iMatch can handle large volumes of data and its intelligent rule building deliver a quantum leap in reconciliation efficiencies. Our industry agnostic solution can flexibly cater to multiple types of reconciliations, like Bank reconciliation, Collection Account reconciliation, Cash reconciliation, and much more...
iMatch covers all key areas across verticals. Furthermore, being highly configurable, it provides greater control, automation and process standardization, enabling you to focus your resources on value accretive activities.
Auto reconciliation enables better audit tracking, eliminating typical spreadsheet-based reconciliations that are prone to errors.
Reduces revenue leakages and measures service provider deliverables.
Increases operational efficiency by over 33% by streamlining processes.
Machine learning provides for continuous improvement of automation percentage.
High throughput and faster processing even for large volumes.
The in-built ETL tool automatically detects the arrival of new data & facilitates data extraction, collation and transformation. Data cleansing is done by applying pre-defined business rules to summarize and aggregate data that is ready to be used for reconciliation.
Intelligent File Sense
File Sense technology enables files to be uploaded by placing them in a specific directory or emailing them to a common system ID, from where they can be automatically sensed and absorbed by the system. Files can also be uploaded manually.
The Automated Processing engine performs four-way reconciliation that covers the entire transaction lifecycle. The core engine understands matching requirements across data sets, enabling automated extraction of business rules.
The Manual Reconciliation or Reconciliation Breaks bucket provides quick insight into data anomalies and enables speedy resolution through its own set of rule logics, filters, grouping criteria and quick search options.
Exception Processing allows a maker-checker workflow to execute force match transactions, with all due diligence & specifying reasons for each match. The system highlights any variance amount and once matched, enables users to specify its impact on accounting transactions.
A view of reconciliation performances across different sub groups, comprehensive trend analysis to evaluate reconciliation activity over time, transaction logs and rule effectiveness, all provide for business process efficacy.
During critical business events in the reconciliation life cycle, get alerts on data arrival within the system, reconciliation status across source pairs and approval notifications. Track account variances, reconciliation process variability, status, deadlines and metrics on a real time basis.
iMatch can evolve with changing business operations through its in-built, user-defined rule engine that uses data driven learning. The system can ensure that reconciliation is over 90% automated and is designed to function in a ‘non-intrusive’ mode that automatically detects the arrival of new data. With the elimination of a manually extensive process, iMatch ensures that business records, financial & accounting records and bank transactions are in sync.
iMatch is enabling businesses globally to automate their reconciliation process better and faster. Our prominent partners trust KFintech's capabilities to deliver excellent service and client value.