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Popular reconciliation template

Food Delivery Refund Reconciliation

Reconcile food delivery refunds across platform reports, POS records, customer refunds, complaint refunds, cancellations, chargebacks, settlement adjustments, bank entries, and accounting records in one structured workflow.

Upload the required food delivery refund report, POS sales report, cancellation report, settlement report, bank statement, and accounting data, select the period, run reconciliation, and review fully matched, partially matched, unmatched, refunded, reversed, deducted, and skipped records.

Start this reconciliationSchedule guided setup
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Ready-made workflow · Reusable every period · Manual upload or automated data flow

Food Delivery Refund Report
POS Sales / Order Report
Cancellation / Complaint / Adjustment Data
Settlement / Bank / Accounting Data

Cointab Food Delivery Refund Reconciliation

MatchedPartially MatchedRefundedReversedDeductedUnmatchedSkipped

Reconcile food delivery refunds with POS, settlement, bank, and accounting records

Food delivery refunds may be triggered by cancellations, missing items, quality complaints, wrong orders, delayed delivery, chargebacks, goodwill adjustments, or platform-side corrections. Cointab helps finance teams verify whether each refund is valid, correctly recorded, and properly reflected in settlements and accounting records.

The Food Delivery Refund Reconciliation template helps restaurant finance teams, cloud kitchens, QSR chains, food brands, franchise operators, marketplace operations teams, and accounting teams compare food delivery platform refund records with POS sales, cancellation reports, settlement files, bank statements, and accounting ledgers.

This helps teams answer questions such as:

  • Which food delivery refunds are correctly linked to POS orders?
  • Which platform refunds do not have matching POS or sales records?
  • Which POS orders show cancellation or refund status, but no matching platform refund exists?
  • Which customer refunds, complaint refunds, partial refunds, chargebacks, reversals, or goodwill adjustments require review?
  • Which refunds reduced platform settlements or payouts?
  • Which refunds were duplicated, delayed, reversed, over-refunded, or under-refunded?
  • Which outlet, brand, city, franchisee, platform, or business unit is affected by refund differences?
  • Which refund entries need platform follow-up, customer support review, finance approval, dispute review, or accounting correction?

This template is useful for restaurants, QSR chains, cloud kitchens, cafés, food brands, franchise operators, delivery-first restaurants, restaurant finance teams, marketplace operations teams, controllers, CFOs, and accounting firms that need a repeatable food delivery refund reconciliation process.

Required files for this template

Cointab's ready-made workflow is designed around common food delivery refund reports, POS sales reports, cancellation reports, complaint adjustment reports, settlement files, bank statements, ERP exports, and supporting restaurant finance data.

Data sourceExample records
Food Delivery Refund ReportUsed as the platform-side refund source containing platform order IDs, refund IDs, refund dates, refund amounts, refund reasons, refund status, customer refund references, platform adjustment references, and settlement impact.
POS Sales / Order ReportUsed as the internal source-of-truth report containing POS order IDs, bill numbers, outlet IDs, order dates, order amounts, taxes, discounts, service charges, tips, payment modes, order status, cancellation status, refund status, and accounting status.
Food Delivery Order ReportOptional, but useful where refund records need to be traced back to platform order IDs, restaurant order IDs, delivery status, order value, customer paid amount, and platform status.
Cancellation ReportOptional, but useful where cancelled orders, customer cancellations, restaurant cancellations, platform cancellations, cancellation charges, and cancellation-related refunds need to be compared.
Complaint / Adjustment ReportOptional, but useful where refunds are triggered by missing items, wrong items, quality issues, late delivery, customer complaints, packaging issues, service-level issues, chargebacks, or goodwill credits.
Food Delivery Settlement / Payout ReportUsed to compare how refunds affected gross sales, commissions, platform fees, deductions, taxes, settlement values, net payouts, and bank credits.
Commission / Fee ReportOptional, but useful where commission reversals, platform fee reversals, delivery fee reversals, service fee adjustments, and refund-related fee impact need to be reviewed.
Bank StatementOptional, but useful where settlement impact, bank credits, payout reversals, refund debits, or bank-level adjustments need to be compared.
Tax ReportOptional, but useful where GST, VAT, sales tax, service tax, TCS, TDS, taxable value reversal, tax collected, tax deducted, and tax reversal values need to be compared.
Outlet / Store MasterOptional, but useful where outlet IDs, restaurant IDs, store IDs, brand, city, franchisee, cost center, entity, and GL mapping need to be added.
ERP / Accounting ExportOptional, but useful if sales reversals, refund liabilities, platform receivables, customer payables, commission reversals, deduction expenses, tax reversals, settlement clearing, bank entries, and journal postings are maintained in SAP, Oracle, NetSuite, Microsoft Dynamics, Tally, Zoho Books, QuickBooks, or another accounting system.
Supporting DataOptional supporting files can be used for order mapping, refund mapping, cancellation mapping, platform mapping, outlet mapping, brand mapping, franchise mapping, settlement mapping, tax mapping, GL mapping, entity mapping, or other enrichment.

What Cointab matches in food delivery refund reconciliation

Cointab compares food delivery refund records with POS sales, platform orders, cancellations, complaint adjustments, settlements, bank entries, tax records, and accounting ledgers.

Platform refunds and POS orders

Match food delivery platform refunds with corresponding POS orders, bill numbers, invoice numbers, and outlet records.

Refund and order references

Compare POS order IDs, bill numbers, platform order IDs, restaurant order IDs, refund IDs, customer order references, settlement IDs, payout IDs, UTRs, and bank references.

Refund amounts

Compare expected refund amount, platform refund amount, customer refund amount, complaint refund amount, partial refund amount, cancellation refund amount, chargeback amount, reversal amount, and net refund impact.

Refund reasons

Compare refund reasons such as cancellation, missing item, wrong item, quality issue, late delivery, customer complaint, duplicate charge, chargeback, failed order, goodwill adjustment, and platform correction.

Refund statuses

Compare initiated, successful, failed, pending, rejected, reversed, retried, partial, full, manual, adjusted, settled, and unresolved refund statuses.

POS and platform order values

Compare original order amount, item value, taxable value, tax amount, discount amount, delivery fee, packaging fee, service charge, tip, customer paid amount, and platform-reported value.

Cancellations and complaint adjustments

Match customer cancellations, restaurant cancellations, platform cancellations, complaint deductions, quality issue refunds, missing item refunds, wrong item refunds, and goodwill credits.

Settlement impact

Compare how refunds, refund reversals, complaint refunds, cancellations, taxes, fees, and adjustments affect food delivery platform settlements and payouts.

Bank impact

If bank data is included, compare settlement credits, payout reversals, refund-related debits, bank references, UTRs, and timing differences.

Accounting postings

If ERP or accounting data is included, compare sales reversals, refund liabilities, platform receivables, customer payables, tax reversals, settlement clearing, bank entries, and journal postings.

Common food delivery refund reconciliation exceptions

Cointab helps finance teams focus on refund differences instead of manually reviewing every platform refund, POS order, cancellation, complaint, settlement adjustment, bank entry, and accounting posting.

Platform refund not found in POS

A refund appears in the food delivery platform report but no matching POS order or internal refund record is found.

POS refund not found on platform

A POS order shows refunded or cancelled status, but no matching food delivery platform refund is found.

Refund without original order

A refund record exists without a clear matching platform order, POS order, bill number, or customer order reference.

Refund amount mismatch

The refund reference matches, but expected refund amount and actual platform refund amount differ.

Partial refund mismatch

A partial refund is recorded, but the partial refund amount does not match expected order-level or complaint-level value.

Full refund mismatch

A full refund is expected, but only a partial refund is recorded, or the refunded amount differs from the original order value.

Duplicate refund

The same refund ID, order ID, platform order ID, customer reference, amount, or settlement adjustment appears more than once.

Failed or pending refund

A refund is expected but shows failed, pending, rejected, reversed, delayed, or retried status.

Refund reversal mismatch

A refund reversal appears in one report but does not appear correctly in POS, settlement, bank, or accounting records.

Cancellation refund mismatch

A cancelled order has a refund difference across platform, POS, settlement, and accounting records.

Complaint refund mismatch

A refund issued for missing item, wrong item, quality issue, or customer complaint does not match internal records.

Chargeback mismatch

A chargeback or dispute refund appears on the platform but is missing or recorded differently internally.

Settlement impact mismatch

Refund values do not correctly reduce the settlement amount, payout amount, or platform receivable.

Bank impact mismatch

A payout reversal, settlement adjustment, or refund-related bank movement does not match bank records.

Tax reversal mismatch

GST, VAT, sales tax, service tax, TCS, TDS, taxable value reversal, or tax reversal differs across platform and accounting records.

Wrong outlet allocation

A refund, order, cancellation, complaint, settlement adjustment, or accounting entry is mapped to the wrong outlet, brand, city, franchisee, entity, GL account, or business unit.

Timing difference

Order date, refund date, settlement date, bank date, and accounting posting date fall in different periods.

Missing or unclear reference

POS order ID, bill number, platform order ID, refund ID, settlement ID, payout reference, UTR, outlet code, restaurant ID, or narration is missing, incomplete, or inconsistent.

Skipped record

A row cannot be reconciled because required data is missing, invalid, duplicate, incomplete, or unusable.

How this ready-made reconciliation works

Cointab pre-configures the workflow so your team does not need to rebuild the food delivery refund reconciliation setup every period.

01

Select the template

Choose Food Delivery Refund Reconciliation from popular reconciliations.

02

Select the period

Choose the day, week, month, quarter, business day, refund cycle, settlement cycle, payout cycle, financial year, lifetime period, or custom period you want to reconcile.

03

Upload refund and supporting reports

Upload the food delivery refund report, POS sales report, and any required food delivery order, cancellation, complaint adjustment, settlement, commission, tax, bank, outlet master, ERP, or supporting files.

04

Validate file format

Cointab checks whether the uploaded files match the expected structure and highlights missing or incorrect columns.

05

Run reconciliation

Cointab applies predefined data preparation and matching logic for food delivery refunds, POS orders, cancellations, complaints, settlements, taxes, bank entries, and accounting data.

06

Review output

View fully matched, partially matched, unmatched, refunded, reversed, deducted, failed, pending, and skipped records.

07

Download or automate

Download the Excel report, or automate future data input and output through email, SFTP, or APIs.

Structured matching first, AI assistance for difficult cases

Cointab applies structured reconciliation logic first, then uses AI to help with difficult open records where fixed rules are not enough.

Structured matching

Structured matching can use:

POS order IDBill numberInvoice numberPlatform order IDRestaurant order IDCustomer order referenceRefund IDRefund referenceSettlement IDPayout IDUTRBank referenceTransaction IDPayment referenceVoucher numberERP document numberOutlet IDStore IDRestaurant IDBrandCityFranchisee codeEntity codeBusiness unitCost centerGL accountPlatform nameOrder statusCancellation statusRefund statusSettlement statusPayment statusBank statusAccounting statusRefund reasonComplaint reasonCancellation reasonGross order valueItem valueNet sales amountCustomer paid amountExpected refund amountPlatform refund amountCustomer refund amountComplaint refund amountPartial refund amountFull refund amountChargeback amountReversal amountAdjustment amountTaxable value reversalGST reversal amountVAT reversal amountSales tax reversal amountService tax reversal amountTCS amountTDS amountCommission reversal amountPlatform fee reversal amountDelivery fee reversal amountPackaging fee reversal amountNet settlement impactBank debit amountBank credit amountOrder dateBusiness dateCancellation dateRefund dateSettlement datePayout dateBank datePosting dateAccounting periodDerived or cleaned identifiers

Matching scenarios

  • One-to-one

    One food delivery platform refund matches one POS order or internal refund record.

  • One-to-many

    One POS order maps to multiple refund lines, complaint adjustments, cancellation entries, tax reversal entries, settlement adjustments, bank entries, or accounting postings.

  • Many-to-one

    Multiple refunds are grouped into one settlement adjustment, payout deduction, bank movement, or accounting entry.

  • Many-to-many

    Multiple POS orders, platform refund records, cancellation records, complaint adjustments, settlement entries, bank entries, and accounting records are grouped and compared together.

  • Partial matching

    Identifiers match, but refund amount, tax reversal, settlement impact, status, or posting date differs.

  • Refund-status matching

    Refund statuses across platform, POS, settlement, bank, and accounting records are compared together.

  • Outlet-level matching

    All refunds, cancellations, complaint adjustments, settlements, and accounting entries for an outlet, store, brand, city, franchisee, or entity are grouped and compared.

  • Settlement-level matching

    Refunds, reversals, complaints, cancellations, taxes, settlement IDs, payout values, and bank credits are compared together where required.

  • Net and contra matching

    Sales, cancellations, refunds, chargebacks, reversals, complaint adjustments, tax reversals, commission reversals, settlement adjustments, bank entries, and accounting postings are netted where required.

AI-assisted transaction matching

After structured rules run, AI helps match difficult open transactions where:

  • References are incomplete
  • Refund IDs are missing or formatted differently
  • Platform order IDs and POS order IDs do not match directly
  • Refund references are embedded inside settlement narration
  • Outlet names differ across POS and platform files
  • Complaint descriptions are inconsistent
  • Cancellation and refund reasons are written differently
  • One order has multiple refund and adjustment lines
  • One settlement contains many refund adjustments
  • Refund reversals are not clearly linked to original refunds
  • Bank narration is messy
  • Accounting descriptions are unclear
  • Amounts require business context
  • Multiple possible matches exist

AI exception analysis

For transactions that remain open, AI can help identify possible reasons such as:

Platform refund missing in POSPOS refund missing on platformRefund without original orderRefund amount mismatchPartial refund mismatchFull refund mismatchDuplicate refundFailed refundPending refundRefund reversal mismatchCancellation refund mismatchComplaint refund mismatchChargeback mismatchSettlement impact mismatchBank impact mismatchTax reversal mismatchWrong outlet allocationWrong platform allocationPosting period differenceInternal POS issuePlatform reporting issueUnclear reference

AI assists matching and exception review, but Cointab keeps reconciliation transparent, reviewable, and audit-friendly.

Audit-ready food delivery refund reconciliation reports

Cointab gives your team a clear report showing which food delivery refund, POS, cancellation, complaint, settlement, bank, and accounting records matched, partially matched, remained unmatched, failed, reversed, or were skipped.

Report categories

  • Fully matched

    Refund records where platform refund, POS order, settlement impact, and accounting records match.

  • Partially matched

    Records where identifiers match but refund amount, tax reversal, settlement impact, refund status, or posting date differs.

  • Unmatched platform refunds

    Food delivery platform refunds that do not clearly match POS, sales, settlement, bank, or accounting records.

  • Unmatched POS refunds

    POS refunds, cancellations, or internal refund records that do not clearly match food delivery platform refunds.

  • Refund amount differences

    Records where expected refund, platform refund, customer refund, complaint refund, chargeback, reversal, or accounting value requires review.

  • Refund status differences

    Records where refund status differs across platform, POS, settlement, bank, or accounting records.

  • Cancellation refund differences

    Records where cancelled orders and refund entries do not match.

  • Complaint refund differences

    Records where missing item, wrong item, quality issue, late delivery, or goodwill refund requires review.

  • Chargeback and reversal differences

    Records where chargebacks, refund reversals, payment reversals, or settlement reversals require review.

  • Settlement impact differences

    Records where refunds do not correctly reduce or adjust platform settlement or payout values.

  • Bank impact differences

    Records where refund-related debits, payout reversals, bank credits, UTRs, or bank references require review.

  • Tax reversal differences

    Records where GST, VAT, sales tax, service tax, TCS, TDS, taxable value reversal, or tax reversal requires review.

  • Accounting differences

    Records where sales reversal, refund liability, platform receivable, customer payable, tax reversal, settlement clearing, bank posting, or journal entry requires review.

  • Skipped

    Records excluded due to missing, invalid, duplicate, incomplete, or unusable data.

Report capabilities

  • Summary cards
  • Refund-level filters
  • Order-level filters
  • Outlet-level filters
  • Platform-level filters
  • Brand-level filters
  • City-level filters
  • Refund reason filters
  • Refund status filters
  • Settlement-level filters
  • Difference amounts
  • Settlement impact view
  • Matched transaction drill-down
  • Manual match
  • Undo manual match
  • Excel export
  • Audit-friendly output

Automate recurring food delivery refund reconciliation

Once this workflow is stable, Cointab can automate file input, reconciliation runs, and output delivery.

1

Bring data into Cointab

Data can be received or pulled through:

EmailSFTPAPI integrations, where available
2

Run automatically

Schedule reconciliation:

DailyWeeklyMonthlyQuarterlyBusiness day-wiseOutlet-wiseRefund cycle-wiseSettlement cycle-wisePayout cycle-wiseAt month-end closeAfter food delivery refund report receiptAfter POS sales exportAfter cancellation report receiptAfter complaint adjustment report receiptAfter settlement file receiptAfter bank statement receiptAfter accounting ledger exportAfter all required files are availableAt a custom frequency
3

Push output back

Send reconciliation output to:

POS systemERPAccounting systemRefund operations dashboardRestaurant operations dashboardFood delivery operations dashboardFinance operations dashboardCustomer support dashboardBI dashboardInternal finance systemAnalytics databaseData warehouseInternal exception trackerPlatform follow-up workflowRefund review workflowComplaint dispute workflowOutlet correction workflowAccounting close workflowAudit or compliance system
  • Matched refunds
  • Matched cancellation refunds
  • Matched complaint refunds
  • Matched refund reversals
  • Unmatched platform refunds
  • Unmatched POS refunds
  • Refund amount differences
  • Refund status differences
  • Partial refund differences
  • Full refund differences
  • Duplicate refund records
  • Failed refund records
  • Pending refund records
  • Chargeback differences
  • Settlement impact differences
  • Bank impact differences
  • Tax reversal differences
  • Wrong outlet allocation records
  • Wrong platform allocation records
  • Timing differences
  • Open items
  • Suggested actions
  • Excel reconciliation report
  • Structured API output

View a food delivery refund demo report

See how Cointab presents Food Delivery Refund Reconciliation output with matched, partially matched, refunded, reversed, deducted, unmatched, and skipped records.

Food Delivery Refund Reconciliation Demo

Explore a sample report showing food delivery refunds, POS orders, cancellation refunds, complaint refunds, chargebacks, reversals, settlement adjustments, tax reversals, bank impact, and open items.

View demo report
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Built for teams reconciling food delivery refunds

This template is useful for teams that regularly reconcile food delivery refunds, cancellations, complaints, chargebacks, settlement adjustments, bank impact, and accounting records.

Restaurants

For restaurants reconciling food delivery refunds with POS orders, settlement files, and accounting records.

QSR chains

For QSR teams managing high-volume refund reconciliation across multiple outlets, cities, brands, platforms, and settlement cycles.

Cloud kitchens

For cloud kitchens reconciling refunds, cancellations, complaint credits, chargebacks, settlement adjustments, and outlet-level payout impact.

Cafés and food brands

For cafés, bakery chains, dessert brands, and food businesses reconciling food delivery refunds with POS and finance records.

Franchise operators

For franchise businesses reviewing outlet-level refunds, complaint adjustments, payout differences, and accounting records.

Restaurant finance teams

For teams preparing recurring food delivery refund reconciliation reports for daily review, month-end close, reporting, and audit.

Marketplace operations teams

For teams reviewing refund disputes, cancellation differences, complaint refunds, chargebacks, and platform follow-ups.

Refund operations teams

For teams reviewing pending refunds, failed refunds, duplicate refunds, refund reversals, and customer support escalations.

Customer support teams

For teams handling customer complaints related to missing items, wrong items, cancelled orders, refund delays, and duplicate refunds.

Accounting teams

For teams reconciling sales reversals, refund liabilities, platform receivables, customer payables, tax reversals, settlement clearing, bank entries, and journal postings.

Controllers

For controllers who need visibility into refund gaps, duplicate refunds, settlement impact, outlet-level issues, tax reversals, and accounting posting differences.

CFOs

For finance leaders who want stronger control over restaurant refund exposure, delivery platform receivables, settlement accuracy, accounting accuracy, and audit readiness.

Accounting firms

For CA, CPA, or outsourced accounting teams handling restaurant, QSR, cloud kitchen, food delivery, refund, settlement, and accounting reconciliation for multiple clients.

Trusted by teams handling food delivery refund reconciliation

Cointab is used by finance and operations teams that reconcile high-volume, multi-source transaction data across food delivery platforms, POS systems, refunds, cancellations, settlements, banks, books, ERP systems, restaurant outlets, and internal systems.

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“We have worked on many softwares but we love the ease of using cointab. The staff and support is very instant. They are approachable, proficient and patient. Team is very cooperative with the customisations. The experience of using cointab was nice.”

— Urbanic

Food Delivery Refund Reconciliation FAQs

Food Delivery Refund Reconciliation is the process of comparing food delivery platform refund records with POS sales, cancellations, complaint adjustments, settlement reports, bank entries, and accounting records to identify matched refunds, missing refunds, refund amount differences, duplicate refunds, failed refunds, reversals, settlement impact, and open items.

The main files are usually the food delivery refund report and POS sales report. Depending on the workflow, order reports, cancellation reports, complaint adjustment reports, settlement reports, commission reports, tax reports, bank statements, ERP exports, outlet master files, or supporting data may also be used.

This workflow can apply to platforms such as Swiggy, Zomato, DoorDash, Uber Eats, Grubhub, Deliveroo, Talabat, Careem, Foodpanda, or any other platform where restaurants receive refund, adjustment, order, settlement, and payout reports.

Yes. Cointab can show food delivery platform refunds that do not clearly match POS orders, cancellations, or internal refund records.

Yes. POS refunds, cancelled orders, or internal refund records that do not clearly match platform refunds can be shown separately for review.

Yes. Partial refunds, full refunds, over-refunds, under-refunds, complaint refunds, cancellation refunds, and goodwill refunds can be compared where data is available.

Yes. Duplicate refund IDs, order IDs, platform order IDs, customer references, amounts, or settlement adjustment lines can be flagged for review.

Yes. Failed, pending, rejected, reversed, delayed, retried, and unresolved refund statuses can be compared across platform, POS, settlement, bank, and accounting records.

Yes. Refunds related to missing items, wrong items, quality issues, late delivery, packaging issues, customer complaints, and goodwill adjustments can be included where data is available.

Yes. Chargebacks, refund reversals, payment reversals, platform corrections, and settlement reversals can be compared where data is available.

Yes. Settlement reports can be added to check whether refunds correctly reduced or adjusted food delivery platform payouts.

Yes. Bank statements can be added to compare payout reversals, refund-related debits, settlement credits, UTRs, and bank references.

Yes. GST, VAT, sales tax, service tax, TCS, TDS, taxable value reversal, tax collected, tax deducted, and tax reversals can be compared where data is available.

Yes. Cointab can support platform-level, outlet-level, city-level, brand-level, franchisee-level, entity-level, refund-level, settlement-level, and accounting-level views where the required data is available.

Yes. Once this template is selected and the workflow is used, the same setup can be reused for daily, weekly, monthly, business-day, outlet-wise, refund-cycle, settlement-cycle, payout-cycle, or custom reconciliation periods.

Yes. Once configured, Cointab can receive or pull required reports through email, SFTP, or APIs where available, run reconciliation automatically, and push output back to downstream systems.

Cointab validates uploaded files against the expected format. If the file format is different, users can correct the file, update the workflow, or create a custom reconciliation.

Yes. AI can help match difficult open records, review messy refund references, analyze refund and settlement differences, create derived columns, and suggest possible reasons and next actions.

Yes. Users can manually match records that the system and AI could not confidently match, and undo manual matches if needed.

Yes. Users can download Excel reports with fully matched, partially matched, refunded, reversed, deducted, unmatched, skipped, refund-level, order-level, outlet-level, platform-level, settlement-level, bank-level, and accounting-level details.

Start Food Delivery Refund Reconciliation

Use Cointab's ready-made food delivery refund reconciliation workflow to match platform refunds, POS orders, cancellations, complaint refunds, chargebacks, reversals, settlement impact, bank entries, accounting postings, review exceptions, and export audit-ready reports.

Start this reconciliationSchedule guided setup
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Ready-made workflow · Reusable every period · Manual upload and automation supported

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