Problem Statement

Xeros needed an innovative solution to compare the performance of their revolutionary laundry machines with competitors’ machines without making modifications. The goal was to collect performance metrics, ensure SLA compliance, and build a data-driven business for optimizing laundry services.

Solution

Elyxor led the R&D effort to create a scalable IoT system with passive sensors, data acquisition hardware, and cloud integration. The system passively gathered data from machines and used machine learning to analyze performance against SLAs, all within a budget of $1,000 per installation.

Key Features

• Passive Sensor Design: Captured data from competitor machines without physical modifications, avoiding liability issues.

• Cost-Effective Solution: Delivered a complete package, including installation, for less than $750 at scale.

• Cloud Integration: Enabled remote configuration and seamless data uploads for real-time analysis.

• Machine Learning Insights: Interpreted sensor data to classify laundry formulas and evaluate machine performance.

• User-Friendly Dashboards: Provided comparative insights for customers and granular operational views for Xeros staff.

Results

• Increased Sales Opportunities: Demonstrated superior Xeros machine performance to prospects by measuring real-world cost savings.

• Improved SLA Compliance: Monitored water usage, chemicals, runtime, and other metrics for SLA adherence.

• Predictive Maintenance: Identified issues early to optimize machine uptime.

• Patent Recognition: Xeros earned multiple patents for the technology, with Elyxor's expertise recognized in the innovations.

Tech Stack

• Hardware: Custom passive sensors and data acquisition devices.

• Software: Cloud-based analytics, machine learning tools, and web-based dashboards.

• Cost-Effective Deployment: Installation and operation streamlined to minimize costs and maximize scalability.