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Toyota - UC 2 (published)

Burkhard Dohr
Nov 10, 2025

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Streamlined Data Ingestion and Validation

This document provides a comprehensive overview of automating data ingestion and validation using Zyndigo. It aims to simplify the workflow for various roles within an organization by employing tools like dashboards and automated classification. This guide will walk you through the process, demonstrating how Zyndigo can optimize daily operations with minimal effort.

Step 1

Welcome to the automated data ingestion and validation process. This guide will demonstrate how Zyndigo can enhance the efficiency of your organization by streamlining the tasks for various roles.

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Step 2

This section introduces you to tools such as dashboards, auto classification, and predefined specifications within an automated error management dashboard. These tools are designed to facilitate your daily tasks. Let's proceed to explore the system.

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Step 3

Once logged in, the home screen dashboard is displayed, tailored to your role. It serves as the primary entry point for data correction and workflow monitoring. Here, you can identify missing marketing descriptions for contributor reviews or business conditions in the accessory workflow.

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Step 4

To delve into the details, simply click the relevant button, allowing you to review the specific issues at hand.

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Step 5

The widget for business conditions also indicates a missing marketing description. By clicking a button, you are redirected to the product or accessory. In the summary view, the missing marketing description is highlighted.

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Step 6

Click the button to address the missing marketing description. Enter the necessary text, save it, and the issue is resolved. Returning to the basics, you will see everything is now correct.

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Step 7

Next, we address pricing information. Ensure values have only two decimal places, not three, and correct as necessary.

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Step 8

If an error occurs, an error message will appear. For example, changing a point to a comma, which is not permitted, will need to be fixed.

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Step 9

Immediate feedback is provided to system users, whether they are data stewards, parts operation specialists, business owners, or others. For towing bars, specific attribute groups for towing are automatically added.

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Step 10

Additionally, an auto-classification business rule allows automatic classification of accessories or parts. Select an accessory part and enable the auto classification.

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Step 11

Save the configuration to trigger the auto classification. This trigger can also be set during the import process for automatic execution.

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Step 12

In this example, the towing bar classification is missing. Let's address this.

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Step 13

We also have a business rule for auto classification. Choose another accessory to proceed.

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Step 14

Select a towbar kit to continue the process.

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Step 15

Click on the towbar kit to view details. Note the absence of towing information under basic information, pricing, media, and extended information.

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Step 16

Currently, no classification is available. Set the auto classification Boolean to true to initiate automatic classification based on the accessory name.

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Step 17

After a refresh, the towing attributes are assigned to the product, and it is categorized under towing in accessories classification.

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Step 18

As a business owner, ensure consistency by automatically checking specification suffixes and configurations. Normalize elements like brand names accordingly.

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Step 19

If a marketing title is entered incorrectly, such as "Toyota" in lowercase, save it for correction.

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Step 20

Upon refreshing, the algorithm corrects the brand name to "Toyota" with the proper capitalization.

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Step 21

Consistency is also vital for relationships. Add only applicable vehicles to a specific part, excluding other entities like accessories or warranties at this stage.

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