Wastewater Operations & Billing Optimization Case Study

Industry

Wastewater Solutions Provider

Overview

Wastewater provider unified real-time IoT monitoring, predictive dispatch, and transparent billing with Equipt.ai for produced-water treatment across oil and gas operations.

Protect your margins with accurate field data from job to invoice

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Challenges Faced

No single source for rental fleets Managing rental fleets and produced-water treatment units across wide geographic areas lacked a single source of truth for asset performance.
Late issue detection without monitoring Without continuous monitoring, issues were detected late, causing extended downtime.
Separate maintenance tracking challenges Separate maintenance tracking systems made response measurement difficult.
Billing disputes from missing data Billing disputes arose from a lack of operational data backing invoices.

Solution

Modernizing Wastewater Operations with Equipt.ai

Real-time IoT monitoring continuously tracks all wastewater and produced-water units with live metrics, volumetric readings, and anomaly alerts for early issue detection.
Predictive service dispatch triggers calls based on performance indicators with end-to-end tracking from alert to resolution and root-cause documentation.
Downtime and performance analytics record events, root causes, and resolutions to drive data-based reliability improvements and equipment optimization.
Transparent, data-backed billing ties usage, uptime, volumetric data, and service history to invoices, providing verifiable customer documentation and reducing disputes.
IoT integration buffers data during short connection failures and syncs logs when connectivity returns, ensuring complete operational and volumetric history for every unit.
Milestone-based pricing automatically creates invoices when each job milestone is approved—for example, one invoice at job approval, another when inspection is completed, and a third when mobilization is done—so billing follows the operational lifecycle without manual intervention.

Results

Increase in operational efficiency through real-time monitoring
Higher customer satisfaction from transparent data and proactive service
Reduction in billing disputes from accurate, data-backed invoicing
14–20% reduction in service downtime

Testimonial

After mapping our quote-to-cash process, we transitioned to this platform—boosting efficiency by 33%. Real-time IoT data has optimized tracking, monitoring, billing, and decisions. We're committed to growing with it for ongoing reliability.

President & CEO