Moglix Case Study | Google Cloud
Use case typeProduct discoveryUpdated Jun 13, 2026
Moglix rendered digital transformation and innovation for its clients with Google Cloud's Vertex AI, enhancing product searches, descriptions, data access, and efficiency to improve customer experiences. The company uses Vertex AI for unified natural-language search, automated product descriptions, chatbot responses, corporate information discovery, and OCR-based extraction from PDFs.
Reported outcomes
50x
timeTime & speed
4%quantified impact+15%quantified impact+50%productivity
Strategic outcomes
Customer experience & trustImproved product search and discoveryNew product / capabilityDeployed ecommerce chatbot supportScale & capacityAutomated PDF data extraction workflowsBetter decisions & insightAccelerated reporting and analysis
Catalog median for time & speed deployments: −60% across 727 reported metrics. Compare benchmarks →
Primary read
Use case focus
Showing 3 of 4
- 1Ecommerce search and discovery
- 2Customer support automation
- 3Document OCR and extraction
- Answer customer product questions at scale and improve product search and selection.
- Extract structured product data from PDFs for supplier and catalog workflows.
- Improve sourcing and operational efficiency across industrial ecommerce workflows.
- Deployed a Vertex AI-powered ecommerce chatbot to answer customer queries and support product discovery.
- Used Vertex AI to enable unified natural-language search and automated product descriptions.
- Applied generative AI for vendor discovery and OCR-based data extraction from PDFs.
- Used BigQuery as a data lake to speed reporting and analysis.
Technologies
- 500+ orders generated over three months.
- 4% rise in SEO traffic from automated descriptions.
- 15% improvement in conversion rate.
- 50% improvement in operational efficiency from OCR-based extraction.
- Reports and analyses up to 50x faster with BigQuery.
Sources & evidence1
Groundedness: 5/5Type: Customer StoryPublished: Jun 3, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High
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