Python portfolio applied to Supply Chain & Operations: OTIF KPI, Inventory ABC/ROP, and report automation (Excel).

Interactive Excel logistics dashboard tracking OTIF, SLA compliance, delay trends and return rates across 200 shipments — revealing a 42.5% SLA breach rate and 235% increase in delays from January to July.

Creation a logistics and supply chain dashboard for OTIF Analysis

AI-powered supply chain platform: OTIF Compliance Copilot + Exception Brain. Built with Claude API, Next.js 16, Supabase. UAE/GCC market.

[1] What if delays are not random - but predictable?

This dashboard was created at the request of the Trading House Director to provide a comprehensive view of business performance.

This project contains two PostgreSQL queries used to build widgets for an **OTIF (On-Time In-Full) dashboard**, which helps monitor supplier performance and delivery accuracy across clients and distribution centers.

Interactive analysis tool that quantifies the full cost of short-shipping orders for a specialty food brand. Eight cost dimensions, adjustable parameters, buffer simulation, and exportable PDF. React + Python.

Análise de dados logísticos com o dataset DataCo Smart Supply Chain — OTIF, lead time e taxa de atraso por região, modal e categoria.

Dashboard Power BI para métricas OTIF (On-Time In-Full). Relatórios executivos e modelo semântico.

End-to-end supply-chain analytics control tower: SKU-level demand forecasting, safety stock & reorder optimization (OR-Tools), OTIF and vendor scorecards. Built with Airflow, dbt, DuckDB, and Streamlit.

Power BI dashboard analyzing OTIF, OT, IF, LIFR and VOFR metrics to improve supply chain service levels and operational performance.

OTIF blind spot diagnostic — reconciles internal fulfillment metrics against retailer scorecards and quantifies the gap. Python + Dash.

📊 Analyze supply chain KPIs, manage inventory, and automate reporting using Python for data-driven operations and decision-making.