The needs of the manufacturing world
The limitations of BI systems
Challenges in handling a large volume of data
AInspector vs OpenAI ChatGPT
More targeted and
relevant advice compared
to ‘generalist’ AI
Swift responses and
customization in response to
evolving business needs
Extraction of added value from your data
Pertinent analysis and
forecasts to optimize
production and efficiency
Full control over
privacy and security
Accurate management of
personal data and
Retrieve and present
Analyze and predict
The evolution of processes
on your behalf
The optimal configurations
for your machines
Energy Consumption Reduction
AInspector in your factory
AI software patent-pending by Aivolution
Built on LLM and OPEN
Integrates with your management systems
ERP, SCADA, MES,
PLM, CMMS, WMS
Access it through chat and smart speakers
ALEXA, GOOGLE ASSISTANT
Integrates data visualization tools
GRAFANA, POWER BI,
AInspector provides a comprehensive analysis of production processes, offers intelligent insights, predicts process evolution, and identifies optimal settings based on relevant KPIs. This supports managers and operators in their daily decision-making to enhance efficiency and reduce operational costs.
AInspector brings competitive advantages by integrating with systems such as ERP, MES, WMS, PLM, CMMS, and SCADA. Its flexibility in integration ensures a seamless transition and harmonious collaboration with the systems already in use in your company.
AInspector significantly contributes to production analysis, suggesting optimal work planning and dynamically adapting to unforeseen events. It helps identify delays in cycle times, control product quality, and predict energy consumption, providing a comprehensive and informed view of production.
AInspector is essential for predictive maintenance intervention planning. By detecting anomalies and predicting potential failures, it allows managers to schedule maintenance based on crucial constraints such as technician availability and economic considerations.
AInspector identifies anomalies related to inventory levels, delays in deliveries, and discrepancies between orders, tasks, and inventory. Managers can rely on it to optimize warehouse management and ensure an efficient supply chain.
Operators can optimally configure jobs, choosing parameterizations that best align with the KPIs they aim to optimize. AInspector enables them to monitor machine operations in real-time, detect anomalies, and provide clear instructions for resolution.
AInspector immediately detects anomalies in images sent by technicians during maintenance. It retrieves crucial information directly from manuals, ensuring a prompt and effective response.
AInspector analyzes operators’ queries in natural language, provides information about the ‘deadline’ based on constraints imposed by attributes, and returns an accurate prediction as a response.
We tackled the issue of ‘hallucination’ by allowing users to explore AInspector’s decision-making process through data visualization tools like Grafana or Power BI and provide feedback for continuous improvement over time.
AInspector is accessible through instant messaging apps such as Telegram or WhatsApp and via smart speakers like Alexa or Google Assistant. Additionally, we provide visual support through data visualization tools, enabling users to understand and interact with AInspector intuitively.