DELOS

Revolutionizing Stakeholder
and Issue Monitoring

DELOS, a Swiss SaaS platform, revolutionizes how companies identify, prioritize, and monitor key issues and stakeholders, delivering actionable insights for strategic decisions in the European market.

Building an AI-Powered SaaS Tool for Strategic Stakeholder and Issue Management

The Challenge

SaaS Scalability and AI Implementation
DELOS needed a custom SaaS to manage data scraping and AI-driven issue prioritization from public sources.

Stakeholder Mapping Complexity
Creating a dynamic map required seamless data integration with transparent traceability to build user trust.

User Experience and Design
An intuitive UX/UI was key to simplifying stakeholder relations, issue mapping, and data visualization.

Scalable Infrastructure
DELOS required a cloud setup for scalable real-time data scraping and analysis as the user base grows.

The Solution

Streaver worked with DELOS to create a scalable, user-friendly MVP, enabling businesses to tackle complex issues confidently.

Issue Identification and Mapping

• AI that suggests 5–10 relevant issues per company using data from public sources.

• Issue Map visualizes relevance, revenue impact, and influenceability for prioritization.

Stakeholder Mapping and Relations

• A dynamic Stakeholder Map connecting organizations and individuals to specific issues.

• Weighting system ranks stakeholder relevance by associated issues and data sources.

User-Centric Design

• Interactive dashboards provide detailed, actionable insights on issues and stakeholders.

• Scalable architecture supports chatbots and geographic expansion.

Data Scraping and Integration (Upcoming)

• Initial integration with public Swiss sources like parlament.ch, Swiss universities, and NGOs.

• Real-time updates with timestamped, traceable links for transparency.

Technical Challenges

1. Complex Stakeholder Mapping

Challenge: Building a system where stakeholders dynamically relate to multiple issues and data sources.

Solution: Refactored database architecture to enable weighted relationships, ensuring adaptability for evolving needs.

2. Continuous Database Restructuring

Challenge: Frequent database updates for new features risked delays.

Solution: Introduced modular development to isolate changes and ensure stability.

3. Planned AI-Powered Data Scraping

Challenge: Automating high-fidelity data extraction from diverse sources like media, government sites, and universities.

Planned Solution: Designing a scalable AI-driven web crawling system to parse and categorize data while ensuring compliance, traceability, and real-time updates for transparency.

Results

Successful MVP Launch
Delivered on time with core features like interactive Issue and Stakeholder Maps.

Improved Transparency and Trust
Timestamped, traceable data sources built user confidence in the platform's insights.

Enhanced User Experience
Streamlined design and dynamic visualizations resulted in positive feedback from beta users.

Foundation for Growth
Scalable architecture supports future features like advanced scraping and AI chatbots.