Tata Cliq Marketplace Reconciliation Using OMS Data
Tata Cliq marketplace reconciliation becomes much easier when finance teams compare marketplace reports with internal OMS data in a structured workflow. Instead of relying on Excel formulas, repeated file comparisons, and manual exception checks, Cointab helps teams upload the relevant reports, map fields once, run reconciliation, and review matched and unmatched records in one place.
This is useful for sellers that want to compare orders, settlements, payments, fees, returns, refunds, and deductions between Tata Cliq and their internal Order Management System. The same setup can be reused for future periods, which reduces repeat work and helps teams keep month-end reporting more controlled.
Why Tata Cliq reconciliation needs both marketplace and OMS data
A Tata Cliq reconciliation usually involves comparing your internal sales or OMS records with marketplace-side reports. The goal is to understand whether every order, payout, refund, fee, and deduction has been recorded correctly.
When teams do this manually, common issues include:
- settlement amounts not matching OMS order values
- payment entries appearing in one system but not the other
- refunds or returns being recorded differently
- fees, commissions, or deductions reducing the payable amount
- late or missing files delaying close activities
- inconsistent matching logic across team members
Cointab helps standardize this process so finance teams can separate fully matched items from exceptions and focus only on records that need review.
How Cointab structures Tata Cliq marketplace reconciliation
Cointab follows a Side A and Side B model.
Side A: your internal records
Side A contains the records your business expects to be correct. For Tata Cliq reconciliation, this is usually the OMS or internal order data.
Examples include:
- sales orders
- order management exports
- invoice or ledger records
- internal payment working files
- refund or return working data
Side B: Tata Cliq marketplace records
Side B contains external records received from Tata Cliq. These may include marketplace sales, settlement, or payment-related reports used for reconciliation.
Supporting data for enrichment
If your OMS data needs extra context before matching, Cointab can use supporting data such as:
- product master files
- SKU mapping files
- customer or store mapping files
- return reports
- fee or tax reference data
- other lookup files needed for enrichment
Supporting data is not reconciled directly. It is used to prepare the primary data before reconciliation begins.
Derived columns for cleaner matching
Some Tata Cliq workflows need calculated fields before matching can happen. Cointab supports derived columns so finance teams can create fields such as:
- cleaned order IDs
- normalized reference numbers
- net amounts
- refund amounts as negatives
- amount after fee
- combined identifiers
This helps teams handle data that does not arrive in a perfectly consistent format.
What Cointab matches in the Tata Cliq workflow
Cointab can compare records using identifiers, amounts, and business rules. In a Tata Cliq marketplace reconciliation, teams often match on:
- order ID
- transaction ID
- invoice number
- payment reference
- settlement ID
- refund reference
- SKU or item reference
- amount
- transaction date
The reconciliation engine supports structured matching logic, including one-to-one, one-to-many, many-to-one, and grouped comparisons. That matters when a single order is split across multiple entries, or when multiple records need to be netted before a match can be confirmed.
Common Tata Cliq reconciliation outcomes
Once the reconciliation runs, Cointab separates the report into clear outcome buckets.
Fully matched
These are records where the identifier and amount align according to the configured logic. For example, an internal order record matches a Tata Cliq report entry for the same order and value.
Partially matched
These are records where the identifier matches but the amount does not. This is important for identifying issues such as deductions, short payments, fee differences, or rounding differences.
Unmatched
These records appear on one side but not the other. Examples include:
- an OMS order not found in the Tata Cliq report
- a Tata Cliq settlement entry not found in the OMS
- a payment or refund entry missing from internal records
Skipped
Skipped records are rows that were not included in reconciliation because of a file issue, invalid value, missing field, duplicate row, or other configured rule.
Keeping skipped records visible is useful because it shows what was ignored and why.
How finance teams use the report output
After reconciliation is complete, users can review the report dashboard and drill into transaction-level details. Typical report views include:
- total summary
- fully matched summary
- partially matched summary
- unmatched summary
- skipped summary
- filtered transaction tables
- detailed match views
- downloadable Excel report
This makes it easier to trace why a settlement amount differs from the OMS view and what action is needed next.
Handling missing files and late reports
Marketplace reconciliation often depends on multiple reports arriving on time. If a Tata Cliq file or internal OMS export is missed, the same reconciliation can be updated later by uploading the missing file and refreshing the report.
That is useful for real finance operations, where partner reports sometimes arrive after the initial close process has already started.
Reusable setup for recurring Tata Cliq reconciliation
A major advantage of Cointab is reuse. Once the Tata Cliq reconciliation has been configured, teams do not need to rebuild it each time.
For future runs, users can simply:
- select the reconciliation setup
- choose the period
- upload the required files or receive them automatically
- run reconciliation
- review the report
This reduces repeated setup work and helps teams maintain consistent logic across periods.
Automation for recurring finance workflows
For teams that reconcile Tata Cliq data regularly, Cointab can support automated data flow through email, SFTP, or API-based input. Reconciliation can be scheduled once the required data is available, and output can also be pushed back to other systems if needed.
This is especially useful for:
- daily or weekly marketplace checks
- month-end close support
- recurring settlement analysis
- finance operations that need structured reporting
Manual match support for exception items
Not every record will match automatically. When the system and AI cannot confidently match an item, users can manually match transactions if the amounts and business context support it.
Manual matches remain clearly marked, and users can undo them if needed. This gives finance teams flexibility without losing auditability.
Why this matters for finance teams
Tata Cliq marketplace reconciliation is not just about finding mismatches. It is about giving finance teams a repeatable process for confirming what was paid, what was deducted, what was refunded, and what still needs review.
With Cointab, teams can move away from fragile spreadsheet-based checks and use a reconciliation workflow that is easier to reuse, easier to review, and better suited for audit-ready reporting.
FAQ
What can be reconciled in a Tata Cliq OMS workflow?
Teams can reconcile orders, settlements, payments, refunds, returns, fees, deductions, and other transaction-level records between internal OMS data and Tata Cliq reports.
Can multiple OMS files be used in one reconciliation?
Yes. Cointab supports multiple files under the same reconciliation setup as long as they follow the configured format and field mapping.
What if the Tata Cliq report structure changes?
If the file format changes, the reconciliation can be updated or reconfigured so the required fields, mapping, and matching logic continue to work correctly.
Can this workflow be reused every month?
Yes. Once configured, the same Tata Cliq reconciliation setup can be reused for future periods instead of building a new workflow each time.
Does Cointab only match exact order IDs and amounts?
No. The reconciliation engine also supports grouped and partial matching, which helps in cases where records need to be netted, split, or compared across multiple entries.
