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The Challenge
Overcoming content limitations in e-commerce
One of the largest construction materials resellers in Poland faced a significant hurdle: poor product content was holding back their e-commerce success. With thousands of products in their catalog, they relied on manufacturers to provide essential product information. However, many companies offered incomplete or low-quality content. This lack of structured product descriptions had a direct impact on their business:
- Low conversion rates – Customers hesitated to purchase due to insufficient product details. Without clear descriptions, they struggled to compare items and make informed buying decisions.
- SEO limitations – Weak or missing descriptions meant poor visibility in search engines. Their products weren’t ranking well, reducing organic traffic and discoverability.
- Operational inefficiencies – Creating and managing content manually for thousands of products was a time-consuming and costly process. Every product required multiple text fields, including short descriptions, long descriptions, and SEO meta descriptions—sometimes in multiple languages.
- Marketplace barriers – Selling on platforms like Amazon, eBay, and Allegro required additional variations of product descriptions, each with specific formatting and tone. Meeting these demands while maintaining accuracy and consistency was a growing challenge.
Without a scalable way to generate high-quality product content, the retailer struggled to maximize their online sales potential. Their e-commerce team was overwhelmed, and growth was being hindered by inefficiencies in content management.
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Technology
Python
Flask
LangChain
Large Language Models
Retool
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KPIs
Reducing time to generate product descriptions from 15 to under 2 minutes
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Project Timeline
June to December 2023
The Goal of the Project
AI-enhanced product description generation
To address the challenges of poor product descriptions and inefficient content management, the goal of this project was clear: create a scalable, AI-powered solution that would enable faster, more consistent, and SEO-optimized product content while maintaining human oversight for quality assurance. With their online store featuring 10,000+ products, the client needed a solution that would:
- Rapidly enhance product descriptions – Rewrite existing low-quality descriptions and generate new ones at scale.
- Ensure content accuracy and consistency – Avoid common issues like broken formatting, incorrect text encoding (e.g., missing Polish characters), and grammatical errors.
- Optimize descriptions for SEO – Improve product visibility in search results and drive organic traffic.
- Simplify content approval – Allow employees to quickly review and approve AI-generated descriptions with minimal manual effort.
- Lay the foundation for future automation – Create a system that could eventually integrate into a larger Product Information Management (PIM) system, automating content generation and updates at scale.
By achieving these goals, the reseller would not only accelerate their time-to-market for launching the product online but also establish a strategic content advantage—laying the groundwork for improved product search, customer profiling, and data-driven insights in the future.
Want to explore how your business could apply similar technologies? Check out our AI discovery workshop—a hands-on training to identify practical AI use cases tailored to your operations.
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We analyzed the reseller’s entire product catalog (8,205 products) and identified key content issues, such as missing descriptions, inconsistent formatting, and poor SEO optimization. Product descriptions were categorized by length and quality to tailor AI generation accordingly:
- Short (<100 characters) - 10% of products
- Medium (100-500 characters) - 55% of products
- Long (>500 characters) - 35% of products
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Using OpenAI API, we developed a system that generates two description options per product, ensuring a high approval rate with minimal manual corrections. The AI-generated content followed structured prompts based on:
- Current description length (short, medium, long)
- Style requirements (informative vs. engaging)
- Product data fields (category, name, technical features)
- Adjustable parameters like temperature and top probability
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To maintain quality, we designed a simple review and approval system where employees could quickly accept or refine AI-generated descriptions before publishing. Early testing showed:
- 50% of AI descriptions were approved instantly
- 45% required minor edits
- Only 5% needed regeneration
Results & Impact
Transforming content management and e-commerce performance
The AI-powered solution delivered significant improvements in both efficiency and content quality, driving the reseller’s e-commerce success:
10x faster content creation
By automating product description generation, the process was reduced from 15 minutes per product to under 2 minutes, accelerating time-to-market for over 10,000 products.
High-quality, consistent content
AI-generated descriptions ensured 50% were instantly approved, streamlining the approval process and eliminating content inconsistencies, while maintaining the right balance of information and SEO optimization.
Increased organic traffic & conversion rates
SEO-optimized product descriptions significantly boosted search engine visibility, leading to increased organic traffic and improved conversion rates across the e-commerce platform.
Operational efficiency & cost savings
With content creation streamlined and manual tasks reduced, the reseller saved both time and costs, enabling the team to focus on higher-value activities and improve overall productivity.
Scalable automation for long-term growth
The system’s integration into the reseller’s workflow laid the foundation for future content automation, positioning the business for sustained growth as they continue to scale their product catalog.
