Leading Recreational Boat Manufacturer

A world-class recreational boat manufacturer's upholstery department — staffed by 90 operators producing 500–600 customized cushioned parts daily — operated entirely on paper-based work instructions and manual production tracking. The plant manager had no real-time visibility into how parts moved from raw material to finished goods across assembly stations. Time studies were conducted manually, but given the volume of parts and operators involved, the data was too sparse and delayed to support data-driven decisions. As one Process Improvement Engineer noted, the manual collection of information simply wasn't providing enough data to act on. Errors from misread instructions, inconsistent operator performance, and slow onboarding for new hires compounded the operational cost of this visibility gap.

A Senior Process Engineer identified Tulip's no-code operations platform as the solution and built the initial applications independently — without dedicated IT support. Tulip apps were deployed on tablets at upholstery workstations, replacing paper work instructions with digital, image-rich step-by-step guides. Operators used integrated barcode scanners to log start and stop times for each part, enabling automated cycle time calculations. IoT-connected sensors and the Tulip platform captured real-time production data at the station level, feeding live dashboards that gave supervisors immediate visibility into individual and aggregate operator output. The deployment moved from build to operational insights in a matter of days, demonstrating the platform's low barrier to entry in a high-mix, labor-intensive environment.

The implementation eliminated paper-based processes across the upholstery department and delivered production visibility that was previously unattainable at this scale. Within days of deployment, the team could conduct granular, real-time time studies across all 90 operators — a task that had been impractical manually. Key outcomes included:

• Real-time cycle time tracking per operator and per station, replacing periodic manual time studies
• Targeted coaching enabled by actionable performance data surfaced directly to operations management
• Reduced interpretation errors from paper work instructions, replacing ambiguous text with image-guided digital steps
• Faster operator onboarding through standardized, self-guided digital workflows
• Achieved by a single engineer building no-code apps, with no dedicated IT resources required

• High-mix, labor-intensive assembly environments are strong candidates for digital work instructions — the variety of parts amplifies the risk of paper-based errors.
• No-code platforms like Tulip allow process engineers to build and iterate on apps without IT dependency, compressing deployment timelines from months to days.
• Barcode-driven start/stop tracking is a low-friction method for capturing granular cycle time data at scale without disrupting operator workflows.
• Real-time visibility at the individual operator level transforms coaching from reactive to targeted — a meaningful shift in how supervisors manage performance.
• Start with a single department as a contained proof of concept before scaling IoT-enabled tracking to broader assembly operations.