Our team used ContentHubGPT, a generative AI-based enterprise B2C and B2B content platform, to insert each product's unique details into the associated product description using the information from product and car fitment data. Once we trained ContentHubGPT on the company's existing product data and industry training, our team created 4600+ unique product descriptions, successfully encompassing the lion’s share of installation options.
Who is the Company
An American manufacturer and distributor of automotive mirrors.
The Challenge
The company provides high-quality replacement side view mirrors, with 70,000+ installation variations on different vehicles, encompassed in their 4,300+ products. The extensive differentiation in installation-to-product ratio created a unique challenge for the company in providing product-specific data and installation information in their product descriptions. Due to this issue, the company's only feasible solution was to create a generic description for all its products, which resulted in a bland and uninformative user experience.
The Solution
Business Impact
- Google search ranking boost: The solution not only made the product pages more engaging but also improved the company's Google search ranking by providing plenty of keywords with rich, informative product details.
- Significant reduction in time-to-market: With our solution, the product descriptions were assembled in a few hours or days, whereas if done manually, they would have taken a few months.
Related Capabilities
Utilize Actionable Insights from Multiple Data Hubs to Gain More Customers and Boost Sales
Unlock the power of the data insights buried deep within your diverse systems across the organization. We empower businesses to effectively collect, beautifully visualize, critically analyze, and intelligently interpret data to support organizational goals. Our team ensures good returns on the big data technology investments with the effective use of the latest data and analytics tools.
