AJIO Marketplace Reconciliation Automation
Cointab helps finance teams automate AJIO marketplace reconciliation by matching internal records with marketplace reports, settlement files, payment data, return information, and bank statements. Instead of managing the process in spreadsheets, teams can upload files, map fields once, run reconciliation, review exceptions, and download audit-ready reports.
This makes it easier to track orders, payments, deductions, refunds, and settlement differences across AJIO-related workflows. Finance teams can use the same reconciliation setup again for future periods, which reduces repetitive work and improves consistency across monthly close cycles.
Why AJIO marketplace reconciliation becomes difficult
AJIO sellers often need to compare multiple records across different systems and reports. A single transaction may appear in an order report, payment report, settlement report, return report, tax file, or bank statement, each with different identifiers and reference formats.
Common challenges include:
- Orders that appear in one report but not another
- Settlement values that differ from expected amounts
- Returns, refunds, or cancellations affecting final payout
- Fees, deductions, and adjustments that need review
- Bank credits that do not line up with marketplace settlement records
- Repeating the same checks every month in Excel
Manual reconciliation can slow down month-end close and make it harder to maintain a reliable audit trail. Cointab replaces repeated spreadsheet work with a structured reconciliation workflow.
How Cointab supports AJIO reconciliation
Cointab uses a Side A and Side B model.
- Side A contains the records your business expects to be correct, such as internal order data, sales data, books, or ERP exports.
- Side B contains records received from external systems, such as AJIO marketplace reports, settlement files, payment data, or bank statements.
For AJIO reconciliation, finance teams can compare combinations such as:
- Internal order report vs AJIO payment report
- AJIO sales data vs settlement data
- Settlement report vs bank statement
- Marketplace records vs books
- Return or deduction reports vs internal working files
Use a popular or custom reconciliation setup
Cointab supports two ways to configure AJIO-related workflows.
Popular reconciliation setup
If the report structure is standard and repeatable, teams can use a predefined reconciliation workflow. This is useful when the same AJIO-related file pattern is used every period and the reconciliation process does not change frequently.
Custom reconciliation setup
If your internal process needs a different structure, Cointab also supports custom reconciliation. Teams can define their own Side A and Side B reports, map required columns, upload supporting data, and reuse the setup for later periods.
This is useful when AJIO records must be reconciled with internal ERP data, bank files, tax files, or additional partner reports.
Field mapping, supporting data, and derived columns
To prepare a reconciliation run, users map required fields such as:
- Date
- Amount
- Reference or identifier columns
Identifiers may include order IDs, transaction IDs, payment references, settlement IDs, bank references, invoice numbers, or other business keys.
Cointab also allows optional supporting data to help prepare the reconciliation. For AJIO workflows, this can be useful for enrichment, lookup, or calculation before matching.
Examples of supporting data include:
- Product master files
- Marketplace mapping files
- Order metadata
- Return files
- Fee or tax reference files
- Customer or vendor master data
Users can also create derived columns. For example, a team may need a normalized order reference, a net amount after deductions, or a cleaned transaction ID before matching.
AI can help generate Excel-style formulas for these derived columns, which saves time for finance users who know the rule but do not want to build the formula manually.
How reconciliation and exception handling work
Once the files are mapped, Cointab runs structured matching logic to compare records across both sides. The engine supports:
- One-to-one matching
- One-to-many matching
- Many-to-one matching
- Many-to-many matching
- Net-to-net comparison
- Partial matching
- Contra matching
After structured matching is complete, AI can help analyze remaining open items where deterministic rules are not enough. This is useful for inconsistent references, missing identifiers, or complex settlement scenarios.
The reconciliation report clearly separates records into:
- Fully matched: amount and reference align according to the rules
- Partially matched: reference matches, but the amount differs
- Unmatched: records found on one side but not the other
- Skipped: rows excluded because of missing or invalid data
This helps teams focus on exceptions instead of reviewing every line manually.
Reports teams review during AJIO reconciliation
The exact report structure can vary by process, but AJIO marketplace reconciliation commonly involves a combination of these records:
- Order data
- Payment or payout data
- Settlement data
- Return data
- Deduction or fee data
- Bank statement data
- Tax or statutory reference data
The report dashboard gives finance teams a view of what matched, what did not match, and what needs follow-up. Users can filter records, inspect transaction-level details, and download the Excel reconciliation report for review and audit purposes.
Benefits for finance and marketplace teams
Cointab helps AJIO sellers and finance teams reduce repetitive work and improve control over marketplace accounting.
Key benefits include:
- Faster reconciliation cycles
- More consistent matching logic
- Clear visibility into exceptions and open items
- Less reliance on manual Excel formulas and VLOOKUPs
- Reusable setup for future periods
- Better support for month-end close and reporting
- Audit-ready output for internal review and partner follow-up
For recurring workflows, teams can also automate data receipt and reconciliation runs using email, SFTP, or API integrations. This helps move AJIO reconciliation from a manual file-upload task to a repeatable finance process.
Team collaboration and report history
Cointab supports shared team workspaces, so multiple users can work from the same reconciliation history instead of exchanging spreadsheets over email. Teams can review previous runs, see who executed a reconciliation, and keep reports available for future reference.
If a file was missed earlier, users can upload the missing file under the same reconciliation and refresh the report. This is useful in real finance operations, where marketplace and bank reports often arrive at different times.
Typical AJIO reconciliation outcomes
In a marketplace workflow, finance teams usually want to know whether:
- An order was paid and settled correctly
- A deduction or fee explains the difference
- A return or cancellation changed the expected amount
- A payout reached the bank at the right value
- A record is missing from one side and needs review
Cointab helps make each of these outcomes visible in a structured report, so teams can move from spreadsheet checks to a repeatable reconciliation workflow.
FAQ
What can be reconciled in an AJIO workflow?
Teams can reconcile internal order or sales records against AJIO payment, settlement, return, fee, tax, or bank data depending on the workflow they need to manage.
Can AJIO reconciliation be reused for future periods?
Yes. Once a reconciliation is configured, the same setup can be reused for later periods by uploading the new files and running the workflow again.
What if a transaction does not match automatically?
Cointab shows unmatched or partially matched items clearly. Users can review the open items, apply filters, and use manual match where the business context supports it.
Can the reconciliation process be automated?
Yes. After setup, Cointab can support recurring reconciliation through automated data input and scheduled runs using email, SFTP, or API-based workflows.
Does the report show skipped records too?
Yes. Skipped records are visible so finance teams can see which rows were excluded and why, instead of losing track of incomplete or invalid data.