A large European retail and distribution enterprise struggled with fragmented documentation, slow IT issue resolution, and heavy dependency on manual knowledge retrieval across multiple stores and support environments. With thousands of daily employee queries and large volumes of operational data, the organization needed a scalable way to centralize knowledge and empower teams with faster insights.
By partnering with Nexright, the enterprise deployed IBM Watson Discovery, enabling AI-driven document search, natural language understanding, and rapid retrieval of relevant information. This allowed IT teams to access troubleshooting steps, SOPs, and technical knowledge within seconds—significantly enhancing service responsiveness and reducing operational overhead.
The enterprise faced mounting pressure to support large-scale store operations, internal IT teams, and service desks with accurate and timely data. Critical knowledge—SOP manuals, store system guides, error codes, vendor documentation—was stored in disparate formats and repositories, causing inefficiencies.
Key Challenges:
The enterprise needed a centralized, AI-powered knowledge platform that could understand natural language queries, index all operational documentation, and instantly surface accurate, actionable insights.
Partnering with Nexright, the retail group implemented IBM Watson Discovery to unify and automate knowledge retrieval across all IT operations.
Solution Highlights:
Nexright helped us transform our operational knowledge into a powerful AI-driven solution. With IBM Watson Discovery, our teams now find answers instantly, resolve issues faster, and operate with far greater confidence. This implementation has fundamentally improved the speed and quality of our IT operations.
— Head of IT Operations, European Retail Organization
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