Vendor OTIF Analysis App

Vendor OTIF Analysis – Power BI Dashboard Overview

Timely and complete vendor deliveries are critical to seamless production and procurement workflows. The Vendor OTIF Analysis Dashboard provides actionable visibility into vendor delivery performance—helping teams monitor delays, evaluate fulfillment quality, and identify systemic inefficiencies.

By comparing expected vs. actual delivery durations and categorizing orders by condition and timeliness, this dashboard supports vendor accountability and proactive supply chain optimization. Operations and procurement leaders can use these insights to negotiate better SLAs, address delay causes, and ensure consistent material flow.

🔧 Technical Framework

The dashboard is powered by a structured Excel dataset that captures delivery dates, expected timelines, order status, and fulfillment condition.

Key Components:

Data Source: Manually maintained Excel files recording purchase orders, vendor names, expected vs. actual delivery dates, and reasons for non-delivery.

Data Preparation: Performed using Power Query to format dates, calculate delivery gaps, and classify delivery conditions (Full or Partial).

Data Model Dimensions:

Time (Calculated Delivery Gaps in Days)

Vendor

Delivery Status (Received / Not Received)

Delivery Condition (Full / Partial)

Delivery Timing (Late / Early / On-Time)

Reason for Delay (for pending deliveries)

This model is extendable to ERP or procurement systems with delivery tracking modules.

🎛️ Interactive Filters

Filters provide flexibility for user-driven insights and targeted issue detection:

Vendor: Analyze performance by supplier across all metrics and timelines.

Condition: Separate analysis by Full or Partial delivery fulfillment.

These filters help isolate supplier issues, identify recurring shortfalls, and support corrective action planning.

📊 Dashboard Report Highlights

a. KPI Cards – Average Delivery Duration

Average Expected Delivery (Days): The planned delivery timeline across all purchase orders.

Average Actual Delivery (Days): The real delivery performance—used to detect systematic delays.

b. Pie Chart – Orders by Condition

Breaks down orders into Full vs. Partial deliveries, offering insight into vendor compliance and order fulfillment quality.

c. Bar Chart – Orders by Delivery Timing

Categorizes deliveries into Late, Early, and On-Time, helping procurement teams pinpoint timing issues and set realistic vendor expectations.

d. Table – Purchase Orders Not Yet Received

Lists open POs with expected delivery days, days past due, and the reason for delay—enabling real-time exception handling and vendor follow-up.

e. Table – Purchase Orders Received

Summarizes actual vs. expected delivery days for completed orders, with delivery condition noted. This helps benchmark vendor reliability over time.

This Vendor OTIF Analysis Dashboard transforms raw delivery data into a robust evaluation tool—supporting smarter sourcing decisions, stronger vendor relationships, and a more resilient supply chain.