Reconcile Store Tender, POS, Bank and BNPL. Identify SAR at risk. Assign exceptions. Recover missing settlements. Close with confidence.
Know what was expected, what was received, what settled, what remains at risk, and what is ready to post.
| Store | Provider | Expected | Settled | Difference | Age | Owner | Status |
|---|---|---|---|---|---|---|---|
| 613 | ANB | SAR 18,420 | SAR 0 | SAR 18,420 | T+3 | Treasury | Escalated |
| 207 | MADA | SAR 9,150 | SAR 8,900 | SAR 250 | T+1 | Store Team | In Review |
| 442 | Tabby | SAR 6,300 | SAR 6,300 | SAR 0 | T+0 | Finance | Matched |
| 108 | Tamara | SAR 4,760 | SAR 4,110 | SAR 650 | T+5 | Provider / Bank | Awaiting Response |
Built for finance & treasury teams responsible for
A structured reconciliation and recovery workflow built for finance teams, not another dashboard to interpret.
D365 Store Tender, POS, bank and BNPL statements — uploaded or connected directly.
Match on auth code, amount and tolerance; flag duplicates and settlement lifecycle gaps.
Identify missing settlement, duplicates, timing differences and mismatches.
Assign an owner, collect evidence, follow up, and verify recovery.
Approve transactions, create the JV, control the period, and prepare approved JV batches for D365.
The core control behind RetailRecon AI — matching what a store recorded, what the provider processed, and what the bank actually settled.
Every transaction is matched at one of three confidence levels before anything is treated as an exception.
Every unmatched item moves through a defined lifecycle — nothing sits unassigned in a spreadsheet.
Segregation of duties and a locked period, all the way through to D365.
One data model spanning every entity, currency and payment provider in the group.
Finance teams need more than a matched transaction. RetailRecon can separate gross sales, commission, VAT and net settlement so the accounting result is explainable.
Start from the approved Store Tender / provider transaction value.
Apply configured provider / card commission rules by payment type and effective date.
Track VAT charged on provider fees separately for accounting and reconciliation.
Compare the expected net amount against the actual bank settlement received.
Refunds, chargebacks and delayed settlements should remain visible and controlled rather than disappearing when the accounting period changes.
RetailRecon should confirm that the source data is complete, unique and ready for matching before finance relies on any result.
The question RetailRecon AI is built to answer, end to end — from expected sales to what's still at risk.
RetailRecon can turn reconciliation output into operational performance signals for Finance and Treasury.
Compare settlement quality, delay and exception exposure by payment channel.
| Provider | Match % | Avg Delay | Open Risk | Status |
|---|---|---|---|---|
| MADA / ANB | 98.7% | T+1.2 | SAR 12.4K | Healthy |
| Visa / MC | 96.9% | T+1.8 | SAR 18.7K | Watch |
| AMEX | 94.1% | T+2.4 | SAR 21.3K | Review |
| Tabby / Tamara | 97.5% | T+2.0 | SAR 9.8K | Monitor |
| Other / Remaining | — | — | SAR 5.8K | Monitor |
A short management summary of what changed and what needs attention.
Prioritize by value, age, payment channel and close impact rather than reviewing every difference equally.
Show how much of the close is auto-matched, tolerance-matched, or still needs human review.
Prepare a finance-ready support package for management review and audit evidence.
Track recurring issues so Finance can distinguish a one-off delay from a repeated control weakness.
Before a full deployment, AHENQOR can review the current workflow and identify where settlement risk, manual effort and control gaps exist.
Tell us about your reconciliation setup and someone from RetailRecon AI will follow up within one business day.
RetailRecon AI is early-stage — pricing is scoped per engagement rather than fixed into standard tiers.