Revolutionizing product catalog content creation for the Middle East retail landscape

See how a retailer’s content creation process, where efficiency and scalability were the ultimate challenges, the firm sought a solution to address the extensive manual effort and quality issues in product catalog creation. Discover how our innovative approach, leveraging the ‘Netscribes Workflow’ and ChatGPT, achieved approximately 4,800 man-hours saved monthly, a 70% reduction in QC efforts, and positioned the retailer for greater efficiency and competitiveness in the Middle East retail landscape. Dive into the case study to uncover the remarkable time and resource savings achieved.

Challenge

The retailer urgently needed a more efficient and scalable solution for developing accurate product details as:

• They encountered a tangible bottleneck in content creation efficiency, with dedicated agents spending approximately 30 minutes on each product to generate detailed descriptions.
• With a weekly load of around 2,500 SKUs, the manual effort involved was not only extensive but also prone to quality issues due to human intervention.

Approach and solution

Our team stepped in with an innovative solution, incorporating the ‘Netscribes Workflow’ – a proprietary workflow automation tool, and integrating ChatGPT for product catalog content creation.

• It automated content preprocessing using precise prompts, presenting the output seamlessly within the platform.
• It eliminated the need for human agents, as the prepopulated content underwent direct Quality Control (QC) approval.
• The focus was on enhancing description and bullet point columns within batch files.
• Efficiency was further boosted through the introduction of bulk submission, enabling the simultaneous processing of up to 500 records, reducing the effort required for large batches exceeding 3,000 records.

Results delivered

• Approximately 4,800 man-hours worth of effort saved every month
• Tangibly reduced issues in the quality of product descriptions and tags, resulting in an overall 70% reduction in QC efforts