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The client's existing search system produced irrelevant results, leading to 23% revenue loss through abandoned carts and high bounce rates. Customers struggled to find products due to rigid keyword matching, poor intent recognition, and outdated inventory data.
Large-scale B2B/B2C eCommerce platform managing 47,000+ products with search-driven revenue model
Projected 23% revenue increase through improved search conversions, 40% reduction in support tickets related to search issues, and $500K+ annual savings from automated product discovery optimization. Implementation should also enable personalized pricing visibility and reduce cart abandonment rates by 15-20%.