Case Study

How an Industrial Materials Lab Streamlined Sample Tracking and Achieved 60% Efficiency Gains with Scispot alt-LIMS

An industrial materials testing lab specializing in coal ash processing implemented Scispot alt-LIMS to automate sample tracking and eliminate manual data management, achieving 60% efficiency gains through unified sample management with parent-child lineage tracking, ASTM-compliant workflows, and integrated barcode labeling for construction materials quality assurance.
Challenges
Fragmented Data Management Ecosystem
Complex Sample Lineage Tracking Requirements
Limited Technical Infrastructure Resources

Challenges

Before adopting Scispot, the lab faced significant operational bottlenecks:

  • Fragmented Ecosystem: The lab relied on manual transcription across dozens of Excel worksheets. This created disconnected workflows that spanned from lab notebooks to project management systems, complicating ASTM compliance and construction materials regulatory documentation.
  • Resource Constraints: The lab struggled with the inefficiencies of manually managing data across 39 disconnected worksheets for coal ash processing and quality assurance workflows.

Solutions

The lab utilized Scispot alt-LIMS to digitize and integrate its processes:

  • Workflow Digitization: The lab eliminated manual spreadsheet management and transcription.
  • Instrument and System Connectivity: The facility implemented integrated instrument connectivity with automated data capture for all quality assurance (QA) workflows. Furthermore, the lab achieved full ERP connectivity using an API-first architecture, allowing for seamless project management and cost tracking.
  • Integrated Analytics: The lab configured an analytics and reporting platform alongside LabOS for streamlined, ASTM-compliant QA processes, including automated data visualization for construction materials certification.

Results

The transition to Scispot produced several key improvements:

  • Operational Efficiency: The lab achieved a 60% improvement in operational efficiency by eliminating manual transcription bottlenecks and implementing real-time status monitoring.
  • Elimination of Transcription Errors: The integration led to a 100% elimination of manual data transcription across all quality assurance workflows.
  • Scalable Sample Tracking: The lab improved its sample lineage tracking capability by 30x, enabling the seamless tracking of complex samples from parent materials through multiple processes—such as sieve analysis, grinding, and characterization testing.

60%

Operational Efficiency Improvement

100%

Elimination of Manual Data Transcription

30x

Sample Lineage Tracking Capability