Predict Sales with MindsDB and Shopify: A Comprehensive Guide

Written by
Aleks Basara
Published on

In the world of e-commerce, predicting sales is a crucial aspect of business strategy. It helps in inventory management, budgeting, and planning for the future. But how can you accurately predict sales? The answer lies in the intersection of artificial intelligence (AI) and e-commerce platforms. In this blog post, we will delve into how you can predict sales using MindsDB and Shopify using a step-by-step guide provided by MindsDB.

What are MindsDB and Shopify?

MindsDB is an open-source AI layer for existing databases that allows you to effortlessly develop, train, and deploy state-of-the-art machine learning models. It's designed to make it easy for developers and data scientists to use AI capabilities without needing extensive machine learning knowledge.

Shopify, on the other hand, is a leading e-commerce platform that allows businesses to create online stores and sell products. It provides a plethora of tools for managing an online store, including inventory management, marketing tools, customer relationship management, and more.

Why Use MindsDB with Shopify?

The combination of MindsDB and Shopify provides a powerful tool for e-commerce businesses. MindsDB's AI capabilities can analyse your Shopify store's data to predict future sales, helping you make informed decisions about inventory and marketing.

Step-by-Step Guide to Predict Sales with MindsDB and Shopify

Step 1: Exporting Shopify Orders to a CSV File

Shopify's users can extract their orders' data into a CSV file from their Shopify accounts. This data will be used to train the machine learning model. You can follow this Shopify tutorial to export orders along with their transaction histories.

Step 2: Upload Shopify Order Data to MindsDB

Once the Shopify orders data file is exported from the Shopify store, you can upload the data to MindsDB via its GUI. You can access MindsDB's GUI either on the Cloud or locally via the URL

Step 3: Create a Predictor for Forecasting Purchase Orders

Now, let's specify that we want to forecast the Total column, a moving average of the historical price for sales. However, looking at the data, you can see several entries for the same date, depending on several factors: the vendor, the line item, and the shipping country. We would like to generate forecasts to predict the behaviour of Total (price) by vendor, line item, and country for the next seven days.

Step 4: Make Predictions

Once the model's status is complete, you can query it as a table to get forecasts for a given period of time. Usually, you'll want to know what happens right after the latest training data point that was fed, for which we have a special bit of syntax, the "LATEST" keyword.

Step 5: Use Predictions for Business Strategy

Finally, you can use these predictions to inform your business strategy. For example, if MindsDB predicts a surge in sales, you might want to increase your inventory to meet the expected demand. Conversely, if a decline in sales is predicted, you might want to ramp up your marketing efforts.


Predicting sales is a powerful tool for any e-commerce business. With MindsDB and Shopify, you can leverage the power of AI to make accurate sales predictions, helping you make informed decisions and grow your business. So why wait?

Remember, while AI can provide powerful insights, it's just one tool in your arsenal. Always consider other factors and use your judgment when making business decisions.

This guide is based on the MindsDB blog post.

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