Case Study

Scalable Data Overhaul for Supply Chain Sustainability Company

challenge

Data Silos Holding Back Growth

Facing significant challenges in managing and leveraging their data effectively, the existing tech stack for a leader in sustainable supply chain and manufacturing intelligence lacked usability and accessibility. This made it harder to provide comprehensive product insights for their customers in the hospitality industry. Additionally, they struggled with creating client-facing dashboard visualizations and optimizing their data warehouse to support business scaling. Their vendor sustainability metrics were entangled in complex scripts, making them difficult to maintain, while critical product data remained trapped in manual spreadsheets and Google Docs. They also wanted to implement AI in the future, and their current systems couldn’t support it. To continue their rapid growth and streamline operations, they needed an advanced AI-ready data solution that could scale efficiently while minimizing manual processes.

solution

A Future-Ready Data Stack

To address these challenges, we assembled a team of data engineers and data visualization experts to overhaul our client’s data infrastructure. Key solutions included:

  • Data Stack Overhaul: We migrated the client’s data to Snowflake and optimized it with Matillion to ensure a scalable, high-performance data infrastructure.
  • Client-Facing Dashboard Visualizations: We developed interactive dashboards that provided real-time product intelligence, improving data accessibility for clients.
  • PDF Extractor Development: We automated data extraction from manual sources, significantly reducing the need for labor-intensive data entry.
  • Vendor Sustainability Metrics Optimization: We transformed vendor sustainability rating metrics from a monolithic script into independently maintained components, enhancing flexibility and maintainability.

results

Evolved Supply Chain Sustainability Intelligence

The solutions we implemented delivered a number of transformative results for our client including:

  • Optimized Data Warehouse: The modernized data stack enabled the business to scale operations and offer their clients new insights.
  • Enhanced Insights: Clients now have direct, easy access to comprehensive and actionable product insights through dynamic dashboards.
  • Improved Efficiency & Automation: By eliminating manual processes, the team significantly reduced errors and improved the speed of vendor onboarding, allowing our client’s hospitality customers to access a broader range of sustainable products.

Future-Ready AI Integration: With a scalable data foundation now in place, our client is positioned to implement AI-driven SKU scraping, paving the way for predictive analytics and advanced recommendation engines.

tech used

Snowflake, Tableau, Matillion
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