No end-to-end sample traceability
Manual tracking risked misplacement, gave no visibility into which analyst handled which part of a sample, and made the lifecycle across test stages hard to follow.
A sub-sample datasheet model gave a government carpet testing lab piece-level traceability through destructive testing, cutting coordination effort and audit observations.
The client is a premier Government of India carpet testing laboratory, responsible for evaluating carpets and textile floor coverings for domestic certification and export compliance. The lab operates under stringent quality frameworks and ISO 17025 accreditation requirements.
60%
less coordination effort
50%
faster sample allocation
~50%
fewer non-conformities
~50%
faster COA delivery
Manual tracking risked misplacement, gave no visibility into which analyst handled which part of a sample, and made the lifecycle across test stages hard to follow.
Every sample required multiple destructive tests, and was physically cut into smaller pieces with no system to track those pieces independently.
Certificates of Analysis were manually compiled from multiple analysts' results, driving up turnaround time and the chance of human error.
Audit trails and a standardized approval process were missing, raising ongoing data integrity concerns.
Deepak Cybit deployed a customised LIMS built specifically for textile and carpet testing workflows, centred on a sub-sample tracking model that mirrors how a carpet sample is actually cut apart and tested.
Every incoming sample is logged with a system-generated Sample ID, with all test requirements mapped upfront and a barcode label generated for physical tracking.
Established a single digital record for every sample entering the lab.
A datasheet-driven model manages destructive testing: each test generates a uniquely identifiable sub-sample linked to the parent sample, with a labelled physical piece assigned to an analyst.
Cut coordination effort by 60% and improved allocation speed by 50% through precise physical-to-digital mapping.
Analysts see assigned datasheets on a role-based dashboard and enter results directly against standardized templates aligned to the method of analysis, ISO, IS, or ASTM, with instrument integration where applicable.
Improved overall test execution efficiency, cutting turnaround time by nearly 25%.
A structured, multi-level approval workflow, analyst entry, reviewer validation, final technical approval, is configured around the lab's actual sample movement, with every action automatically logged into a tamper-proof audit trail.
Non-conformities in audits declined by approximately 50%.
Once every datasheet for a sample is approved, the system compiles results automatically into a NABL-compliant Certificate of Analysis, with digital signatures and full approval traceability, and zero manual compilation.
Report delivery timelines improved by roughly 50%.
Role-based access control, complete audit trails, version-controlled documents, and standardized workflows are embedded directly into how the system works, not layered on afterward.
Gave assessors a complete, searchable compliance record on demand.
It bridges the gap between physical sample handling and digital traceability, the piece of the puzzle that matters most in a destructive testing environment like carpet testing, where a single sample becomes several independently tracked test pieces.
Sampleify transformed the laboratory from a manual, fragmented system into a fully digitized, traceable, and compliant operation, improving efficiency and accuracy while building a foundation for scaling operations and maintaining global quality standards.
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