Reconciliation has been a legacy problem with almost all organizations, particularly for BFSI and Utilities companies. Data coming from multiple sources need to be reconciled with own applications data or various financial documents related with suppliers and customers need to be in synch to prevent revenue leakages, invoices should be in synch accurately with time & material utilization, etc. Whenever an organization needs to do a monthly or quarterly account close, multiple types of reconciliations are required. Similarly, for e-commerce companies or App-based transaction companies, while reconciliation with collections is critical, at the same time reconciliation with back-end merchants payments is critical too to maintain a healthy business environment. Reconciliation becomes another critical activity for large conglomerates to consolidate their taxes, intra-group inventory transfers and resources billing.

GenX i.sAmya.Vedica is an AI/ML and Blockchain powered reconciliation platform to resolve all issues related with reconciliation. The platform has a loosely coupled architecture which allows it to use the existing tools running in the organization for data sourcing and reporting. The heart of the platform is a canonical, clean data-set and various AI/ML and heuristics algorithm which matches transactions and throw un-reconciled data and create a business process for manual intervention with an owner from Identity System.