Menu

IoT FEATURE NEWS

The IoT World Needs Granular, Usage Rating Subscription Billing

By

Usage rating subscription billing has been a great fit for the Unified Communications-as-a-Service (UCaaS) marketplace for some time now. The explosion of the Internet of Things (IoT) has created even more opportunities for this type of billing, but also drives complexities and challenges.

LogiSense Corporation, a company that specializes in software for agile usage rating subscription billing, is ready to meet those challenges as it expands into the realm of IoT and M2M communications. CEO and Founder Flavio Gomes met with Erik Linask, group editorial director of IoTevolutionworld, at the recent ITEXPO Florida to discuss what LogiSense has been up to and where the company is going.

“There’s this new movement that’s happening within our markets and that we’ve kind of termed the usage economy,” said Gomes. “Consumers and end users are tired of paying for very rigid billing subscription models.”

LogiSense addresses this demand by placing usage rating at the core of its complex subscription billing platform. The end goal is to create a balance between providers of digitized services and consumers by offering a personalized pricing model that considers the monetization priorities of service providers.

Usage rating is largely accomplished through mediation, the practice of gathering usage records and massaging that data and information to make it billable in a useful manner. Gomes said the B2B environment inherent in UCaaS and IoT services also creates additional complexities when it comes to pooling, bundling and discounting certain services.

“What we’re finding now, in the IoT marketplace, is that they’re experiencing some of the same challenges (as UCaaS),” said Gomes. Extremely granular, personalized pricing models are key to the success of IoT services, and yet many billing platforms simply can’t handle this usage-based model. He added that IoT is a nascent marketplace comprised of “microtransactions” and micropayments that may each represent fairly low value. When pooled together, however, they become compelling.

The LogiSense platform pulls usage information in real-time from all types of back-office applications, based on any type of triggered event. The result is an accurate and precise monetization solution designed to prevent revenue leaks and enable extreme agility and flexibility.

Gomes said the company is looking at predictive analytics and business intelligence as it moves forward, based on the massive amounts of data being collected from usage-based processes. In January, LogiSense announced that its EngageIP Usage Rating and Billing Platform had been chosen by Numerex Corp for its hosted IoT vertical solutions.




Edited by Maurice Nagle
Get stories like this delivered straight to your inbox. [Free eNews Subscription]

IoTevolutionworld Contributing Editor

SHARE THIS ARTICLE
Related Articles

Connected Fleets Have a Data Gap: Why Telematics Cannot Tell the Whole Vehicle Story

By: Contributing Writer    11/2/2026

Fleet connectivity has grown a lot over the past few years. Telematics platforms now help track location, route history, speed, idle time, fuel consum…

Read More

Why ISO/IEC 27001 Matters for IoT Devices

By: Contributing Writer    10/28/2026

Internet of Things (IoT) devices link physical hardware to digital networks across industries, including healthcare, manufacturing, retail and agricul…

Read More

Using AI to Predict Sensor Drift Before It Happens

By: Contributing Writer    10/20/2026

Drift is the gradual shift of a sensor's readings away from true values over time. It can be difficult to detect and costly to correct, and it may lea…

Read More

Tracking assets you don't own: What IoT freight visibility demands from a Transport management system

By: Contributing Writer    10/13/2026

Industrial IoT assumes you can instrument the thing you need to monitor. Freight is the case where you can't, and the design consequences run all the …

Read More

Autonomy Earned in Stages: What IFS Intelligence Gets Right About Industrial AI

By: Carl Ford    10/13/2026

As industrial AI evolves from providing recommendations to taking autonomous action, staged autonomy offers a practical framework for balancing automa…

Read More