RTLS Use Cases: Real-World BLE Asset Tracking Deployments with RipplesIPS

Ripples IoT - real-time asset tracking, rtls case studies

RTLS case studies – Real-time asset tracking systems

RTLS use cases – from oil & gas facilities in Singapore, marine repairs in the UAE, to automotive plants in India β€” case studies on how leading organisations use 0-wire RTLS to solve real operational problems.

What Are RTLS Use Cases?

A use case is a specific operational problem that a Real-Time Location System solves. The same BLE RTLS platform can address very different challenges depending on the industry and environment β€” from tracking a marine pump through seven repair stages, to monitoring temperature around a CNC machine, to knowing where every pallet is in a 10,000 sq metre warehouse.

The four deployments below represent real use cases across four industries β€” each solved with the same 0-wire RipplesIPS platform, deployed without cabling in under a week.

[SLB] πŸ”§ Oil & Gas | Marine Pump Repair Facility SLB (Schlumberger)

Tracked high-value marine pumps through seven repair stages β€” Intake to Dispatch β€” without a single barcode scan. Supervisors gained real-time WIP visibility across the entire repair floor within one week of deploymentβ€”solution: Work-in-Progress RTLS tracking. In a marine pump repair facility, every pump is a high-value work order moving through a defined repair cycle β€” Intake, Disassembly, Inspection, Parts Procurement, Repair, Testing, and Dispatch. Before RipplesIPS, supervisors relied on manual job cards and verbal updates to track each pump’s status in the process.

SLB deployed RipplesIPS across their repair floor with BLE tags attached to each pump on arrival. As pumps moved between repair bays, zone transitions were logged automatically on the dashboard β€” no scanning, no manual entry. Dwell-time rules flagged any pump that exceeded its expected time at a given stage, giving supervisors an early warning of bottlenecks before they became delays.

What changed:

  • Full WIP visibility across all seven repair stages from a single dashboard
  • Bottlenecks at Inspection and Parts Procurement were identified within the first week
  • Zero-wire deployment β€” live across the full repair floor in under seven days

Every repair bay is a zone. Every pump is a tracked work order. RipplesIPS gives operations managers the same real-time control over a service facility that manufacturers have on a production line. See  how WIP tracking works β†’

[⚑] 🌑️ Wind Power | High-Voltage Transformer Condition Monitoring β€” ZF Wind Power

Deployed wireless temperature sensors on a 33kV high-voltage transformer to replace manual inspection rounds with continuous condition monitoring of critical electrical assets. Solution: Remote temperature & condition monitoring.

In wind power operations, an unplanned failure on a high-voltage transformer or electrical panel isn’t a minor maintenance event β€” it’s extended downtime on a revenue-generating asset, often in a location that isn’t quick or cheap to reach. ZF Wind Power deployed Ripples IoT wireless temperature sensors directly on a 33kV transformer to replace periodic manual spot-checks with always-on monitoring.

Battery-powered BLE sensors were installed without interrupting live electrical infrastructure, transmitting continuous temperature data to a central dashboard for the plant engineering and maintenance team.

What changed:

  • Continuous temperature visibility on a critical 33kV transformer, replacing manual inspection rounds
  • Early-warning data supports condition-based maintenance instead of fixed-interval checks
  • The same sensor platform extends to other critical assets β€” electrical panels, switchgear, and beyond

“Thrilled to see the performance and the immense opportunity it opens for condition monitoring of critical assets like transformers and electrical panels.”
β€” Balasubramaniam Somasundaram, Plant Engineering & Maintenance, ZF Wind Power

See how temperature monitoring works

[Henkel] πŸ‘· Adhesives Manufacturing | Factory Worker Tracking Henkel

Equipped factory workers with BLE wearable tags across production, packaging, and dispatch zones. Zone-level presence, restricted area alerts, and time-in-zone analytics β€” all live on a single dashboard. Solution: Connected worker tracking. Across a large adhesives manufacturing facility, keeping an accurate track of workers across production, packaging, and dispatch zones is essential for both safety compliance and operational efficiency. Henkel deployed RipplesIPS connected worker tracking, equipping factory workers with lightweight BLE wearable tags reporting location in real time to a central dashboard.

Anchors were deployed without any infrastructure wiring, and the system was live within days. Zone-level presence data, restricted area alerts, and time-in-zone analytics all fed into a single operational view for supervisors and safety officers.

What changed:

  • Live zone-level visibility of all workers across the facility at all times
  • Automated alerts when workers enter hazardous or restricted zones without authorisation
  • Time-in-zone analytics surfaced productivity patterns and supported smarter shift planning
  • Compliance reports are generated automatically, reducing the administrative load on safety teams

The same platform that tracks pallets and inventory tracks your people β€” giving factory managers a unified view of everything that moves on the floor. See how worker tracking works

[NUS] πŸ“¦ Research Institution | Warehouse Pallet Tracking PoC National University of Singapore (NUS)

Evaluated RipplesIPS for pallet location tracking and automated cycle counting across a research storage facility. Sub-meter accuracy confirmed, deployed in under four hours, no cabling required. Solution: Warehouse pallet tracking. NUS evaluated RipplesIPS as part of a structured proof-of-concept to assess accuracy, ease of deployment, and suitability for research and storage environments β€” without committing to a full-scale rollout. The Industrial RTLS Starter Kit was used, covering pallet location tracking, zone-based inventory visibility, and automated cycle counting across a defined storage area.

The kit was operational in under four hours with no cabling or IT infrastructure changes. The evaluation confirmed that the solution performs reliably in environments with dense shelving and storage racking β€” conditions that challenge many RTLS technologies.

Evaluation outcomes:

  • Sub-meter location accuracy validated across the full test area, including racked storage
  • Cycle counting is automated, with pallet positions updated in real time on the RipplesIPS dashboard
  • Solution confirmed suitable for research storage environments where asset location and access control matter, alongside inventory accuracy

Not every deployment starts at full scale β€” and it shouldn’t have to. The RipplesIPS Starter Kit is designed exactly for evaluations like this: low commitment, fast to deploy, and directly scalable to full enterprise rollout using the same hardware and software. See how warehouse tracking works

[βš™οΈ] πŸ”§ Automotive Components | Motor Pump Predictive Maintenance β€” EV Powertrain (Bengaluru), India

Cut unplanned pump failures to zero over 12 months by replacing reactive bearing-failure repairs with vibration-based predictive maintenance β€” ROI achieved in 7 months. Solution: Condition monitoring & predictive maintenance.

Bearing failures in cooling tower pumps were costing EV Powertrain’s Tumkur facility $5,000 per hour of lost production, with breakdown tracking done manually and reactively β€” repairs happened only after a failure, with no centralised data to identify recurring problems or prioritise maintenance. Plant manager Akira worked with the Ripples IoT team to deploy RipplesCMMS with BLE vibration sensors and RTLS gateways monitoring 6-axis motion and surface temperature on the plant’s motor pumps, automatically capturing downtime duration, cause (5 Whys), and repair time.

What changed:

  • Zero unplanned pump failures over 12 months, down from frequent unplanned downtime
  • 30% reduction in emergency repair costs
  • ROI achieved in 7 months
  • Maintenance shifted from reactive (fix after breakdown) to proactive, scheduled based on real-time condition data rather than fixed intervals

Rotating equipment gives early warning signs before it fails β€” vibration and temperature drift are both detectable long before a bearing actually seizes. RipplesIPS makes that signal visible and actionable instead of discovering it the expensive way. See how the machine downtime system works

More RTLS Use Cases Across Industries

RipplesIPS is deployed across a wider set of use cases beyond the four above. Each links to a dedicated solution page:

Not sure which use case fits your operation? The Industrial RTLS Starter Kit lets you validate any use case in under a week for US$1,000 β€” same hardware and software as a full enterprise deployment.

Every operational case study on this page started with a single question: how do we get visibility without a costly infrastructure project? If you’re asking the same question, let’s talk. Start with our Industrial RTLS Starter Kit β€” live in under a week, from US$1,000. Talk to us