How to Automate Supply Chain Risk Reports: A Guide for Product Managers

How to Automate Supply Chain Risk Reports: A Guide for Product Managers

Supply chain risks can significantly impact the production of your products. If you’re a product manager, you can use AI and news data from various sources to shape your product and prepare for potential supply chain risks. This guide shows you how to automatically generate supply chain risk reports using powerful tools from Webz.io and OpenAI. Depending on your skill sets, you may need technical help to complete the steps outlined in this guide. The steps show you how to create a Python script that puts these powerful tools together.

So, buckle up and prepare to gain actionable insights into your supply chain!

What you’ll need

  • News Data — You should obtain news data from a reliable source. For this guide, we’re getting the data from the Webz.io News API. It provides structured news data feeds in 170+ languages from millions of news sites. 
  • OpenAI API — You’ll use OpenAI’s API to leverage the GPT-4 and DALL·E models. GPT-4 analyzes and summarizes the text from customer reviews, while DALL·E generates a main image for the report.
  • Python — We’re using Python to automate the report creation process. You’ll need to ensure you can run Python code on your machine.   

Set up your development environment

Setting up the environment to create automated reports requires the following:

  • Get a Webz.io API key — You need an API key to use the Webz.io News API. To get a key, contact Webz.io
  • Get an OpenAI API key — You also need an API key for the OpenAI API. Create an account or sign in at OpenAI to get a key. OpenAI uses pay-per-use pricing for its language and image models. You can see the price points on the OpenAI website.
  • Install Python — If you don’t already have a development environment with Python installed, you’ll need to set one up. If you’re using a Windows operating system, you can find a tutorial on how to get started using Python on Windows on the Microsoft website. Next, install the Python packages using pip, the standard package installer and manager for Python.  

Create your automated supply chain risk report

Now that you’ve set up your development environment, you can move on to automating the report generation process. The below steps will let you automatically generate a detailed supply chain risk report. 

How Webz.io and Chat GPT automate your supply chain risk report

Gather relevant data

Use the Webz.io News API to obtain news articles, creating a query that returns articles pertaining to supply chain risks. Use the API’s robust filters to ensure you only get high-quality, news content. The Python Levenshtein module ratio function in the script removes similar articles to ensure uniqueness.

Unlock and summarize hidden insights

Unleash the magic of OpenAI’s GPT-4 model to analyze the data gathered by the Webz.io News API. Use this powerful large language model to discover hidden supply chain risks that could impact your customers. 

The GPT-4 model determines if an article explicitly discusses a supply chain risk. If the article does contain a risk, the model generates a detailed report about it in HTML format. The script has a global variable that you can use to set the number of reports you’d like generated. Make sure you’ve set up your OpenAI API key in your development environment before completing this step.

Craft a compelling report

Utilize Python’s Docx package to create a professional Word document for your supply chain risk report. The script inserts each analyzed article as a section in the document, structured with:

  • Summary of the incident 
  • Background information 
  • Risk analysis 
  • Current responses and strategies 
  • Future implications 
  • Regulatory concerns 
  • Broader industry and economic context 
  • Similar risks
  • Recommendations     

Boost visual appeal

Use OpenAI’s DALL-E model to generate an impactful visual to use as the cover image for the report.

Finalize and share the report

Compile all the textual and visual elements into your report and review the contents carefully. Go through and polish the report for clarity and coherence. Once satisfied with the finalized report, share it with key stakeholders, incorporating their feedback to improve the report’s utility. We also recommend that you regularly review the accuracy and relevance of generated reports.

Have fun experimenting with Webz.io and OpenAI

You’re all set to start automating supply chain risk reports. By following this guide and leveraging tools from Webz.io and OpenAI, you’ll gain invaluable insights from news data that you can use to aid in strategic decision-making. Let the automated reports production begin!

Download the example code and report:

  • The full Python script

To run the script:

  • Ensure that Python and the required Python libraries are installed on your machine.
  • Set your OpenAI API key in your development environment.
  • Set your Webz.io News API key in your development environment.
  • Run the script.

Ready to automate supply chain risk reports for your organization? Talk to one of our experts today.

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