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Popular reconciliation template

Books vs Swiggy Quick Commerce Reconciliation

Reconcile accounting books with Swiggy quick commerce sales, settlements, commissions, deductions, discounts, returns, refunds, inventory adjustments, and bank receipts in one structured workflow.

Upload your books and Swiggy reports, select the period, run reconciliation, and review fully matched, partially matched, unmatched, and skipped records.

Start this reconciliationSchedule guided setup
View demo report

Ready-made workflow · Reusable every period · Manual upload or automated data flow

Books / ERP Ledger
Swiggy Sales Report
Swiggy Settlement / Deduction Data
Bank Receipt Data

Cointab Swiggy Reconciliation

MatchedPartially MatchedUnmatchedSkipped

Reconcile books with Swiggy quick commerce settlements

Swiggy quick commerce reports can include sales, settlements, commissions, platform fees, discounts, promotions, returns, refunds, claims, deductions, inventory adjustments, and final payout amounts. Cointab helps bring these into a clear reconciliation report.

The Books vs Swiggy Quick Commerce reconciliation helps finance teams compare accounting, ERP, or internal books data with Swiggy quick commerce sales, settlement, deduction, and payout records.

This helps finance teams answer questions such as:

  • Which Swiggy sales are recorded correctly in books?
  • Which entries are present in books but missing in Swiggy reports?
  • Which Swiggy settlement entries do not have a matching book entry?
  • Which commissions, platform fees, discounts, claims, or deductions reduced the payout?
  • Which returns, refunds, shortages, or adjustments explain the difference?
  • Which Swiggy payouts match bank receipts?
  • Which items need follow-up with Swiggy or internal review?

This template is useful for D2C brands, FMCG brands, consumer brands, quick commerce sellers, marketplace finance teams, and accounting teams that need a repeatable Swiggy quick commerce reconciliation process.

Required files for this template

Cointab's ready-made workflow is designed around books or ERP records and Swiggy quick commerce reports used for sales, settlement, deduction, return, inventory, and payout reconciliation.

Data sourceExample records
Books / ERP Ledger ReportUsed as the internal source-of-truth report containing sales entries, invoices, receivables, customer or channel codes, tax amounts, settlement entries, and accounting references.
Swiggy Sales ReportUsed to compare internal book entries with Swiggy order, SKU, invoice, sales, tax, discount, and item-level transaction data.
Swiggy Settlement / Payout ReportUsed to compare Swiggy sales and deduction activity with settlement-level data and final payout amounts.
Deduction / Commission ReportUsed where Swiggy commissions, platform fees, logistics charges, marketing charges, penalties, claims, shortages, or other deductions need to explain settlement differences.
Return / Refund / Adjustment ReportUsed where returns, refunds, cancellations, damaged items, shortages, or post-sale adjustments need to be reconciled separately.
Inventory / SKU ReportOptional, but useful where SKU-level quantities, inventory movements, shortages, stock adjustments, or item-level differences need to be reviewed with sales and settlement data.
Bank StatementOptional, but useful if the finance team also wants to compare Swiggy payouts with actual bank credits.
Supporting DataOptional supporting files can be used for SKU mapping, product mapping, GST or tax mapping, channel mapping, warehouse mapping, invoice mapping, claim logic, deduction logic, or other enrichment.

What Cointab matches in Swiggy quick commerce reconciliation

Cointab compares books, Swiggy sales, settlements, deductions, returns, refunds, inventory adjustments, and bank receipts across internal and external reports.

Books and Swiggy sales records

Match accounting or ERP entries with corresponding Swiggy sales, order, SKU, or invoice records.

Settlement and payout records

Compare expected receivables from Swiggy with actual settlement or payout records.

Commissions and deductions

Track Swiggy commissions, platform charges, logistics fees, marketing charges, penalties, claims, shortages, or other deductions where available.

Discounts and promotions

Review trade discounts, platform-funded discounts, seller-funded discounts, promotional charges, and campaign-related adjustments.

Returns, refunds, and adjustments

Identify whether returns, refunds, cancellations, damaged goods, shortages, or post-sale adjustments are correctly reflected.

SKU and inventory records

Where SKU or inventory data is added, Cointab can help review quantity-level differences, item-level adjustments, and product mapping issues.

Bank and books records, if added

If bank statements are included, Cointab can also compare Swiggy payout records against bank credits and accounting entries.

Common Swiggy quick commerce reconciliation exceptions

Cointab helps finance teams focus on differences instead of manually reviewing every book entry, Swiggy transaction, and payout record.

Book entry not found in Swiggy

A sale, invoice, receivable, or accounting entry appears in books but is not found in Swiggy reports for the selected period.

Swiggy sale without matching book entry

A Swiggy sale or settlement entry appears without a clear matching accounting, ERP, or internal sales record.

Amount mismatch

The invoice, order, SKU, or settlement reference matches, but the amount recorded in books and the amount reported by Swiggy are different.

Commission or deduction difference

Swiggy commissions, platform charges, logistics fees, marketing charges, claims, penalties, or other deductions explain part of the payout difference.

Discount or promotion difference

Seller-funded discounts, platform-funded discounts, campaign charges, or promotional adjustments are not reflected as expected.

Return or refund difference

A return, refund, cancellation, damaged item, shortage, or adjustment appears in one report but does not match expected records.

Settlement timing difference

A sale or adjustment belongs to one period but is settled or paid out in a later Swiggy settlement cycle.

Bank receipt mismatch

The Swiggy payout amount does not match the amount received in the bank statement.

SKU or product mapping mismatch

A SKU, product code, item name, or internal product reference does not map correctly between books and Swiggy reports.

Duplicate or repeated entry

The same invoice, order, SKU, settlement, deduction, return, or refund entry appears more than once or is included in multiple files.

Missing or unclear reference

Invoice number, order ID, SKU, settlement ID, product reference, bank reference, or transaction reference is missing, incomplete, or appears inside a description field.

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 Swiggy quick commerce reconciliation setup every period.

01

Select the template

Choose Books vs Swiggy Quick Commerce from popular reconciliations.

02

Select the period

Choose the day, week, month, quarter, year, lifetime period, or custom period you want to reconcile.

03

Upload books and Swiggy reports

Upload your books or ERP ledger report, Swiggy sales or settlement report, and any required deduction, discount, return, refund, inventory, bank, 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 books and Swiggy quick commerce data.

06

Review output

View fully matched, partially matched, unmatched, 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 transactions where fixed rules are not enough.

Structured matching

Structured matching can use:

Invoice numberOrder IDSKUProduct codeItem IDSettlement IDPayout referenceChannel referenceCustomer or partner codeBank referenceSales amountTax amountDiscount amountCommission amountDeduction amountRefund amountQuantity fieldsDate fieldsDerived or cleaned identifiers

Matching scenarios

  • One-to-one

    One book entry or invoice matches one Swiggy sales or settlement entry.

  • One-to-many

    One book entry maps to multiple Swiggy records such as sale, commission, deduction, discount, refund, adjustment, or settlement entries.

  • Many-to-one

    Multiple Swiggy transactions are grouped into one settlement, payout, bank receipt, or accounting entry.

  • Many-to-many

    Multiple book records and multiple Swiggy records are grouped and compared.

  • Partial matching

    Identifiers match, but amounts differ.

  • Net and contra matching

    Sales, returns, refunds, commissions, discounts, deductions, claims, taxes, and payouts are netted where required.

AI-assisted transaction matching

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

  • References are incomplete
  • SKU or product references do not match directly
  • Descriptions contain embedded invoice, order, SKU, or settlement references
  • Return, refund, or claim entries do not directly map to sales
  • Discount and deduction treatment needs contextual review
  • Amounts require contextual understanding
  • Sale date and settlement date fall in different periods
  • Multiple possible matches exist

AI exception analysis

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

Settlement timing differenceMissing Swiggy reportReturn or refund adjustmentCommission or platform fee differenceDiscount or promotion differenceClaim or shortage deductionSKU mapping issueBank receipt mismatchDuplicate entryInternal books or ERP data issueMissing invoice, order, or SKU reference

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

Audit-ready Swiggy quick commerce reconciliation reports

Cointab gives your team a clear report showing which books and Swiggy transactions matched, partially matched, remained unmatched, or were skipped.

Report categories

  • Fully matched

    Books and Swiggy records where identifiers and amounts match.

  • Partially matched

    Records where identifiers match but amounts differ.

  • Unmatched in books

    Swiggy sales, settlements, deductions, returns, refunds, or adjustments that do not clearly match accounting or ERP records.

  • Unmatched in Swiggy

    Book entries, invoices, receivables, or internal sales records that are not found in Swiggy reports.

  • Skipped

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

Report capabilities

  • Summary cards
  • Transaction-level details
  • Filters for review
  • SKU-level view
  • Settlement-level view
  • Difference amounts
  • Matched transaction drill-down
  • Manual match
  • Undo manual match
  • Excel export
  • Audit-friendly output

Automate recurring Swiggy quick commerce 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:

DailyWeeklyMonthlyEnd of dayAfter file receiptAfter all required files are availableAt a custom frequency
3

Push output back

Send reconciliation output to:

ERPAccounting systemBI dashboardInternal finance systemAnalytics databaseData warehouseInternal exception trackerMarketplace operations system
  • Matched Swiggy records
  • Unmatched books records
  • Unmatched Swiggy records
  • Commission or fee differences
  • Discount or promotion differences
  • Return or refund differences
  • Claim or shortage deductions
  • SKU-level exceptions
  • Bank receipt differences
  • Open items
  • Suggested actions
  • Excel reconciliation report
  • Structured API output

View a Swiggy quick commerce reconciliation demo report

See how Cointab presents Books vs Swiggy Quick Commerce output with matched, partially matched, unmatched, and skipped transactions.

Books vs Swiggy Quick Commerce Demo

Explore a sample report showing book entries, Swiggy sales, deductions, discounts, returns, refunds, settlements, bank receipts, and open items.

View demo report
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Explore related quick commerce and marketplace reconciliations

Cointab supports other marketplace, quick commerce, settlement, and payout reconciliation workflows.

Books vs Blinkit Quick Commerce

Reconcile books with Blinkit sales, settlements, deductions, discounts, returns, refunds, and bank receipts.

View template

Books vs Zepto Quick Commerce

Reconcile books with Zepto sales, settlements, deductions, discounts, returns, refunds, and bank receipts.

View template

Marketplace Sales vs Settlement

Use a general marketplace reconciliation workflow for sales, returns, deductions, settlements, and payouts.

View template

Bank Statement vs Sales Receipts

Match bank credits with expected sales or collection records.

View template

Built for teams reconciling Swiggy quick commerce settlements

This template is useful for teams that regularly reconcile books, Swiggy sales, commissions, deductions, discounts, returns, settlements, and bank receipts.

D2C brands

For brands selling through Swiggy quick commerce channels and reconciling settlements with books, sales, and receivables.

FMCG and consumer brands

For teams handling SKU-heavy sales, claims, deductions, inventory adjustments, and quick commerce payout differences.

Marketplace finance teams

For teams managing high-volume marketplace and quick commerce sales, returns, deductions, and settlement data.

Accounting teams

For teams preparing reconciliation reports for month-end close, books, receivables, revenue review, and audit.

Operations teams

For teams that need visibility into SKU-level differences, deductions, claims, shortages, and unresolved exceptions.

Outsourced finance teams

For accounting firms or finance operations teams handling quick commerce reconciliation for multiple clients.

Trusted by teams handling quick commerce and marketplace reconciliation

Cointab is used by finance and operations teams that reconcile high-volume, multi-source transaction data across quick commerce platforms, marketplaces, payments, banks, partners, and internal systems.

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  • Abhibus logo
  • Confirmtkt logo
  • Keventers logo
  • Lotus Herbals logo
  • The Belgian Waffle Co logo
  • PharmEasy logo
  • FormulaRX logo
  • Borosil logo
  • Croma logo
  • Checkers logo
  • Charleys logo
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  • FoxTale logo
  • Newtap logo
  • Vibgyor School logo
  • Gameskraft logo
  • Recode Studios logo
  • Bonkers Corner logo

“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

Books vs Swiggy Quick Commerce FAQs

It is the process of comparing accounting books, ERP, or internal sales records with Swiggy quick commerce sales, settlement, deduction, return, refund, and payout data to identify matched records, amount differences, deductions, and open items.

The main files are usually the books or ERP ledger report and Swiggy sales or settlement report. Depending on the workflow, deduction, commission, discount, return, refund, inventory, bank, or supporting data files may also be used.

Yes. Where commission, platform fee, logistics charge, marketing charge, claim, shortage, penalty, or deduction data is available in the reports, Cointab can use it to explain settlement differences.

Yes. Discount and promotion data can be included in the workflow so the team can review seller-funded discounts, platform-funded discounts, campaign charges, and promotional adjustments.

Yes. Return, refund, cancellation, damaged item, shortage, and adjustment data can be included in the workflow so the team can review how these items affect settlement amounts.

Yes. SKU, product code, item ID, product mapping, and quantity fields can be used to review SKU-level differences where the required data is available.

Yes. If bank statement data is added, Cointab can compare Swiggy payout records with actual bank credits and identify receipt differences.

Yes. Once this template is selected and the workflow is used, the same setup can be reused for future 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 transactions, review messy references, analyze exceptions, and suggest possible reasons and next actions.

Yes. Users can manually match transactions 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, unmatched, skipped, and transaction-level details.

Start Books vs Swiggy Quick Commerce reconciliation

Use Cointab's ready-made Swiggy reconciliation workflow to match books with quick commerce sales, identify settlement differences, review exceptions, and export audit-ready reports.

Start this reconciliationSchedule guided setup
View demo report→

Ready-made workflow · Reusable every period · Manual upload and automation supported

CointabCointab

Reconciliation automation for finance teams. Match sales, payments, marketplaces, banks, and partner reports with reusable workflows and audit-ready reports.

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