Supply Chain Data Analytics Scales Sustainability

Challenge: Siloed Data Blocked Insights and Scaling

A leader in sustainable supply chain intelligence couldn’t efficiently manage or leverage their data. Manual spreadsheets, Google Docs, and tangled scripts made it difficult to deliver reliable product insights to hospitality customers. Their outdated stack couldn’t support AI adoption or client-facing dashboards, threatening their ability to scale and meet rising customer expectations. They needed a future-ready solution that streamlined operations and unlocked supply chain data analytics at scale.

Solution: AI-Ready Data Stack with Snowflake for Supply Chain

Sparq assembled a team of engineers and visualization experts to transform their infrastructure:

• Data Stack Overhaul: Migrated to Snowflake for supply chain and optimized with Matillion for high-performance, scalable analytics.
• Client-Facing Dashboards: Built interactive dashboards delivering real-time product intelligence to customers.
• Automated Extraction: Developed a PDF extractor to eliminate manual data entry and reduce errors.
• Vendor Metrics Modernization: Broke monolithic scripts into flexible, maintainable components for vendor sustainability ratings.

Results: Scalable Insights and Future AI Capabilities

• Optimized Data Warehouse: Enabled rapid scaling and richer insights for customers.
• Enhanced Product Intelligence: Clients now access actionable insights directly through dynamic dashboards.
• Improved Efficiency: Automation reduced errors, sped vendor onboarding, and broadened sustainable product availability for hospitality customers.
• AI-Ready Infrastructure: Positioned the client for advanced analytics, predictive modeling, and recommendation engines.