Welcome
Welcome to the Quantification Analytics Tool (QAT) Documentation Site!
- For end-users, see the User Manual.
- For technical administrators, see the Developer and API sections. To learn more about QAT, please read on below.
What is QAT?
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.
- 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.
Key Features:
- Web-Based with Offline Capabilities: Seamless data sharing across stakeholders and public health systems, plus reliable data entry and management without a constant network connection.
- Scalable: Built on a modern, operating-system-agnostic architecture - all you need is a web browser.
- User-Centric: Focused on usability and automation to drive end-to-end data visibility and evidence-based decision-making. Availalbe in mulitple languages.
- Standardized: Master data management to drive consistency across all programs.
- Better Together: Forecasting & Supply Planning in one tool, with seamless integration between the two modules.
- Visually Rich: Charts and tables to help stakeholders better understand their data and make decisions.
- Flexible Forecasting: Customizable tree structures (demographic, morbidity, services) and advanced extrapolation methodologies (ARIMA, Holt-Winters, etc.)., visual output comparison, and stakeholder consensus tools.
- Advanced Supply Planning With forward-looking tracking of stock balances, scenario planning, batch/expiry tracking, and in-tool supply plan review.
Who Should Use QAT?
QAT empowers local program managers to take charge of their own forecasting and procurement planning. While program managers are the primary users, the system provides vital insights for policymakers, country directors, procurers, and donors.
| User Group | Purpose |
|---|---|
| Supply Planners / Program Managers | Manage procurements across multiple funding sources and procurement agents. QAT provides visibility into long-term stock status and decreases the risk of stock imbalances. |
| Forecast / Demand Planners | Estimate demand using flexible templates and built-in validations. Compare methodologies and select final commodity forecasts using integrated visualizations. |
| Policy Makers / Directors | Visually compare forecasts and analyze the implications of budgetary constraints or new program targets. |
| Procurers and Donors | Gain clear visibility into current supply status and future procurement requirements. |
History of QAT
QAT was built with funding from the U. S. Government under the Global Health Supply Chain – Procurement and Supply Management (GHSC-PSM) program.
| Month | Milestone |
|---|---|
| Jan 2020 | QAT development began under GHSC-PSM, building on functionality of legacy tools like PipeLine & Quantimed |
| Nov 2020 | Due to COVID-19, first countries trained on QAT supply planning module remotely |
| Dec 2020 | QAT Supply Planning Module Live |
| June 2022 | QAT Forecasting Module Live |
| 2021-2026 (present) | 44 countries trained in QAT supply planning and forecasting modules. |
Which countries have been trained on QAT?
