otif

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).

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.

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?

Supply chain KPIs with dbt: ABC inventory classification, OTIF, supplier performance | PostgreSQL

End-to-end supply chain analytics project analyzing supplier delivery, forecast accuracy, inventory exposure and quality risk using Power BI and SQL

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.

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

Creation a logistics and supply chain dashboard for OTIF Analysis

OTIF scoring in LangGraph: deterministic core, LLM at the edges. Typed state, SQLite checkpointing, human-in-the-loop interrupts, versioned scoring policies.

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

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

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

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.

Las ineficiencias en la cadena de suministro representan una fuga del 5-15% de los ingresos en empresas de manufactura y construcción. Este proyecto es una solución **End-to-End** diseñada para proporcionar visibilidad operativa y decisiones proactivas.

Excel dashboard for analyzing Outbound Order Fulfillment and OTIF (On-Time In-Full) performance using Pivot Tables and Excel formulas.

📊 Интерактивный дашборд OTIF и финансовых показателей логистики на Python Dash

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.