• Identifying high-impact use cases for AI in maintenance, production, and quality control
• Building custom software tools to connect legacy systems and streamline operations
• Turning raw data into real-time insights with machine learning and predictive analytics
• Bridging IT and OT to enable seamless technology deployment on the shop floor
• Creating an AI adoption roadmap tailored to your plant’s size, maturity, and goals

• Transforming daily operations through structured tiered management systems
• Standardizing frontline issue escalation to boost accountability and speed
• Leveraging real-time data for continuous improvement and visibility
• Aligning cross-functional teams with digital routines and KPIs
• Enabling plant leaders with actionable insights to drive engagement
• Scaling best practices across sites with integrated digital workflows

• Digitizing part drawings to eliminate version confusion and manual errors in the sourcing process
• Automating RFQs using intelligent matching between drawings and supplier capabilities
• Reducing lead time and cost through streamlined procurement and quoting workflows
• Enabling engineering-sourcing collaboration with real-time visibility and shared data platforms
• Leveraging data analytics to gain insights into cost drivers, supplier performance, and sourcing strategy

Linking demand, supply, and inventory plans across business units and time frames
Improving visibility and accountability through integrated roles, KPIs, and governance structures
Managing constraints and risks with scenario modeling and proactive planning cycles
Balancing cost and service with aligned decision-making between commercial and operations teams
Embedding planning excellence into culture, processes, and digital capabilities for long-term gains

• Utilizing data mining to uncover process inefficiencies and drive strategic improvements
• Optimizing warehouse operations for speed, accuracy, and reduced operational costs
• Applying Six Sigma to enhance quality, consistency, and throughput across facilities
• Building data-driven leadership teams focused on accountability and continuous improvement
• Integrating analytics into decision-making from floor-level operations to executive reporting
• Aligning KPIs and performance dashboards with plant-level and enterprise-wide priorities

• Driving productivity with energy-efficient systems and data-informed resource management
• Applying lean thinking to optimize flow, reduce waste, and increase responsiveness
• Fostering a continuous improvement culture across manufacturing teams and shifts
• Enabling frontline teams with real-time insights and performance ownership
• Using Scrum and agile practices to enhance team collaboration and delivery
• Aligning facility goals with enterprise metrics to track progress and drive results

• Driving enterprise-wide transformation through proactive, structured change management initiatives
• Aligning cross-functional teams to accelerate organizational buy-in and operational adoption
• Creating resilient supply chains amid global uncertainty and structural industry shifts
• Strengthening leadership accountability to support sustained transformation outcomes
• Leveraging digital tools to streamline transitions and reduce transformation cycle time
• Embedding a culture of adaptability to improve responsiveness across global operations

• Advancing sustainable packaging to drive performance and environmental impact
• Deploying robotics, AGVs, and cobots across moulding operations
• Reducing operator dependency through smart automation investments
• Aligning innovation with long-term manufacturing strategy
• Empowering teams to adapt to new technologies and roles

• Delivering easy-to-learn solutions that reduce training time for technicians Speeding up installations with streamlined, intuitive product design
• Enhancing property value through integrated smart security and automation
• Supporting dealers with tools that drive operational efficiency and growth
• Enabling remote monitoring and management for improved end-user experience
• Differentiating offerings to stay competitive in a rapidly evolving market

• Building accurate, defensible cost models for projects, products, and production processes
• Quantifying uncertainty and risk using probabilistic analysis and simulation tools
• Improving cross-functional planning with transparent cost, schedule, and resource data
• Shortening planning cycles by automating estimation and reducing manual inputs
• Using data-driven insights to support smarter capital investment and program decisions

• Leveraging AI and IoT to enable real-time, remote machine health diagnostics
• Detecting mechanical faults early to prevent unplanned downtime and costly repairs
• Extending asset life by optimizing maintenance strategies with predictive analytics
• Reducing manual inspections through automated condition-based monitoring
• Scaling predictive maintenance across global operations with a plug-and-play approach
• Empowering maintenance teams with actionable insights to improve reliability

• Automating scheduling to align labor with demand in real time
• Reducing compliance risks with built-in labor laws and union rule adherence
• Empowering frontline managers with tools to make data-driven staffing decisions
• Enhancing employee engagement through self-service scheduling capabilities
• Eliminating manual processes that lead to errors, fatigue, and inefficiencies
• Integrating workforce data with existing ERP and HR systems for seamless execution

• Aligning global teams through integrated business and supply planning
• Strengthening operations with cross-functional collaboration and visibility
• Navigating complexity with proactive risk and scenario management
• Developing leadership capabilities to unify international manufacturing efforts
• Case study: Enhancing supply resilience across Merck’s global network

• Identifying and eliminating bottlenecks using structured problem-solving and process mapping
• Standardizing best practices across units to reduce variation and accelerate efficiency
• Leveraging data to drive informed decision-making and real-time operational adjustments
• Improving collaboration between engineering, operations, and leadership for smoother execution
• Embedding continuous improvement into daily workflows to reduce waste and cost
• Maximizing throughput and uptime without sacrificing safety, quality, or employee engagement

• Fostering a culture of inclusion to fuel innovation and growth
• Building leadership pipelines through mentorship and intentional development
• Equipping global teams with digital and operational capabilities
• Aligning talent strategy with long-term transformation goals

• Developing engineering solutions that enhance reliability, scalability, and performance in manufacturing environments
• Modernizing production systems through the adoption of advanced materials and automation technologies
• Optimizing facility design and operations to support efficiency, flexibility, and speed-to-market
• Strengthening collaboration between engineering, operations, and digital teams to accelerate continuous improvement
• Case study: How Bayer is advancing engineering capabilities to drive performance across global manufacturing sites