Customer 360

About the Client

The client is a leading architectural engineering firm specializing in sustainable building design and urban planning. With offices across different countries, the company holds a diverse portfolio of projects ranging from commercial skyscrapers to eco-friendly residential complexes.

The Challenge

Sales Visibility: Disparate data silos across the organization limited sales teams' ability to access client information, compromising the visibility of project history and relevant expertise.‍
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Business Development: Sales teams lacked easy access to information on successful projects, making it difficult to replicate prior wins and drive new business development.
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‍Compromised Client Engagement: Inconsistent client data across systems hampered the ability to maintain efficient and personalized client engagement.
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‍Limited Knowledge Sharing: Lack of a centralized knowledge-sharing platform made it difficult to leverage expertise within the company to drive growth.

Kobai's Approach

Kobai’s Knowledge Graph Platform helped the client create a unified semantic layer across the company's data ecosystem. As the first step of our approach, we integrated data from various sources, including CRM systems, databases, ERP systems. Then, we went on to build a semantic graph model that outlined the relationships between clients, projects, architects, and specialized expertise.

This helped them visualize their processes, workflows, and involved stakeholders. As a next step, ontologies that reflected the company's unique business context and industry-specific terminology were developed, and visualization capabilities were deployed to empower business users with self-service data exploration capabilities.

Diagram shows 360 visibility of knowledge around the entire business areas.

The Impact

The implementation of Kobai's knowledge graph solution resulted in significant improvements:
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Better Client Understanding: Sales teams gained a 360-degree view of clients, including past interactions, project preferences, and their potential needs.
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Improved Cross-Selling: The semantic layer enabled easy identification of related services and expertise relevant to each client, thereby increasing cross-selling opportunities.
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Quick Proposal Generation: Access to comprehensive project histories allowed targeted proposal creation.
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Accelerated AI/ML Projects: Semantic ontologies reduced the cost and time required for preparing data for AI/ML initiatives, enabling advanced analytics and predictive modeling.
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More Revenue: Breaking down data silos and providing a unified view of client relationships meant a significant increase in successful bids and client retention rates.
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Operational Efficiency: The self-service nature of the Tower tool freed up technical resources and brought in operational efficiency, allowing the focus to be on more complex data initiatives.

By leveraging Kobai's knowledge graph solution, the architectural engineering firm was able to work on its fragmented data landscape to turn it into a powerful, interconnected ecosystem. This not only enhanced its sales capabilities but also drove overall business growth and operational efficiency.

Customer 360

How Kobai's knowledge graph meant 5X more client engagement for a global engineering firm.

Kobai's Approach

The Impact

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