Sales Order Analysis Report

Sales Order Analysis Report - User Guide

🧭 Analytical Flow

graph TD
    Booking[Sales Order Register] --> Analysis[Pending Order Aging]
    Analysis --> Performance[Delivery Performance %]
    Performance --> Audit[Dispatch Summary]
    Marketing[Marketing Activity] --> Booking
    
    style Performance fill:#bbf,stroke:#333,stroke-width:2px

1. Introduction 📊

The Sales Order Analysis Report is a strategic tool designed for Sales Managers, Production Planners, and Business Analysts. Use this to monitor the complete flow from Sales Order creation to final audit.

This report is essential for maintaining high customer service levels and optimizing production schedules.

2. Report Types & Analysis Use Cases 🚀

The module offers five specialized report types, each serving a unique business need:

A. Sales Order Register

• Purpose: A chronological log of all Sales Orders booked within a specified period.
• Best For: Daily/Weekly sales reconciliations and checking overall booking volume.
• Key Data: Order No, Date, Type (Direct/Proforma/Quotation), Party name, Item details (Qty, Rate, Value), and Order Status.

B. Pending Order Report

• Purpose: Identifies orders that have been accepted but not yet fully dispatched (Invoiced).
• Best For: Production Planning and Customer Communication. It helps identify which items are stuck and for how long.
• Aging Analysis: Features a unique Color-Coded Aging System based on lead time:
  • 🟢 Green: Age < 1/3 of Lead Time (On Track).
  • 🟡 Yellow: Age < 2/3 of Lead Time (Needs Attention).
  • 🔴 Red: Age < Lead Time (Critical).
  • ⚫ Black: Age > Lead Time (Overdue).

C. Delivery Performance

• Purpose: Measures the reliability of the supply chain by comparing Ordered Qty vs. Invoiced Qty.
• Best For: KPI Tracking and Vendor Performance reviews from the customer’s perspective.
• Key Data: PO Qty, Invoice Qty, Performance Percentage (%), and Dispatch delays (Aging).

D. Marketing Activities

• Purpose: Tracks the “Front-end” of the sales process.
• Best For: Monitoring Sales Executive Productivity and customer engagement.
• Key Data: Task No, Interaction Type (Call/Visit/Meeting), Executive Name, Duration (Minutes), and specific Activity Details.

E. Dispatch Summary

• Purpose: Provides a detailed summary of goods that have left the factory.
• Best For: Logistics Audit and Revenue Recognition.
• Key Data: Invoice No, Date, PO Reference, Transporter Name, Vehicle Details, LR No, and Dispatch Qty.

3. Data Visibility & Insights 🔍

Each report provides comprehensive data fields to support deep-dive analysis:

4. Source Transactions 🔄

The data in these reports is synthesized from various core modules within the ERP:

1. Sales Order Module: Source for Sales Order Register and Pending Order (Table: Orders).
2. Sales Invoice Module: Source for Dispatch Summary and Delivery Performance comparison (Table: Invoice).
3. Task Management: Source for the Marketing Activity Report (Table: Marketing Activity).
4. Logistics Tracking: Updates the Dispatch Summary with Lorry Receipts (LR) and Transporter details.

5. Using the Report Interface 🛠️

Selection Filters

• Report By: Filter results by All, Party Group, Party Name, Item Group, or Item Name to narrow down your analysis.
• Unit: Select a specific business unit or “All Units” for a consolidated view.
• Date Range: Define the period for analysis. Note: Marketing Activities use “Start From Date” for better tracking of interaction timelines.

Generation Modes

• Print (Excel): Generates a high-fidelity Excel file (.xlsx) with frozen headers and formatted columns for immediate use.
• Queue Report: For large-scale data (ranges exceeding 12 months), the system automatically queues the report for background processing. This ensures the user can continue working while the system compiles heavy datasets.

6. Best Practices / Tips 💡