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Stop revenue leakage. See how SparcsRAS.ai automates complex multi-store payment settlements and fee reconciliations using simple, conversational AI.
In India, 9 out of 10 retail businesses face revenue assurance challenges — excess fees, delayed settlements, and unnoticed discrepancies across multiple stores. Finance teams spend as much as 30% of their time on reconciliation, often discovering issues only during quarterly audits.
MDR fees and settlement amounts rarely match contracted rates. Even a few basis points of overcharge, spread across millions of transactions, add up to significant annual losses.
Manual, line-by-line matching of MPR reports against bank statements takes hours per store. The backlog grows faster than teams can clear it, and unresolved disputes pile up.
MDR overcharges, orphan credits, and settlement shortfalls stay buried in transaction data across store networks. Without automated matching of POS records against bank MPR reports, these discrepancies go undetected and compound into significant revenue loss.
SparcsRAS.ai is an AI that assures every rupee you are owed reaches your bank account. It is fed with transaction data, MPR (Merchant Payment Report) data, invoice data, and MDR configuration from your existing systems. Ask questions in everyday language and uncover insights hidden in your data — without relying on dashboards or waiting for monthly reports.
Ask "What is the monthly transaction success rate?" or "Why did failures spike at store X in July?" SparcsRAS.ai pulls data instantly from POS transactions, bank MPR records, and settlement files to deliver a precise, store-level answer.
SparcsRAS.ai analyses nine key areas: reconciliation accuracy, MDR & fee audits, settlement compliance, sales & revenue tracking, product velocity, payment failure diagnosis, refund impact, revenue leakage detection, and store performance. It cross-references transaction data against MPR records and MDR configurations to surface overcharges, settlement gaps, and mismatched transactions automatically — no manual checks required.
For retailers already running billing on innoviti unipay, there's nothing to integrate. Every data point is automatically parsed and made available for analysis. MDR data is configured once during merchant onboarding, MPR data is fed daily, and all other reports — transactions, invoices, and settlement files — are collected automatically once integrated. No hardware changes, no platform migration.
Visit the Innoviti Live Experience Counter at ReTechCon for a live walkthrough of SparcsRAS.ai with real reconciliation workflows.
Topic
Automating Revenue Assurance in Multi-Store Retail Operations
Get a complete view of the settlement chain — from POS billing to bank realization. Through a live demo, see how SparcsRAS.ai streamlines reconciliation, MDR audits, settlement monitoring, and payment failure diagnosis across multi-store operations.
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