Amazon Sellers had trouble in organizing data for clothing categories

Rubick.ai assisted Amazon sellers in organizing, refining, and standardizing their data.

Introduction

Amazon is well known for providing global eCommerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

Goals and Objectives

Enhanced visiblity

Personalized product recommendation

Earn customer loyalty

Higher average order value

Reduced delivery errors

Unified data

The Problem

Amazon sellers faced problems managing the data and creating a unique identity. Previously, the clothing categories were categorized as Men’s T-shirts, Women’s shirts, and Unisex Hoodies, giving the following problem areas:

Unrestricted Data

The initial dataset needed more structure, making it challenging to accurately present the products across different marketplaces.

Data Standardization

Data had no format, and it was tough to filter data properly.

Data Polish

To succeed, they also needed to make the product listing accurate and engaging.

The Solution

Rubick.ai’s cataloging solutions processed the data according to the product images based on style name, occasion description, and color, which optimized the description for higher visibility in customers’ searches.

Data Collection: Rubick.ai started by pulling out all the SKUS data from their website through the provided link.
Making it Fit: Rubick.ai then carefully rearranged and reorganized the data to match the unique requirements of different eCommerce platforms.
Data Enhancement: Rubick.ai’s technology around online tools spruce up the data, focusing on product images and features.
Output Data: The transformation resulted in distinct product type files.

What We Achieved

With Rubick.ai’s advanced yet precise mechanism, we turned the Word document and a website link into efficient data. This case study is live proof that handling data well can boost your product’s visibility and accuracy, making all the difference in the competitive world of eCommerce.

Unlock the secrets to success – Download our case study now and transform your business!

Key Takeaways

Handling a diverse product catalog across platforms involved managing over 2500+ SKU's

Fashion product attributes were extracted using image recognition with an efficiency rate exceeding 90%

Data Enrichment and validation raised data quality by 30% via extracting, validating, and standardizing diverse platform data.

Data templating achieves 50% more marketplace-specific standardization.

Streamlined efficiency increased extraction, compliance, and description generation by 30%.

Efficient catalog management resulted in a 25% increase in sales and a 30% rise in customer satisfaction through uniformity.

Key Takeaways

Handling a diverse product catalog across platforms involved managing over 2500+ SKU's

Data templating achieves 50% more marketplace-specific standardization.

Fashion product attributes were extracted using image recognition with an efficiency rate exceeding 90%

Streamlined efficiency increased extraction, compliance, and description generation by 30%.

Data Enrichment and validation raised data quality by 30% via extracting, validating, and standardizing diverse platform data.

Efficient catalog management resulted in a 25% increase in sales and a 30% rise in customer satisfaction through uniformity.

Sorting Amazon Seller Data with Cataloging Solutions

Rubick.ai transformed Amazon seller data, solving complexities in unstructured datasets. Using innovative cataloging solutions like image recognition, they refined product descriptions and streamlined eCommerce data.

Ready to transform your eCommerce business? Schedule a demo now and unlock a fresh path to success.

Write a short description, that will describe the title or something informational and useful.

First Name *
Last Name*
Primary Email *
Mobile Phone *
Company Website
Select Solutions

PIM Suite

Cataloging Suite

Marketing Suite

Amazon Sellers had trouble in organizing data for clothing categories

Rubick.ai assisted Amazon sellers in organizing, refining, and standardizing their data.

Introduction

Goals and Objectives

The Problem

The Solution

What We Achieved

Unlock the secrets to success – Download our case study now and transform your business!

Key Takeaways

Key Takeaways

Sorting Amazon Seller Data with Cataloging Solutions

Ready to transform your eCommerce business? Schedule a demo now and unlock a fresh path to success.

PIM Suite

Cataloging Suite

Marketing Suite

Amazon Sellers had trouble in organizing data for clothing categories

Rubick.ai assisted Amazon sellers in organizing, refining, and standardizing their data.

Introduction

Goals and Objectives

The Problem

The Solution

What We Achieved

Unlock the secrets to success – Download our case study now and transform your business!

Key Takeaways

Key Takeaways

Sorting Amazon Seller Data with Cataloging Solutions

Ready to transform your eCommerce business? Schedule a demo now and unlock a fresh path to success.

Request A Demo

Download Case Study