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Jon Prescott

Nov 13 2025

Why OEMs Win When Distributors and Third Parties Use Branded, Localized Platforms

OEMs Win

In today’s competitive industrial and manufacturing landscape, customer experience doesn’t stop at the OEM—it extends to every distributor, service partner, and third-party that interacts with the end user. Yet, many OEMs still rely on disconnected systems, generic tools, or unbranded solutions when it comes to enabling their partners in the field.

Written by Jon Prescott · Categorized: AI, CX, IIoT, IoT, Machine Learning, Regression Modeling · Tagged: AI, alerts, API, artificial intelligence, competitive advantage, Data Exchange, data visualization, data-driven decision-making, dynamic forecasts, equipment monitoring, fleet operations, forecasting, IIoT, Industrial Internet of Things, Internet of Things, IoT, Machine Learning, OEMs, PdM, Predictive Maintenance, real-time data, regression modeling, regression models, rental fleet management, Uptime

Oct 30 2025

Security Technology Company Case Study

Security Technology Case Study

The Business Situation Our client is a security technology company and a recognized leader in personal panic buttons and advanced security solutions. The company specializes in emergency notification systems that deliver protection for end-users across diverse environments—from courthouses, schools, and healthcare facilities to domestic violence survivors and remote professionals such as home health providers and […]

Written by Jon Prescott · Categorized: Case Studies

Oct 13 2025

Turning Service Data into Strategic Advantage

Data driven decision making

In machine building and OEM operations, field service is often treated as a reactive cost center—something that kicks in when things go wrong. But what if your service operations could become a strategic source of insight and differentiation?

Written by Jon Prescott · Categorized: AI, CX, IIoT, IoT, Machine Learning, Regression Modeling · Tagged: AI, alerts, API, artificial intelligence, competitive advantage, Data Exchange, data visualization, data-driven decision-making, dynamic forecasts, equipment monitoring, fleet operations, forecasting, IIoT, Industrial Internet of Things, Internet of Things, IoT, Machine Learning, OEMs, PdM, Predictive Maintenance, real-time data, regression modeling, regression models, rental fleet management, Uptime

Sep 11 2025

How Scante Helps OEMs Achieve Market Differentiation and Profitability Through IoT and Customer Experience

While differentiation helps win sales, profitability comes from operational efficiencies and new revenue opportunities.

Written by Jon Prescott · Categorized: AI, CX, IIoT, IoT, Machine Learning, Regression Modeling · Tagged: AI, alerts, API, artificial intelligence, competitive advantage, Data Exchange, data visualization, data-driven decision-making, dynamic forecasts, equipment monitoring, fleet operations, forecasting, IIoT, Industrial Internet of Things, Internet of Things, IoT, Machine Learning, OEMs, PdM, Predictive Maintenance, real-time data, regression modeling, regression models, rental fleet management, Uptime

Aug 11 2025

Interactive Mapping is a Game-Changer for OEM IoT and Customer Experience

Interactive Mapping Rental Fleets OEMs

Knowing where your machines are, their condition, and how they’re being used is critical to running a profitable and efficient operation. That’s where interactive mapping with live locations, machine statuses, and customizable data, powered by Scante.net, becomes indispensable.

Written by Jon Prescott · Categorized: AI, CX, IIoT, IoT, Machine Learning, Regression Modeling · Tagged: AI, alerts, API, artificial intelligence, competitive advantage, Data Exchange, data visualization, data-driven decision-making, dynamic forecasts, equipment monitoring, fleet operations, forecasting, IIoT, Industrial Internet of Things, Internet of Things, IoT, Machine Learning, OEMs, PdM, Predictive Maintenance, real-time data, regression modeling, regression models, rental fleet management, Uptime

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