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OUTBOUND LOGISTICS

Activities involved in converting the inputs into finished products and services. This includes manufacturing, assembling, packaging and testing.

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CUSTOMER SERVICE

Supporting and enhancing the product or service after sale, including customer support, warranties, repairs and maintenance.

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OPERATIONS

The process of transforming inputs into finished goods or services, including tasks like manufacturing, assembling, packaging and testing.

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MARKETING & SALES

Promoting and selling products or services through activities like advertising, sales efforts, pricing and managing distribution channels.

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INBOUND LOGISTICS

 Receiving, storing, and managing materials or inputs that are essential for the production process.

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INFRASTRUCTURE

Company-wide systems and structures that support the entire value chain, such as finance, accounting, legal and organizational structure.

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HUMAN RESOURCE MANAGEMENT

Recruiting, training and managing the company's workforce.

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TECHNOLOGY DEVELOPMENT

Engaging in research, innovation and technological advancements to improve products or services.

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PROCUREMENT

Sourcing and purchasing materials or inputs required for production.

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AI Agent for Process Improvements
GREENE 4.0
Country: Austria

Focus area:Digital

Thematic area: Digitalization and Connectivity, Data Analytics and Artificial Intelligence

TRL phase: TRL 6 - technology demonstrated in relevant environment (Technology development)

Addressed business processes: INBOUND LOGISTICS process , MANUFACTURING OPERATIONS process , CUSTOMER CUSTOMER SERVICE process , PROCUREMENT process , OUTBOUND LOGISTICS process , MARKETING & SALES process

Expected benefits

Improving productivity
Reduction of costs
Improving the quality
Simplification of operations
Improving business predictability
Turnkey solution
Increase production capacity
Increased consistency of the process

AI Agent for Process Improvements

Solution overview

Our solution is the first no-code AI tool with an interactive visualization that enables faster diagnosis of process and machine data without requiring expertise in AI or data science. We empower every expert in the company to analyze operational data through an intuitive UI, assisted by an AI agent. By connecting the domain knowledge of engineers, process experts, and managers with their data, manufacturers can diagnose issues faster and prepare business cases for process improvements within minutes. Our tool is industry-agnostic and supports process improvement projects across manufacturing sectors such as pharmaceuticals and food & beverage. It can also be applied to discrete manufacturing environments where time-series data is available. Our target users are those who understand their processes and machines but lack AI expertise or time to learn complex tools.

Key features

+ Upload historical data from a CSV or EXCEL file (complex integrations we can handle in a second step) + Interactive data visualisation that can be controlled through easy text prompts + Automatic annotation of data with events (e.g. process errors) manually in the visual, or through static rules or via our AI agent through plain text + Contextualise events in your operational data within minutes and save your experience in one tool + ⁠Automatic generation of a PDF report with quantified use-cases for decision making + Export contextualised data with domain knowledge to enable AI and digitalisation of processes

Integration and adaptability in manufacturing environments

The solution can be easily integrated using common interface technologies in manufacturing (e.g. OPC UA, REST API, OsiSoft PI). We also offer customized connectors. The first use of the tool can be performed by uploading your data as a CSV or EXCEL file within minutes.

Implementation support and training for manufacturers

We offer end-to-end support to our customers with our partner network from workshops of AI until real-time integration of AI tools into processes to make sure that the tools generate added-value. With our extensive experience in manufacturing, engineering, supply chain and Software development we offer following services: + Workshops of AI use-cases in manufacturing + Training of usage of our tool + Tool integration into existing company tools and processes + Customized IT solutions for process automation + Tailored data analytics, process mapping, and project management for process improvement initiatives + Customized Real-Time KPI calculations and BI dashboards

Sustainability, compliance and certifications in the EU

N/A

Use cases

Example of successful implementation of solution in manufacturing company.

1) We helped a printing machine OEM through our data analysis tool to get fast insights on readiness of data for anomaly detection and Predictive Maintenance. The results have been used directly shaped the design for retrofitting the next machine versions for Predictive Maintenance.

Case studies or testimonials showcasing the impact of the solution on real-world operations.

N/A

Link to the solution video or pdf technical documentation.

https://www.predsense.ai/

ROI & Costs

Expected return on investment (ROI)

On average the ROI for Predictive Analytics solutions is 6 - 12months

Cost overview: implementation and ongoing expenses

See our website for references or contact us via mail to get an offer info@predsense.ai

Is this service the right solution for you or your company? Send us an inquiry.

Provider of service

PredSense GmbH

Country: Austria

Focus area: Digital

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