How to forecast 12-month demand for medicines using Azure AutoML time-series?

Anil Kumar Nagar 0 Reputation points
2024-05-24T06:35:22.5733333+00:00

I need to predict the monthly demand for medicines for the next 12 months. I have historical data from 2018 to 2023 for each medicine, including a unique drug identifier (Scode) and the date of consumption. Using this data, I aim to forecast the demand for each month in 2024.

I'm currently using Azure Auto Machine Learning with the time-series forecasting method. However, it only provides predictions for one month at a time. I need a solution that can forecast the next 12 months and continuously update predictions for subsequent years (2025, 2026, etc.) as new data is added.

How can I configure Azure AutoML to generate 12-month forecasts and automatically incorporate new data as it becomes available?

Azure Machine Learning
Azure Machine Learning
An Azure machine learning service for building and deploying models.
2,667 questions
Azure Time Series Insights
Azure Time Series Insights
An Azure internet of things (IoT) analytics platform to monitor, analyze, and visualize industrial IoT analytics data at scale.
77 questions
Azure Data Factory
Azure Data Factory
An Azure service for ingesting, preparing, and transforming data at scale.
9,933 questions
{count} votes

1 answer

Sort by: Most helpful
  1. Adi 0 Reputation points Microsoft Employee
    2024-06-02T06:52:19.7433333+00:00

    Hi, you can also forecast multiple time series using Azure Data Explorer series_decompose_forecast() function

    0 comments No comments