Retail Reorder Assistant
Real/fictive case: reorder assistant using sales history and seasonality signals.
Situation
Reorder decisions were manual and based on fragmented spreadsheet exports.
Challenge
Frequent stockouts on key items and overstock on long-tail references.
Solution
Recommendation workflow with dynamic thresholds and low-stock critical alerts.
Stack
Python, SQL, CSV pipelines
Implementation
Sales normalization, versioned business rules, and actionable reorder outputs.