Reconciliation-Time Reduction
Reported reduction, with processing moving from days to hours.
Client case study
Automating Financial Reconciliation
Xalta’s reconciliation case reports 90% less reconciliation time, a 75% lower resource requirement, more than 98% data accuracy and 4× faster reporting. The beverage-company workflow standardises ERP data, staged matching and exception review across zonal offices.
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Reported Reconciliation Results
Client-case results: 90% less reconciliation time, 75% lower resource requirements, 98%+ accuracy and 4× faster reporting.
Resource-Requirement Reduction
The case reports a change from four staff to one per zone.
Reported Data Accuracy
Achieved through rule-based reconciliation in the case.
Faster Report Generation
Reported improvement in report-generation speed.
Client & project context
Client and Project Overview
The client is a large non-alcoholic beverage company with zonal offices across India. Its operations handled nearly one million transactions daily, while accounting practices varied between locations.
Each zone used substantial manual effort to reconcile records and prepare reports. Xalta built a common extraction, preparation and matching process to improve consistency and make unresolved differences easier to investigate.
The challenge
Operational Challenges
High transaction volumes and different local working methods made it difficult to reconcile accounts consistently and provide timely finance information.
High Transaction Volumes
Nearly one million daily records made repeated spreadsheet preparation difficult to sustain.
Different Local Processes
Independent accounting practices created inconsistencies across the zonal offices.
Heavy Resource Requirements
Several staff in each zone were needed for manual matching and reporting work.
Delayed Reporting and Errors
Manual preparation and reconciliation delayed information and introduced data errors.
The solution
Solution Overview
A common reconciliation workflow brings ERP extraction, data preparation and staged matching into one repeatable process.
The solution validates and transforms the input records before applying the agreed matching sequence. Business rules, tolerances and split-matching logic prepare matched records and an unresolved-item view for finance.
ERP Data Preparation
Extract the required records and apply validation, enrichment and transformation rules.
Multi-Stage Matching
Use the agreed matching keys, tolerances and split or forced-match logic.
Configurable Reporting
Provide finance with dashboards, reports and automated notifications.
Historical Review Records
Retain processing summaries, unresolved differences and relevant historical logs.
Human Review and Operational Control
Finance owns the accounting rules, matching tolerances and treatment of unresolved differences. Analysts investigate exceptions and retain responsibility for final review and sign-off.
How it works
Workflow and System Integration
The stages below show the implemented process from source information to output or review.
- 01
Extract ERP Records
Collect the agreed accounting data for the reconciliation cycle.
ERP integration - 02
Validate and Standardise
Check fields and transform records into a consistent structure.
Data preparation layer - 03
Apply Matching Rules
Run the approved sequence of matching keys, tolerances and split logic.
Matching engine - 04
Separate Unresolved Items
Group differences with the source information needed for review.
Exception records - 05
Prepare Reports
Generate the configured reporting view and notify finance users.
Dashboards + notifications - 06
Review and Retain Evidence
Investigate outstanding differences and preserve processing history.
Finance review + historical logs
Implementation
Implementation and Delivery
The project began with a proof of concept, followed by a tuned deployment of the common reconciliation process.
Demonstrate the Core Process
A proof of concept was delivered in under three weeks to establish the extraction and reconciliation approach.
Standardise Data and Matching
Configure the preparation logic and business rules needed for consistent handling across zones.
Deploy Reporting and Review
Make dashboards, notifications and historical records available for operational finance review.
Local Accounting Differences
The common process had to handle differences in zonal accounting practices while applying a consistent reconciliation approach.
Platforms, Technology and Architecture
Each component has a defined role in processing, validation, integration or review.
- Source
ERP integration
Retrieves the required transaction records.
- Preparation
Validation and transformation logic
Cleans, enriches and standardises the input fields.
- Matching
Multi-stage rules engine
Applies business keys, tolerances and split-matching logic.
- Reporting
Configurable dashboards and reports
Presents processing results and finance information.
- Oversight
Exception and historical records
Supports review of outstanding differences and prior runs.
Results & business impact
Reconciliation Results and Financial Operations Impact
The documented case reports a 90% reduction in reconciliation time, moving processing from days to hours. Resource requirements fell by 75%, from four staff to one per zone, while data accuracy exceeded 98% and report generation became four times faster.
| Workflow measure | Before | After | Reported result |
|---|---|---|---|
| Reconciliation turnaround | Decentralised manual work delayed completion across zones. | Automated preparation and matching shorten the processing cycle. | 90%Reconciliation-Time Reduction |
| Resource requirement | Each zone required several people for repeated reconciliation work. | Standardised automation reduces the reported staffing requirement per zone. | 75%Resource-Requirement Reduction |
| Data quality | Spreadsheet-driven work produced errors and inconsistent handling. | Validation, transformation and matching rules improve consistency. | 98%+Reported Data Accuracy |
| Reporting speed | Reports waited for manually prepared and reconciled information. | Automated outputs and configurable reporting accelerate availability. | 4×Faster Report Generation |
A Consistent Operating Process
Shared rules and prepared data provide a common reconciliation approach across zones.
More Focused Finance Review
Analysts receive unresolved differences with supporting records instead of repeating every preparation and match step.
Related offerings
Related Solutions and Services
Explore the solution, supporting service and industry context for this workflow.
Accounting Reconciliation Automation
Standardise source data, matching and exception review.
Intelligent Process Automation Services
Build repeatable workflows across finance data and enterprise applications.
Manufacturing & Supply Chain Automation
Connect business records across distributed manufacturing and supply operations.
Discuss a Similar Requirement
Share the accounts, source records and matching rules your team uses. We can define the reconciliation scope, exception process and baseline measures.
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