Section 1. Overview
A. Introduction
Welcome to the User Manual for the Quantification Analytics Tool (QAT)! The Quantification Analytics Tool (QAT) is a modernized solution for country-led forecasting and supply planning. QAT has a forecasting module and a supply planning module, and can be used for any health commodity.
A.1 Intended Audience
This manual is designed for end-users, providing comprehensive information on system functionality, workflows, and best practices.
If you'd like overview & background information on QAT, please see the About Section to understand what QAT is, who should use QAT, the history of QAT, and the QAT Global Footprint.
Technical administrators should view the Developer and API sections.
A.2 Navigation
How to navigate this site:
- Use the left sidebar to browse the main sections of the manual and move step-by-step through different topics.
- Use the right sidebar to quickly jump to specific sub-headings within the section or page you are currently viewing.
- Please also refer to the Table of Contents for a high-level overview of the document structure.
B. Important QAT Concepts & Terms
For a comprehensive list of QAT acronyms and terms, please see the Acronyms & Terms page.
- Forecasting: An estimate or prediction of the quantities of products to be consumed by clients or consumers over a future period.
- Supply Planning: The component of supply chain management focused on fulfilling demand plan requirements. The goal is to balance supply and demand to meet the financial and service delivery objectives of the health program.