ecom

What problem does it solve?

Turn raw order transaction CSVs into a concise, consultant-style ecommerce business review that highlights momentum, structural health, and prioritized next actions so non-technical store owners and analysts can understand what's driving revenue and what to fix.

Core Features & Use Cases

• Multi-horizon KPI analysis: Computes 30d, 90d, and 365d KPIs with prior-period comparisons and decompositions.
• Health checks & KPI trees: Produces pass/watch/fail diagnostics that power 🟢/🟡/🔴 signals in a readable KPI tree.
• Structured findings & action plan: Outputs a REVIEW.md (or period-specific REVIEW_*.md) with What/Why/What-to-do findings and a prioritized action plan with guardrails.
• Focused queries: Supports inline answers for natural-language questions (e.g., "how's retention looking?") without generating a full report.
• Reference-driven interpretation: Loads on-demand narrative templates, cluster logic, and recommended-actions to ground recommendations.

Quick Start

Place your orders CSV in the working directory and run the review command (for example: /ecom review) to produce a REVIEW.md in the output folder.