Automating Product Classification in ECommerce with SAP AI Services

Introduction

The SAP AI Data Attribute Recommendation service automatically analyses your data and helps to predict the missing information or organizing it based on patterns it has learned from similar data.

For example, imagine you have a lot of product information coming in— Data Attribute Recommendation service can automatically help categorize these products and even predict the prices based on their descriptions.

It is leveraging machine learning to analyse existing data patterns and generate attribute suggestions. It is reducing the manual effort required for data classification and improving data accuracy and consistency across business processes.

Note: SAP AI Data Attribute Recommendation service is part of SAP AI Services under SAP AI Foundation. It is covered in our course about “SAP AI Services”.

What You Will Learn 

In this tutorial, we will walk through a real-world use case to demonstrate the power of AI in business applications: Automating Product Classification with AI Models. 

Scenario: 

In the world of ecommerce, assigning the correct product categories and hierarchies when creating new product data is typically a manual, time-consuming task. This task often requires expert knowledge to ensure accuracy, and as businesses scale, the challenge only grows. 

Challenges: 

Manual product classification can lead to delays, errors, and inefficiencies. As the product catalog expands, the need for an automated solution becomes essential to ensure speed and consistency. 

Solution: 

In this tutorial, we’ll demonstrate how AI models, specifically the Data Attribute Recommendation Service, can streamline this process.  

By leveraging AI to analyze historical data, the system automatically suggests the most appropriate product categories and attributes with a confidence score. This not only reduces manual effort but also improves accuracy and efficiency. 

This approach can also be applied to other use cases, such as predicting attributes for sales orders or filling in missing data in transactions. 

What You’ll Do: 

We’ll guide you step by step through an end-to-end tutorial where you’ll: 

• Upload a product dataset schema. 

• Train an AI model using historical data for product classification. 

• Generate predictions with confidence scores for new products, automating the process of assigning categories. 

Lets dive in! 

 Prerequisites 

You need an SAP BTP Free Trial Account. No need of a paid SAP BTP Account. 

Setting Up of SAP Data Attribute Recommendation Service 

Step 1: Logon to your SAP BTP free trial account. 

Step 2: Click on Boosters from the Gobal Account view. 

Step 3: Search for Data Attribute Recommendation and click on it. 

Step 4: Press Start. 

Step 5: Download these Postman files. We will be using it in the future steps. 

Install Postman REST Client 

Step 1: Visit official Postman website and download postman application. Postman client is required to test the Data Attribute Recommendation Service through APIs. 

This is how Postman UI looks like once you install it on your computer and open it. 

Import Postman Environment and API Collection  

Step 1: Click on Import button.  

Step 2: Import both Postman Environment and Postman Collection files. 

Step 3: Press on Import.