Reconciling Every Delivery Against Contract in Real Time - Cutting Manual Effort by 70%
Overview
A global energy enterprise needed certainty that every delivery matched what was contractually agreed before billing and settlement. This was not just a reporting issue. It was a financial control problem. Applexus built a real-time reconciliation engine on Databricks that continuously validates contracts, deliveries, and pricing, reducing risk and eliminating manual effort.
The Challenge
At the center of operations was a simple but critical question. Did what we deliver match what we agreed? Answering this required comparing contract quantities with actual deliveries, validating schedules, and ensuring pricing accuracy.
This work was done manually using spreadsheets and static reports. Analysts had to pull data from multiple systems, align formats, apply logic, and identify mismatches. The process was slow, inconsistent, and heavily dependent on individual expertise.
The risks were significant. Incorrect billing, revenue leakage, customer disputes, and compliance exposure were all real possibilities.
The Solution
Applexus transformed reconciliation into an automated, real-time process using Databricks. A rules-driven engine continuously ingests and aligns data from SAP and operational systems, then validates it against business logic.
The system compares contract quantities with delivered volumes, checks timelines, validates pricing, and flags mismatches instantly. Exceptions are classified based on impact, and validated results are written back into operational systems.
Oil Refinery Reconciliation
Client
Global Energy and Oil Refinery Enterprise
Solution
Real Time Reconciliation and Financial Validation on Databricks
At a glance
Applexus transformed manual reconciliation into an automated, real time validation process. The platform continuously reconciled contracts, deliveries, schedules, and pricing across SAP and operational systems. By identifying mismatches instantly and maintaining complete traceability, the organization improved billing accuracy, reduced revenue leakage risk, and strengthened financial controls across refinery operations.
What Makes This Powerful
Every transaction is checked, not sampled. Every mismatch is identified early, not discovered later. Every step is recorded, creating a complete and auditable trail without adding manual overhead.
Business Impact
Manual effort dropped sharply, with analysts saving nearly three hours per day. This translates to roughly a seventy percent reduction in effort.
Billing accuracy improved as every delivery is validated before settlement. Financial risks such as revenue leakage and disputes were significantly reduced.
Teams gained real-time visibility into issues, allowing them to act within minutes instead of waiting for end-of-day reports. Audit readiness improved with a clear, traceable history of every action.
Business Impact
- 70% reduction in manual effort (~3 hours/day saved per analyst)
- Higher billing accuracy with pre-settlement validation
- Reduced revenue leakage and disputes
- Real-time issue visibility act in minutes, not end-of-day
- Audit-ready operations with full traceability
Why Applexus
Applexus combined deep SAP data expertise with modern data engineering on Databricks. A reusable ingestion framework unified data across systems, while scalable pipelines ensured high performance at volume.
The focus remained on aligning technology with real business logic, ensuring that reconciliation reflects how the business actually operates.
Conclusion
Reconciliation is more than a back-office process. It is a core control for financial accuracy. By automating and scaling this capability, the organization moved from manual validation to real-time control, gaining confidence in every transaction.