On Time In Full (OTIF) – Delivery Performance Analysis

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.
Solution
  • Implemented the OTIF system to track delivery performance and identify reasons for delays, ensuring accurate and timely reporting.
  • Developed root cause analysis tools to pinpoint underperformance issues, enabling targeted improvements and enhanced efficiency.
  • Established performance benchmarks across regions, providing a standardized framework for measuring and improving delivery performance.
  • Utilized Databricks to support in-depth delivery performance analytics and benchmarks, providing actionable insights and improving decision-making.
  • Deployed advanced analytics and reporting tools using Power BI, providing visualizations and dashboards for delivery performance metrics and trends.
  • Leveraged Azure's scalable infrastructure to handle large volumes of delivery data, ensuring high performance and reliability.
  • Integrated SAP S/4HANA for real-time data processing and ERP functionalities, ensuring seamless integration with existing business processes.
  • Implemented SAP Analytics Cloud for predictive analytics and scenario planning, enhancing the ability to forecast and mitigate delivery delays.
  • Utilized SAP Integrated Business Planning (IBP) for demand-driven planning and supply chain optimization, improving overall delivery performance.
  • Deployed SAP Ariba for supplier collaboration and performance management, ensuring timely and reliable deliveries from suppliers.
  • Implemented automated workflows and notifications using SAP Cloud Platform to improve communication between departments, ensuring timely responses and consistent performance tracking.
Key Results
Improved On-Time Delivery

On-time delivery rates improved by 90%, significantly enhancing customer satisfaction and operational efficiency.

Reduced Delivery Delays

Reduced delivery delays by 25%, ensuring more timely and reliable deliveries.

Enhanced Analytics Capabilities

Enhanced analytics capabilities through large-scale data analysis, providing actionable insights and enabling data-driven decision-making.

Technology
  • Databricks

  • Azure

  • Python

  • SQL

  • Power BI

  • SAP S/4HANA

  • SAP Analytics Cloud

  • SAP Integrated Business Planning (IBP)

  • SAP Ariba

  • SAP Cloud Platform