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AI Navigator X: Laying the foundation for real value creation with a clear AI strategy

A precise AI strategy and a clearly defined AI target vision are crucial today for effectively anchoring AI in the company, making it usable and scaling it sustainably.

Create the conditions now for focused implementation

Many companies are already investing considerable financial and human resources in AI – but only a few are achieving the desired, scalable benefits.
The main reason: a lack of, or an insufficiently clear, strategic vision for AI.
Without a clear AI strategy and clear objectives, projects become scattered, responsibilities remain unclear and ROI fails to materialise. The necessary "guiding star" that bundles all activities and provides orientation is missing.
 
How do you ensure that your AI initiatives are aligned with an overarching strategic goal? This is exactly where our "AI NavigatorX" offering comes in.
Together, we develop a tangible, actionable AI strategy tailored to your business – including a clear AI target vision and a realistic, prioritised implementation plan.
We ensure that your AI strategy aligns seamlessly with your corporate strategy and all relevant functional strategies, thereby laying the foundation for successful, scalable AI utilisation.
To this end, we address the following four areas in the AI strategy:

  • Vision & target picture
  • Enablers
  • Use cases
  • Execution

This offer is also part of our AI Journey (learn more).

Our Offering

Approach

  • Compiling, reviewing and analysing figures, data and facts
  • Defining and developing AI vision, strategy and target picture
  • Finalising and coordinating AI strategy and target picture
  • Aligning with corporate strategy and functional strategies
  • Identifying and evaluating relevant enablers
  • Developing and quantifying (benefits, CAPEX, OPEX) the implementation plan
  • Summarising, documenting and finalising the results
  • Presenting the results at C-level

Value

  • With a coordinated AI strategy, AI target vision and quantified implementation plan, you will have a tangible navigation tool for the value-adding implementation of AI and the scalable use of AI
  • This will enable you to prioritise and manage all AI activities and projects in a targeted manner
  • At the same time, your company will develop a common understanding of data science & AI

Collaboration

  • You provide the basics (figures, data, facts)
  • We review and analyse the basics
  • We moderate meetings and workshops
  • You participate in meetings and workshops
  • We formulate the AI strategy, visualise the AI target vision and document the implementation plan
  • You continuously validate the results
  • We summarise the results in a report and present them

Deliverables

  • Formulated AI strategy with a visualised AI target vision and a documented implementation plan

Browse through the interesting Data Science & AI cases

Planning - Data science & AI - Planning

Analysis and design of planning processes and organisation

Conducting a planning process and organisational analysis for an international supplier of medical devices and pharmaceuticals

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Data science & AI

Advanced analytics for value & cost engineering

Quantifying potential for manufacturing cost reduction based on value & cost engineering at an international mechanical engineering company.

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Data science & AI

Advanced analytics in procurement

Comprehensive, in-depth analysis of procurement-relevant data to identify optimisation potential regarding material and manufacturing costs, supplier performance, inventory and internal process costs at an international mechanical engineering company.

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Data science & AI

Advanced analytics in assortment management

End-to-end analysis of the product range and definition, simulation of measures to streamline the range for an international manufacturer of cable and communication solutions.

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Data science & AI

Advanced analytics in service

Conducting a deep dive analysis to identify growth potential for the service business at an international mechanical engineering company.

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Data science & AI

Advanced analytics in production

In-depth analysis to optimise productivity, quality, delivery reliability and costs in production (manufacturing, assembly) at an international machine tool manufacturer.

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Data science & AI

Advanced analytics in sales

Identifying optimisation approaches to increase market pressure in sales for an international mechanical engineering company.

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Data science & AI

Advanced analytics in IT

Conducting a deep dive analysis to achieve a substantial reduction of IT costs at an international industrial technical service provider.

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Planning - Production - Procurement - Logistics - Data science & AI - Digital Processes - Digital business

Definition of SCM processes and organisation, as well as rough requirements for replacement filling systems

Process and organisational development in the supply chain for an international beverage manufacturer, including a rough evaluation of replacement filling systems

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Data science & AI

Advanced analytics in forecasting and S&OP

Evaluating optimisation potential (forecasting accuracy, inventory) of forecasting and S&OP at an international building materials supplier.

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Data science & AI

Advanced analytics in the spare parts business

Conducting an end-to-end analysis to optimise the spare/wear parts business (growth potential, delivery performance, costs, inventory) of an international machine tool manufacturer.

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Data science & AI

Advanced analytics in logistics

Conducting an end-to-end analysis of distribution logistics to optimise OTIF, delivery times, inventory and costs at an international manufacturer of components for the electrical engineering industry.

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Industry - Digitalisation & AI - Data science & AI

Data science & AI use cases

Identifying and evaluating monetizable data science & AI use cases at an international plant and mechanical engineering company

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Digitales Wissen, grafisches Element zur Darstellung | © Zellweger Management Consultants AG

Industry - Digitalisation & AI - Data science & AI

IoT strategy and technical concept

Developing a customer-centric IoT strategy with the associated technical concept for an international plant and mechanical engineering company

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Industry - Digitalisation & AI - Data science & AI

Computer vision for quality management

Developing a computer vision solution to identify quality problems and defects for an international manufacturer of quality management solutions

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Industry - Digitalisation & AI - Data science & AI

Smart operations cockpit

Developing and implementing a Smart Operations Cockpit to improve productivity and quality at an international medical technology company

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Industry - Digitalisation & AI - Data science & AI

OEE improvement of an automated warehouse

Development of a condition monitoring system to improve the performance and service life of an automated high-bay warehouse with conveyor technology at an international food company

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Industry - Digitalisation & AI - Data science & AI

Smart CRM data quality improvement

Analysis and improvement of CRM data quality based on data science for an international plant and mechanical engineering company

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Kaufentscheidung eines Businessmann | © Zellweger Management Consultants AG

Industry - Digitalisation & AI - Data science & AI

Selfservice Procurement BI

Short-term development of a self-service procurement BI based on data science for a machine tool manufacturer

Learn more
Kaufentscheidung eines Businessmann | © Zellweger Management Consultants AG

Industry - Digitalisation & AI - Data science & AI

Selfservice Procurement BI

Short-term development of a self-service procurement BI based on data science for an international medical technology company

Learn more

Industry - Digitalisation & AI - Data science & AI

Self-learning forecasting algorithm

Development of a self-learning algorithm for sales forecasting for an international construction equipment company

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Industry - Digitalisation & AI - Data science & AI

Smart customer segmentation & profiling

Customer segmentation/profiling based on data science for the service business of an international mechanical engineering company

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Private Equity - Digitalisation & AI - Data science & AI

OpEx 4.0 tools

Developing digital, data-based tools for shopfloor analysis for portfolio companies of a European private equity company

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Industry - Digitalisation & AI - Data science & AI

Facilities monitoring

Developing and testing a facilities monitoring prototype (performance, conditions, predictions) for an international machine tools manufacturer

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Our experts

You can contact us directly with just a few clicks using our booking tool. Take the opportunity now and arrange a free initial consultation with one of our experts.

Book your meeting now

Thomas Zellweger

CEO

"Data science & AI offer great opportunities to clearly differentiate yourself from the competition through innovative products and services. It is crucial for success to consistently utilise the potential of these technologies."

Patrick Zellweger

Lead Engineer Data Science & AI

"Many companies are not aware of the existing potential that arises from existing data and the use of state-of-the-art technologies and algorithms. We support you in monetising this potential."

Philip Zellweger

Lead Engineer Data Science & AI 

"Artificial Intelligence (AI) is on everyone's lips these days. With state-of-the-art software engineering combined with our many years of consulting experience, our data science & AI team develops innovative solutions."

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