Why IoT & Machine Data Alone, are Not Enough for Service Intelligence

The Role of IoT and Machine Data in Service Intelligence Device and Machine Data Helps You Make Accurate Predictions With more and more data available...
Amit Verma
April 11, 2022
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Device and Machine Data Helps You Make Accurate Predictions

With more and more data available from IoT devices and equipment assets, service leaders can now pinpoint the source of an error as soon as it occurs, identify co-occurring errors, and predict the top 3 next likely errors.

There are typically two primary data sources around a device or machine:
1.) Sensor telemetry data of the asset itself
2.) Peripheral data related to an asset’s service history and customer profile

IoT and connected device diagnostics on its own does not give accurate predictions. AI adds a layer of understanding to accurately read your service data including specific terminology, product models, and errors to make accurate predictions at scale.

Bespoke AI Gives You Comprehensive, Accurate Predictions at Scale

Co-relations between sensor and enterprise data pave the way for the ultimate customer experience. By processing both structured and unstructured data, service leaders can make accurate predictions and move toward predictive, proactive service.

Neuron7 analyzes IoT and machine data, past cases, knowledge base articles, service manuals, notes, and any other data about how issues are solved in your organization to create game changing resolution intelligence at scale.

Contact us to learn more, do a POC on your data, and get started.

Frequently asked questions

What makes Neuron7 different from other AI tools for service?

Neuron7 differs from other AI tools for service by building a Service Expertise Graph from actual case history rather than searching documents and surfacing suggestions. Resolution guidance is deterministic and grounded in fixes your team has already performed. Neuron7 also predicts failures before they happen and improves with every case closed.

Does Neuron7 replace our existing CRM or ticketing system?

No. Neuron7 does not replace existing CRM or ticketing systems like Salesforce, ServiceNow, or SAP. Instead, it operates as a resolution intelligence layer on top of those systems, adding service expertise and resolution intelligence that those platforms do not natively provide.

How long does deployment take?

Neuron7 deployment typically takes weeks, not months. Most customers are running pilots within weeks of kickoff, starting with the highest-volume product lines and failure patterns before expanding across the installed base.

How does Neuron7 connect to our existing systems?

Neuron7 connects to existing systems through direct integrations with Salesforce, ServiceNow, SAP, Microsoft, and most major CRM and FSM platforms. Pre-built connectors require no custom development and no IT project. Technicians and agents continue working in the tools they already use, with Neuron7 surfacing guidance in their existing workflow.

What kind of service organizations use Neuron7?

Neuron7 is purpose-built for Fortune 1000 enterprises that manage complex technical equipment at scale. This includes medical devices, high-tech manufacturing, industrial systems, payment technology, and telecom organizations. Most customers have 1,000 or more service technicians operating across multiple regions or product lines.

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