A powerful context!
continuous improvement in the service of industrial efficiency
In the context of continuous industrial improvement , a study of the gain factors of voice-based AI solutions for field processes
The study proposed by SPIX industry is part of a continuous improvement approach to industrial processes driven by digital transformation . This transformation faces significant obstacles to field processes . Studying the gains brought about by field voice AI solutions helps to overcome some of these barriers and maximize the ROI of the digital transformation.
The digitalization of field processes means:
- The increase in low value-added time
- The creation of new security breaches
- Traceability targets not met
- Underutilization of the information provided
In response, voice AI solutions enable:
- Voice input and transmission
- A hands-free and eyes-free interaction
- Intelligent assistance
- Guidance and decision support
Evaluation study of the benefits of Voice AI in your business use cases
To gain clarity, SPIX industry offers a comprehensive study of the win factors of voice AI solutions based on the evaluation of measurable and achievable KPIs .
- Study of human factors : acceptability, ergonomics, usefulness, trust in AI systems
- Study of the operational environment : safety constraints, working conditions, mobility
- Study of methodological and quality requirements : document structure, existing software, data type
- IT constraints analysis : existing architecture, deployed hardware, data security, interfaces and operational maintenance
Illustration by example
elements of the study used in KPI analysis
For each audio device tested, operators assign a score based on comfort , durability , and compatibility with their PPE. The device score helps select the right solution for the right use case.
The performance of a voice system is also measured by its error rate, which varies depending on the context of use. This performance criterion is used to maximize the impact of voice usage within a given context.
Based on tests with operators, voice efficiency criteria make it possible to extract an impact on time spent.
Study exit
selection of use cases that maximize the identified KPIs, based on the targeted business area
Let’s take a theoretical example: the industrial company Inspect404 , specializing in the inspection of industrial sites in the field of chemicals and ATEX products.
For this manufacturer, the selected KPIs are maximized across the inspection , workplace safety , and field service processes. Voice use cases will be prioritized within these processes.
For another industrial company, for example in the automotive , defense or energy sectors, the business processes that favor the expression of the selected KPIs will be different.
To go further …
Contact SPIX industry HERE
(select the ” KPI Analysis ” option)
A little reading and research on the topic of KPIs and ROI for voice AI solutions in industry. The question of identifying the gains for disruptive innovations in industry is fascinating!
- The tumultuous relationship between Artificial Intelligence and Digital Transformation
- The benefits of voice assistance for companies’ HSE functions
- Is Industry 5.0 right for you?
- How to evaluate the ROI of a disruptive innovation for industry