Business Challenge
Simon Property Group, a global leader in retail real estate, wanted to improve the accuracy and consistency of its online Product Search tool, which aggregates product data and images from its many retailers and affiliates. Incomplete product attributes and inconsistent naming conventions made it difficult for customers to find what they were looking for, leading to a frustrating user experience. Simon needed a scalable solution to enrich and standardize this data, all while strengthening their overall platform security and providing better tools for internal teams.
Benefits
Improved Data Accuracy: Vertex AI extracts and standardizes missing product attributes for consistent search results.
Enhanced Customer Experience: Normalized product details make searches faster and more reliable, leading to a more efficient shopping experience.
Actionable Insights: Enriched data is captured using GA4 events and fed into BigQuery for analysis and reporting, providing clear visibility into customer engagement trends.
“Woolpert has been a great partner in helping us explore and adopt new Google Cloud capabilities. They bring us innovative ideas and early access to tools that add real value to our platform.”
- Gennady Stesal, Vice President, Digital Development & Operations, Simon Brand Ventures
Working With Woolpert
Woolpert partnered with Simon Property Group to provide product expertise, cloud architecture support, and a secure foundation for adopting Google Cloud and related services. This strategic partnership allowed Simon to quickly implement and optimize these technologies, creating measurable value for their customers and internal teams.
The Solution
To improve product data accuracy and deliver a better user experience, Simon implemented Vertex AI to extract and standardize missing product attributes, generate alt text, and identify noncompliant content. The enriched data feeds into a database within Azure, where Azure AI Search enables customers to search across product attributes more effectively.
Customer usage data is captured using GA4 events, and that data is integrated into BigQuery for analytics and reporting. With Woolpert’s guidance, this architecture ensures clean, consistent data and powerful search capabilities that support both customer needs and internal reporting.
