On Time In Full (OTIF) – Delivery Performance Analysis
Databricks
Overview
The OTIF system was designed to monitor whether finished goods were delivered on time and in full, as per commitments. This system aims to enhance delivery performance, identify root causes of delays, and provide actionable insights to improve overall supply chain efficiency.
Challenge
- Inconsistent tracking of delivery performance led to inaccurate reporting and delayed issue resolution.
- Lack of root cause analysis for delivery delays hindered the ability to identify and address underlying issues effectively.
- Disparate systems and manual processes made it difficult to gain a comprehensive view of delivery performance across regions.
- Limited analytics capabilities affected the ability to set and monitor performance benchmarks, impacting overall supply chain efficiency.
- Existing tools struggled to handle large volumes of delivery data, affecting the ability to derive actionable insights and make data-driven decisions.
Technology Stack
Databricks
Azure
Python
SQL
Power BI
SAP S/4HANA