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Feb 02 2026

Why End Users Prefer OEM Apps Over Third-Party Tools

OEM Apps

The preference for OEM apps over third-party tools reflects a broader shift in how end-users evaluate technology. They are no longer looking for disconnected tools that solve narrow problems. Instead, they want integrated, authoritative platforms that support the full lifecycle of their equipment.

Written by Jon Prescott · Categorized: AI, CX, IIoT, IoT · 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

Jan 12 2026

Top 5 Ways OEMs Can Use IoT Data to Improve Customer Retention

customer retention

Customer retention has become one of the most powerful levers for OEM growth. While acquiring a new customer can cost 5–10 times more than supporting an existing one, many OEMs still rely on reactive, manual communication methods that leave end-users frustrated and underserved. IoT data changes everything.

Written by Jon Prescott · Categorized: AI, CX, IIoT, IoT · 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

Dec 30 2025

Why 2026 Is the Breakout Year for OEM Digital Aftermarket Services

OEMs

2026 marks a turning point. IoT-connected equipment and branded digital portals are no longer experimental; they are becoming the backbone of modern OEM aftermarket strategies. OEMs that embrace this shift will unlock new revenue streams, strengthen customer relationships, and future-proof their businesses for the next decade.

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

Dec 09 2025

Unlocking Service Sales with IoT Data Triggers

IoT data Triggers

In machine building and industrial equipment, selling a machine starts the customer relationship. The real value and long-term revenue come from service, support, and parts. Traditionally, selling services relies on waiting for problems, manual outreach, and assumptions about machine use.

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

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

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