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Schüttflix's Digital Transformation with Fivetran in the Construction Industry
Technology Category
- Analytics & Modeling - Big Data Analytics
- Analytics & Modeling - Predictive Analytics
Applicable Industries
- Cement
- Construction & Infrastructure
Applicable Functions
- Logistics & Transportation
- Sales & Marketing
Use Cases
- Construction Site Monitoring
- Supply Chain Visibility
The Challenge
Schüttflix, a German logistics start-up, aimed to disrupt the traditional construction supply chain by digitizing the industry, which was primarily reliant on pen and paper processes. The company's mission was to enable data-driven decision-making by providing stakeholders with accurate and timely data. The challenge was to build a modern data stack that could tap into key data sources efficiently and reliably. Alexander Rupp, Head of Data and Business Intelligence at Schüttflix, was tasked with evaluating connectors that could meet these requirements.
The Customer
Schüttflix
About The Customer
Schüttflix is a German logistics start-up that supplies sand, gravel, and grit to the construction industry. The company operates a B2B platform that digitally connects suppliers, carriers, and buyers, disrupting traditional supply chains and reducing costs. Launched in Germany, Schüttflix is expanding into Austria, Poland, and the Czech Republic following a $50m funding round. The company's mission is to digitize the construction industry, transforming localized supply chains and enabling data-driven decision-making.
The Solution
Fivetran emerged as the ideal solution for Schüttflix due to its speed and reliability. The connectors could be set up in an hour, a process that would have taken weeks otherwise. With Fivetran as the automated pipeline in the modern data stack, Schüttflix was able to grow its data team and start benefiting from new insights. The company integrated data from HubSpot and MySQL databases to track customers from the lead stage to onboarding. Dashboards were created to provide detailed insights into suppliers and carriers, enabling around 70 of the company's 135 employees to drill down into the specifics of the highly localized business. The company also set up feedback loops using slack bots that triggered individualized alerts based on data in BigQuery, triggered by Google Cloud Functions.
Operational Impact
Quantitative Benefit
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