Case Study: Industrial Machine Manufacturer

Elyxor specializes in building forward facing technology in the IoT space. We have helped to shape the future of the hospitality business working with the manufacturer of a laundry machine that uses 80% less water, fewer chemicals, and is more efficient in cleaning articles than competitive machines. This machine is the first real advance in laundry machine technology in 50 years.

Objectives and Challenges

  • Our client manufactures a revolutionary new laundry machine that uses 80% less water, fewer chemicals, and is more efficient in cleaning articles than competitive machines. This machine is the first real advance in laundry machine technology in 50 years.
  • To accelerate sales opportunities, they needed a way to measure the utilization and performance of competitor machines and the ability to compare with promised services levels against their proprietary machine.
  • To complicate the design challenge, no modifications to the competitor machine could be done.
  • The total solution installed, including labor, had to be less than $1000.
  • Required a simple, self-service website design to graph, at various levels of details, the comparison against theoretical and actual results based on the type of laundry (formula) being processed.
  • The sensor package, data acquisition equipment, and cloud integration had to be simple to install and remove. It also had to run unattended, require no extra operator intervention, and reliably send data to the cloud-based back-end systems for analysis.
  • For the proprietary machine, operational measurements and dashboards were needed to improve visibility into machine usage and service.
  • Author Elyxor, Inc - IoT Practice
  • Released 12.21.2015
  • Category IoT
  • Client Green Washing Machine Manufacturer

Elyxor Approach and Solution

  • Elyxor, working with its hardware partners, led the R&D effort to design and patent, for our client, passive sensors and a data acquisition device to measure input from laundry machine relays, valves, and utility meters.
  • The sensors, data acquisition hardware, and cloud integration software were designed and developed by Elyxor to be pre-configured and installed on location by a technician with simple instructions and minimal training. Configuration and setup is designed so that it can be completed remotely by an administrator once connected to the Internet.
  • Elyxor designed a simple machine learning tool that interpreted the sensor data and determined the classification of the formula the machines are processing.
  • Elyxor’s UX design team created an easy to use web reporting application and dashboard for laundry management, operations, and Client service teams.
  • Elyxor sourced and managed the initial manufacturing of the sensors and data acquisition hardware.

Results Achieved

  • A simple, very cost effective, and scalable solution for the field technicians to install at prospect and customer sites.
  • Passive sensors can be installed and removed from competitive machines with no modifications to the machine, eliminating any liability issues.
  • Simple to use admin tools to configure the learning engine. This properly interprets what the machine is processing and how it compares to competitive machines and SLAs.
  • An easy, intuitive web application and reports that can be used to demonstrate to a sales prospect the benefits of this radically new laundry technology.
  • Accurate data collection and analysis to be used for municipal and utility rebate programs that save our clients customers thousands of dollars when purchasing their machines.
  • Proactive service management by our client’s technicians and third party service personnel.

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Bringing innovation to an unlikely industry

By leveraging our deep expertise in IoT, Elyxor has helped to shape the future of the hospitality business working with the manufacturer of a laundry machine that uses 80% less water, fewer chemicals, and is more efficient in cleaning articles than competitive machines - the first real technological advancement in the industry in 50 years.