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By adopting eco-friendly and digital solutions across production, operations, administration, marketing, and sales, businesses can reduce their environmental impact while enhancing and market appeal. Embrace these efficiency strategies to position your company at the forefront of the green economy. Embrace these strategies to position your company at the forefront of the green economy.

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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Country: Italy

Focus area:Digital

Thematic area: Data Analytics and Artificial Intelligence

TRL phase: TRL 9 - actual system launched on the market (System launched)

Addressed business processes: MANUFACTURING OPERATIONS process , CUSTOMER SERVICE process , HUMAN RESOURCE MANAGEMENT process

Expected benefits

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

Meti

Solution overview

Meti aims to combine the know-how of the most expert operators with data. Using Causal Inference and AI we digitize the process and the expertise present in the company to streamline processes, find the root cause of problems and restart production faster. Meti focuses on process industries and their regulation and quality problems, with use cases in metal, plastic, rubber and pharmaceuticals. Machine builders can build intelligent and deterministic chatbots in Meti, thanks to the cause-effect reasoning of the most expert operators. The finalists exploit Meti to digitize the know-how that distinguishes them from the competition, making it a company asset and making it available to their more junior colleagues. The union of human know-how and machine data allows for more efficient and effective operations, faster maintenance and diagnostics and an improvement in the average quality of the products.

Key features

At Meti we leverage the most suitable technologies for each task for our industrial customers. Unlike solutions on the market that try to standardize all procedures or leave great freedom to the operator, Meti combines * the reasoning capabilities of operators by encoding them in cause-effect graphs * the potential of LLMs to quickly retrieve information consistent with the context * a platform designed to be easy to use so that operators themselves contribute to its maintenance

Integration and adaptability in manufacturing environments

The platform is intended to run both in cloud and on-premise. We have open, standard, connections for data exchange and API for elaboration results along with our user interface. Meti already has connectors for SIEMENS Industrial Edge platform that extend its integrability towards the OT world. Customers can freely develop their own interfaces or could ask for customizations.

Implementation support and training for manufacturers

A key aspect during the adoption of Meti is the training program on Causal AI and how to digitalize industrial know-how. This is a mandatory step in order to actually use efficiently the plaform. We also offer a consulting service where our experts and data scientists do the knowledge digitalitalizations interviews with the operators and write down the graphs for themselves. First couple of weeks are included in the onboarding offer for the customers.

Sustainability, compliance and certifications in the EU

We are working on the compliance to industrial standars. One of the aims of the platform is the reduction of costs due to better processes. For steel or glass industries, this immediatly translates in less energy costs with great benefits for the environments. On a use-case we are expecting to save costs between hours, materials and energy up to 7mln / years.

Use cases

Example of successful implementation of solution in manufacturing company.

A large manufacturer of kit forniture has adopted Meti to troubleshoot the problems that stop the production. The customer nominated 5 expert operators to digitalize their knowledge and reasoning towards the most frequent problems. In a period of 2 months 7 machines have been digitalized and younger operators have access to the platform though tablets along the production lines. Whenever a problem occurs, the operator scans with the tablet a QR code applied on the machine and starts the chatbot asking the operator what he sees. Merging observations, data coming from the machines and the existing know-how and examples the operators are guided to solve faster the problem or to acquire all the needed information for serior operators or maintainers. The customer wanted also a customization to implement within the same plaftorm also the standard procedures (SOP) for the start of the production. Customer is very happy with the platform and aims to gradually release the access to all its 3000 machines.

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

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Link to the solution video or pdf technical documentation.

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ROI & Costs

Expected return on investment (ROI)

ROI is around 5 to 10x the total ownership cost of the platform. For machine builders that resell the service the ROI is also immediate since it scales with the number of machines.

Cost overview: implementation and ongoing expenses

The oboarding cost ranges from 5.000 to 50.000 euros in function of the dimension, sector and consulting needed. The platform has a yearly license that goes by the number of users or machines connected. For large corporate flat licences could be discussed.

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

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