We offer Intelligent Operations 360° solutions to private and public sector organisations to maximise the performance of their service operations and product supply chains.

Typically our involvement starts from the diagnostics phase but you can engage us for the solution development, change management, or sustaining the improvements. We can act as the "architect" of design, or provide a holistic solution, including all relevant aspects of people, process, technology and tools.

We leverage the established methods and tools (e.g. service design, lean, continuous improvement, optimization, and simulation) and are not afraid to innovate new applications (e.g. use of robotic process automation and machine learning, or new forms of human-computer interaction for your operations). Our typical engagement with customers happens through Projects, Sprints or Coachings and Trainings.



Diagnose Sprints (1-2 days)

  • Cost analysis

  • Inventory analysis

  • Process performance

  • Planning performance

  • Data quality

Design Sprints (1-5 days)

  • Service design

  • Kaizen event

  • Management system and governance model

  • Data model

  • Performance dashboard

  • Planning processes 

Trainings (0.5 - 1 day or fully customized)

  • Build your operations brain

  • Get results through world class processes

  • Optimizing service operations or supply chains

  • Finding and developing best talent for operations 

  • Lead with your data


  • Digital operations and supply chains including strategy, analytics, and dashboards.

  • Network optimization (e.g. supplier selection, factory and inventory locations, distribution channels, reverse supply chains, and tax & duty modeling)

  • M&A advisory and program management - both integration and separation.

  • Design of service and product processes including demand planning, procurement, real-time order confirmation, customer service, customer care, product lifecycle management, Integrated Business Planning, and Sales and Operations Planning (S&OP).

  • Advanced modeling with optimisation, simulation, machine learning, and statistical methods (demand forecasting, campaign pricing, inventory management, healthcare operations, lead time management, service design and supplier/vendor management)  

  • Cost analyses such as total landed cost, product cost, spend, account receivables and working capital optimization. 

  • Management system (governance model, reporting, performance management, risk management, process architecture)

  • Tool design & selection including data models and master data management 

  • Cultural change towards continuous improvement (lean operations, customer-centric service design and business processes)

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