Data Driven Transformation
Enhancing Business Insights with Advanced Analytics
Client Overview
A leading global SaaS-based enterprise specializing in supply chain management sought to enhance its data analytics capabilities to improve decision-making, streamline operations, and drive business growth.
Challenges
- Lack of real-time insights into supply chain performance.
- Inefficient data collection and processing leading to delayed reporting.
- Inability to integrate multiple data sources across global operations.
- High dependency on manual data analysis, resulting in inconsistencies.
Solution Provided by Xevyte
- Established an internal ODC to build and manage a centralized data analytics platform.
- Implemented real-time data processing and visualization using AI-driven analytics tools.
- Integrated multiple data sources, including ERP, CRM, and third-party logistics, into a unified dashboard.
- Deployed machine learning models to predict demand fluctuations and optimize inventory.
- Created automated reporting systems, reducing manual intervention and improving accuracy.

Execution Approach
- A hybrid model with ODC resources handling platform development and on-site experts managing client-specific implementations.
- Continuous collaboration between offshore teams and client-side analysts to ensure seamless integration.
- Agile delivery model with iterative enhancements based on real-time feedback.
Business Impact
35% improvement in operational efficiency through automated analytics.
50% faster decision-making with real-time reporting.
Reduction in stock-outs and overstocking by 40%, optimizing inventory costs.
Enhanced visibility and proactive issue resolution, improving supply chain reliability.