https://store-images.s-microsoft.com/image/apps.22949.cc7ecde6-282b-49a4-92d9-57eb9c2ee54d.899f444f-e14f-4af9-80ad-8dd734ecece2.81dfa0e6-cd4f-4ae6-9067-2553bfd90d62
SERVICEME Knowledge
上海微钉科技有限公司
SERVICEME Knowledge
上海微钉科技有限公司
SERVICEME Knowledge
上海微钉科技有限公司
Enterprise-Level knowledge management platform based on Azure OpenAI
SERVICEME Knowledge is a unified GenAI application center based on Azure OpenAI, which builds proprietary AI Copilot and Agent for enterprises in manufacturing, retail, life sciences and other industries, and empowers R&D, marketing and sales, customer service, supply chain, and operation departments.
- Unified storage, application, and management of enterprise private domain knowledge.
- Content collaboration is enhanced with smarter and safer features, including support for online dynamic watermarking.
- Exclusive knowledge base Copilot, supporting intelligent Q&A, AI-driven content creation, and more.
- Integration with FAQs, external knowledge bases, web knowledge, and other resources.
- Unified GenAI Governance.
What values can SERVICEME Knowledge bring to you?
- 50% Efficiency improvement.
- 45% reduction in customer service response time, significantly improving customer satisfaction and loyalty.
- 25% reduction in operating costs.
- Promoting internal knowledge sharing and breaking down knowledge barriers.
- 20% compliance enhancement.
No need to choose, we provide both multi-cloud and local private deployment options, ensuring perfect alignment between our AI services and your IT infrastructure and compliance requisites.
Interested in SERVICEME Knowledge and want to learn more about our case study? Don't hesitate to contact us at sales@medalsoft.com and we'll be happy to guide you on how to meet your AI and automation requirements through our services.
深入了解
SERVICEMEhttps://store-images.s-microsoft.com/image/apps.46892.cc7ecde6-282b-49a4-92d9-57eb9c2ee54d.899f444f-e14f-4af9-80ad-8dd734ecece2.a21ad1ea-912d-4bb6-ba97-d799840a0929
https://store-images.s-microsoft.com/image/apps.46892.cc7ecde6-282b-49a4-92d9-57eb9c2ee54d.899f444f-e14f-4af9-80ad-8dd734ecece2.a21ad1ea-912d-4bb6-ba97-d799840a0929