Syren Enabled 40% Faster RCA with GenAI-Enhanced Control Tower
Problem Statement
The client, a beverage leader, had already implemented a robust control tower to drive end-to-end visibility across its supply chain operations. The team had access to detailed dashboards and reports, but there was a need for faster, more intuitive access to insights to support timely and proactive decision-making. Also, making any improvements to dashboards or integrating new insights involved lengthy development cycles, limiting the organization's agility and responsiveness.
Challenges
- No Direct Access to Data: End users couldn’t access the backend and create their visuals, increasing dependency on data engineers & analysts.
- Low Data Intuitiveness for Business Users: Even with access to the backend, the business team struggled to understand and make meaningful insights from the data.
- Slow Time-to-Insight: New data questions required backend updates or developer intervention, slowing down decision-making.
- High Cost of customization: Dashboard modifications were slow and costly due to multiple stakeholders' involvement leading to higher development cycles.
Our Solution
- Elevating the Control Tower with Gen AI: To reduce manual effort and shorten the development cycles for insights, Syren enhanced the Control Tower with a Gen AI-powered conversational interface. By integrating tools like VannaAI for SQL query generation and LlamaAI for contextual understanding, the solution empowers users to interact with supply chain data in non-technical language.
- From Dashboards to Dynamic Conversations: Instead of waiting for report builds or going through static dashboards, users can now ask questions, such as “Why did delivery delays increase in Zone 3 last week?” and instantly receive actionable insights. This reduces dependency on analysts and enables quicker, self-service decision-making across teams.
- Root Cause Analysis with GenAI: A key enhancement was the integration of a RAG-based Root Cause Analysis (RCA) model. This layer combines retrieval-augmented generation with operational data to provide deeper context, helping users view metrics but also understand the “why” behind trends and anomalies.
- Scalable, Secure, and Transparent: The solution is built on a secure cloud foundation with strong governance, monitoring, and observability. Feedback loops, prompt audits, and usage analytics ensure continued optimization while maintaining compliance and transparency.
Tech Stack
Impact
Conclusion
With the implementation of GenAI into the control tower, Syren successfully transformed the client’s supply chain visibility from a static reporting function into an intelligent, interactive decision-support system. The solution delivered measurable improvements in decision speed, root cause identification, and operational efficiency, while also reducing dependency on analysts.