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JapanLogistics and transport2025 – ongoing

Yamato Contact Service

Generative AI FAQ matching for delivery inquiries

Yamato Contact Service reduced delivery-email handling work by about 20%, Oracle reported

WorkingVendor case studyVendor ↗

Problem

Growing FAQ collections made delivery answers harder to find. Logistics terminology also reduced search accuracy.

Approach

Yamato Contact Service introduced OCI Generative AI and Oracle Database 23ai with vector search. Keyword and semantic searches supplied answers in customer inquiry forms and internal FAQs.

Results

about 20%of delivery-email inquiry handling work automated or avoided, according to OracleVendor case study[1]
85%FAQ suggestion match rate for self-solvable inquiries, about twice the previous rate, according to OracleVendor case study[1]

Takeaway

The system supported customer self-service and staff searches using the same knowledge.

Categories

Business function
Customer service
Innovation type
Process innovation
AI technology
Generative AI
Evidence
Vendor case study

Sources

Source summaries

[1]Oracle Japan7 Jul 2025

Oracle described semantic FAQ matching for customer inquiries and internal support. It reported an 85% match rate for self-solvable inquiries and about 20% of delivery-email handling work automated or avoided.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
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