Case Study|Digital Transformation
Caystard guided a legacy manufacturing company through a full digital transformation, integrating IoT-enabled production monitoring and cutting unplanned downtime by 42%.
A century-old manufacturing enterprise producing industrial components sought to modernize its production floor and back-office systems to remain competitive against digitally native competitors. Caystard led an end-to-end digital transformation program.
Production monitoring relied on manual inspection rounds and paper logs, making it difficult to predict equipment failures before they caused costly downtime. Back-office systems for inventory, procurement, and finance were disconnected, requiring manual reconciliation between departments.
Caystard deployed an IoT-based predictive maintenance system across production lines, connected via a centralized industrial data platform, and integrated back-office ERP functions into a single digital system with automated cross-department workflows.
The transformation began on the factory floor, where Caystard installed IoT sensors on critical machinery to monitor vibration, temperature, and usage patterns in real time. This data fed into a predictive maintenance model that flagged equipment showing early signs of wear, allowing maintenance teams to intervene before failures occurred rather than reacting after breakdowns.
In parallel, Caystard integrated the company's previously siloed inventory, procurement, and finance systems into a unified ERP platform, eliminating manual data re-entry between departments and giving leadership a real-time view of operational costs and production output.
Change management was a significant part of the engagement, since much of the factory workforce had operated on manual processes for decades. Caystard ran hands-on training sessions and phased the rollout by production line, allowing teams to adapt gradually. Within a year of full deployment, unplanned downtime had dropped significantly and cross-department reporting cycles shrank from days to hours.
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