AI compatibility

Messy spreadsheet consolidation like this is a clean win for a code agent.

Good fit

AI can handle this.

Average across 1 submission.

avg / 100

The honest read

This is a well-scoped data normalization and consolidation task with clear inputs, defined output format, and recoverable errors. The main challenge is fuzzy SKU matching across inconsistent naming conventions, but that's exactly the kind of pattern-matching work where a code agent excels. Human review of the deduplication logic before final export is advisable but not strictly required.

Aggregated across 1 submission.

The five dimensions

Repeatability

High

The task structure is consistent: read sheets, normalize SKUs, deduplicate, aggregate counts, export CSV. If run again on updated data, the same logic applies with minimal changes.

Ambiguity Tolerance

Medium

The output format and fields are clear, but the SKU standardization rules are not fully specified — the agent must infer a canonical format from examples like 'Bordeaux-Cab-2019' vs 'BDXCAB19'. A human should validate the mapping logic before trusting the output.

Data & Tool Availability

High

The workbook is a self-contained file the user can upload directly. No external APIs, live systems, or credentials are needed — just file access and a Python or spreadsheet environment.

Error Cost

Medium

A bad deduplication merge could silently miscount inventory, which matters for a real business. However, the original spreadsheet is preserved and the CSV output can be reviewed before import, making errors recoverable.

Human Judgment Required

Medium

Matching 'BDXCAB19' to 'Bordeaux-Cab-2019' requires inferring domain conventions the agent may not have. A human familiar with wine naming should spot-check the SKU mapping table before the CSV is imported into production software.

What an agent would need

Access to the Excel workbook file containing all 6 sheets
A defined or inferred canonical SKU format to normalize against (e.g., Region-Varietal-Vintage)
Deduplication logic: rules for merging rows that represent the same wine across sheets
Python or equivalent scripting environment with pandas/openpyxl, or a capable spreadsheet tool
A sample of known correct SKU mappings or a reference list to validate fuzzy matching output

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