A tale of two PDPs: How CPG brands are transforming product detail page workflows with generative AI

Introduction

If you’re a consumer packaged goods (CPG) leader, you already know the importance — and exhausting, resource-intensive process — of creating product detail pages. A well-crafted product detail page (PDP) is fundamental to the buying process, providing essential information that helps consumers make informed decisions.

A large CPG company may sell products in 100+ countries across hundreds of eRetailers, requiring thousands of PDP variations. Factor in ongoing SEO updates, seasonal promotions, and annual refreshes, and the workload quickly becomes overwhelming — impacting both efficiency and revenue. Given its complexity, PDP creation is an ideal starting point for CPG brands adopting AI in their mission-critical workflows. Platforms like WRITER improve this process, making AI integration both efficient and impactful.

Key Insights

• CPG companies face challenges creating and managing high-quality, frequently updated PDPs to enhance discoverability and conversion in the D2C eCommerce market.
• A global cosmetics company reduced PDP creation time by 50% by leveraging the multilingual capabilities of WRITER.
• The pet care division of another leading brand reduced their legal review process from four weeks to two to three days using the generative AI capabilities of WRITER.
• WRITER AI Studio helps create no-code PDP apps, improving the process by defining inputs, selecting AI models, setting content requirements, and generating copy in seconds.

The increasing importance of PDPs for consumer packaged goods during an eCommerce boom

Direct-to-consumer (D2C) eCommerce is rapidly outpacing traditional retail in growth, with an 8% growth rate in 2024 compared to a 3% growth rate for brick-and-mortar retail. CPG companies must rethink some of their workflows and strengthen digital marketing strategies to compete effectively.

Increasing discoverability on multiple retailer platforms

CPG brands need to ensure that their products appear prominently on various eCommerce and retail platforms. This requires creating personalized PDPs tailored to the specific algorithms of platforms like Walmart and Amazon.

Improving operational efficiencies and reducing costs

Managing PDPs at scale is resource-intensive, where each SKU leads to multiple versions for different regions and frequent updates. This can drain resources and impact revenue.

Accelerating speed to market

Retailers typically run brand promotions 20 to 22 times a year, making it essential for CPG brands to create and update assets quickly to keep pace with market demands.

Case Study: How a cosmetics company addresses limited-resource markets

A leading cosmetics brand partnered with WRITER to enhance their PDP efficiency. They utilized the multilingual capabilities of WRITER to reduce PDP creation time significantly.

Case Study: How a pet care company augments their internal digital shelf teams

A pet care division optimized their PDP lifecycle by integrating generative AI into their workflows with WRITER, significantly improving efficiency and reducing the time for legal reviews.

How to automate PDP workflows with AI

Here are three key priorities for implementing AI in your PDP workflows:

• Discoverability: Continuously update your product details to maintain visibility on various platforms.
• Automation: Automate manual tasks within the PDP creation process.
• Concise PDPs: Focus on creating concise and effective PDPs with AI tools for better results and revenue growth.

Build no-code PDP creation apps with WRITER

WRITER supports the creation of PDP applications that utilize product data to generate specific content for various retailers.

For more information on optimizing your PDP workflows or using AI tools, visit WRITER.