Summary
Duplicate transactions can appear when the same transaction is received more than once during sync or when there’s an overlap between pending and confirmed entries.
Why This Happens
Duplicates are usually temporary and caused by how banks send transaction data.
1. Pending vs Confirmed Transactions
Some banks first send a pending transaction and later send a confirmed version.
In certain cases, both may briefly appear as separate entries.
2. Bank Re-sending Data
During sync, banks may resend the same transaction:
- After updates or corrections
- Due to API inconsistencies
This can result in duplicate entries being fetched.
3. Sync Overlap Between Cycles
Since Nance syncs automatically based on system activity and time windows, the same transaction may be picked up again if the bank reports it slightly differently across cycles.
4. Manual + Auto Entry Overlap
If you manually added a transaction and the same one later comes from your bank, both will appear as separate entries.
Important to Know
- Most duplicates are temporary and get resolved in later sync cycles
- Nance improves accuracy over time by identifying repeat patterns
- You can manually delete or ignore duplicate entries if needed
- If duplicates persist for a long time, reconnecting your bank account can help reset the sync state
Nance always prioritizes bank-provided data, so confirmed transactions will eventually stabilize into a single accurate record.
from next question onwards give theh heading "summary" in heading 3 formate
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Why does a transaction show incorrect details?
Summary
A transaction may show incorrect details because banks sometimes send incomplete, delayed, or unclear information during sync.
Why This Happens
Nance relies entirely on the transaction data provided by your bank. If something looks incorrect, it’s usually due to how the bank shares that data.
1. Raw Bank Descriptions
Banks often send transaction names in raw or shortened formats (e.g., merchant codes or partial names).
This can make the transaction appear unclear or slightly incorrect.
2. Delayed Updates from Bank
Some transactions are initially shared with limited details and later updated by the bank.
Until the updated data is received, Nance may show incomplete or outdated information.
3. Categorization Mismatch
Nance uses intelligent categorization based on transaction patterns.
In some cases, the category may not perfectly match the actual intent of the transaction.
4. Merchant Identification Limitations
If a merchant is new or uncommon, Nance may not immediately recognize it correctly, leading to incorrect naming or grouping.
Important to Know
- Nance reflects bank-provided data and enhances it where possible
- Details may improve automatically in future sync cycles
- You can edit categories or labels to correct how a transaction is shown
- Over time, Nance learns from your edits and improves accuracy
If something looks off, it’s usually temporary and gets refined as better data becomes available.
Why is a transaction categorized incorrectly
Summary
A transaction may be categorized incorrectly because Nance predicts categories based on patterns, and the available data may not always be clear or complete.
Why This Happens
Nance uses intelligent categorization to automatically assign categories to transactions. In some cases, the prediction may not be accurate.
1. Limited or Unclear Bank Data
If the transaction description from the bank is vague or coded, Nance may not have enough context to assign the correct category.
2. New or Unknown Merchant
When a merchant is new or hasn’t been seen before, Nance may place it in a best-fit category based on similar patterns.
3. Similar Spending Patterns
Some transactions can belong to multiple categories (e.g., a supermarket purchase vs. household items).
Nance may choose one based on past behavior, which may not match your intent.
4. Early-Stage Learning
If you haven’t edited similar transactions before, Nance has less context about your preferences, which can lead to incorrect categorization.
How This Works in Nance
- Categories are the primary authority for organizing transactions
- Nance improves categorization based on your edits over time
- Repeated corrections help the system apply better predictions automatically
Important to Know
- You can manually change the category anytime
- Nance learns from consistent edits and improves future accuracy
- Incorrect categorization does not affect your actual transaction data
- Over time, categorization becomes more precise with usage
If a category looks off, correcting it once helps Nance get it right next time.