX XXXX
Dhaka, Bangladesh
Request a pilot
Short pilots (2–6 weeks) to prove value with clear success metrics.