Real-time OTIF (On-Time-In-Full) SLA monitoring: SQL window functions, PostgreSQL RLS/materialized views, and Power BI + Power Automate event-driven alerting.

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

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.

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

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

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

Operations analytics that audits its own numbers: OTIF, forecast accuracy, ABC-XYZ and Pareto with a mandatory honesty block. JSON-only, built for AI agents and pipelines.

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

How honest is your on-time KPI? A five-rung OTIF metric ladder, driver-decomposition charts and a Streamlit explorer for delivery-performance data.

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

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

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.

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

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

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.