Operations Data Consolidator

Pro v1.0.0 1 view

Consolidate multiple CSV files from different operational systems into unified datasets with summary reports and key metrics.

What You Get

Combine shipping invoices, inventory exports, and sales reports into one unified dataset with actionable insights, all in under 5 minutes. Get comprehensive analysis with anomaly detection, profitability breakdowns, and specific recommendations with projected impact.

The Problem

Operations teams waste hours each month manually consolidating data from multiple systems (FedEx, UPS, Shopify, inventory management) into Excel. Different date formats, column names, and data structures make this tedious and error-prone. They need quick insights on shipping margins, inventory discrepancies, and carrier performance but spend most of their time on data prep instead of analysis.

The Solution

This skill automates the entire consolidation workflow using Python and pandas. It loads multiple CSV files, standardizes inconsistent formats (dates, currencies, column names), joins data on common keys (date, SKU, order ID), calculates relevant metrics, identifies anomalies, and generates comprehensive reports with actionable recommendations. Users simply provide file paths and context, then receive unified datasets and executive summaries with specific next steps and projected impact estimates.

How It Works

  1. 1 Load CSV files and analyze structure (columns, date formats, data quality)
  2. 2 Standardize data formats (dates to YYYY-MM-DD, parse currencies, map column names)
  3. 3 Determine join strategy with user (join keys, aggregation level, join type)
  4. 4 Execute Python-based consolidation with pandas (join datasets, calculate metrics)
  5. 5 Analyze for insights and anomalies (negative margins, variances, trends, outliers)
  6. 6 Generate comprehensive report (summary, breakdowns, insights, recommendations with impact)
  7. 7 Provide downloadable unified CSV files for further analysis

What You'll Need

  • 2-10 CSV files from operational systems
  • Context about what each file contains
  • At least one common join key across files (date, SKU, order ID, tracking number)
  • Python 3 with pandas library installed
  • Read/write access to /tmp/ directory

Get This Skill

Requires Pro subscription ($9/month)

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