Discover how this Fortune 100 foodservice distributor increased average revenue per customer by 4% after modernizing its digital search and catalog systems. With over 600,000 clients and hundreds of thousands of SKUs, the company relied heavily on its e‑commerce channel but struggled with low search accuracy, incomplete product data, and high abandonment rates.
Download for details on how enterprise‑scale search and catalog enrichment resolved search failures, thin product content, and missed revenue opportunities.
The core issue was a legacy Elasticsearch engine that could not interpret user intent or manage large‑scale catalog data effectively. For instance, common terms like “rags” returned empty results because the system required exact keyword matches like “cloths” or “microfiber towels”. At the same time, manual product content creation lagged far behind catalog growth, leaving most product pages incomplete.
To address these gaps, the company partnered with Grid Dynamics to implement a Google Cloud‑based architecture centered on Vertex AI Search for Commerce and GenAI‑driven Catalog Enrichment. The new vector‑based search model applies semantic understanding of queries, mapping terms like “hotdogs,” “franks,” and “sausages” to the same concept, while automatically optimizing product rankings based on user behavior.
On the content side, Grid Dynamics deployed an AI pipeline using Gemini and Imagen 3 to extract structured attributes, generate SEO‑ready descriptions, and create contextual images directly from raw manufacturer data. Product detail completeness grew from under 1% to over 80% across the targeted catalog.
Early A/B testing delivered measurable results: +86% reduction in zero‑result searches, +11% increase in add‑to‑cart rate, and 80X catalog enrichment.
The full case study details how enterprise‑scale search and catalog enrichment can reduce friction in complex B2B buying journeys, increase conversion, and build a foundation for AI‑driven merchandising strategies.
Download the case study to explore the architecture, methodology, and business impact in detail.
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