GenAI Solution for Product Data Challenges in E-Commerce Syndication

Key Highlights

  • In this article, we explore how our GenAI-powered solution transformed the client’s product data management in eCommerce, enhancing accuracy and reporting speed.
  • The client faced data overload, frequent product variations, and delayed reporting, leading to discrepancies and reduced trust with brand partners.
  • We implemented a GenAI accelerator, elsAi, that automated error detection, product categorization, and real-time reporting, providing accurate insights and clean product data across retailer platforms
  • The implementation of GenAI-driven automation greatly improved operational efficiency and strengthened client relationships by enhancing the accuracy and timeliness of product data management.

Problem Statement

01

Data Overload & Errors: The client faced overwhelming product data, with manual error identification causing delays and frustration for brand partners.

02

Product Variations: Frequent changes to product details and difficulty tracking variations led to discrepancies and confusion.

03

Delayed Reporting: The absence of automation extended reporting processes, delaying the communication of critical information to brands and eroding trust.

Solution Overview

01

The solution automates the processing and analysis of vast volumes of retailer data, identifying mismatched and non-live product listings with precision.

02

elsAi, our GenAI accelerator automatically categorizes products as live or non-live, providing real-time visibility into products that appear on retailer websites but have not gone live.

03

The system accurately detects and differentiates between unique and duplicate product variations, ensuring brands have a clean and accurate view of their products across retailer platforms.

04

Automated report generation delivers comprehensive insights to brands quickly, improving transparency and trust.

05

A real-time dashboard provides valuable data on error patterns, traffic insights, and overall data health, enabling informed decision-making.

Business Impact

01

GenAI and ML Automation: GenAI and ML-driven error detection reduced manual effort, automating tasks that once took hours and allowing the team to focus on strategic initiatives.
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Reduction in Manual Labor

02

Faster Reporting & Stronger Relationships: Automated reports saved time and provided timely, reliable insights, enhancing credibility and strengthening the client’s competitive edge.
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%
Cut Reports processing time

03

GenAI Reports:GenAI-generated reports delivered clear insights, enabling faster decision-making, streamlining product data management, and improving results for client partners.
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Faster Decision-Making

ABOUT THE

Project

As a leading content syndicator for the eCommerce industry, one of our clients faced a pressing challenge: efficiently managing and reporting product data discrepancies across millions of products from numerous retailers to global brands. The difficulty of maintaining accuracy in mismatched and inactive product data led to missed opportunities, credibility issues, and operational inefficiencies. Recognizing the need for a transformative solution, we proposed GenAI and machine learning solutions to enhance their data management capabilities.

Tech Stack

Testimonials of Our Happy Clients

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