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Historically highly profitable, the sector is now undergoing accelerated change in a context of economic pressure, increasing regulatory requirements, price/service competitivity on OTC products, deregulation and the rationalization of public health devices.


Facing these evolutions, pharmaceutical laboratories must continually improve service to their customers through the development/launch of new products or their improvement, and the development of service to the patient and the prescribers, taking advantage of digital capabilities. 

Laboratories must also continue to look for scale effects to reduce increasing costs of R&D through industrial or distribution synergies. Acquisitions must be integrated effectively, particularly concerning organizational structure, processes and IT. 

Companies need to be increasingly flexible whilst controlling costs; adapting the distribution strategy, improving demand steering and the collaboration model through controlling the balance between demand, inventory and industrial capacity, evolving the industrial model (decoupling points, delayed differentiation, campaign size), stock policy optimization, production cycle reduction and the management of change controls.

How we can help

We help life sciences companies transform, from operations assessment to the implementation of improvement initiatives throughout the supply chain.

Operations strategy

  • governance and supply chain and operations organisation
  • make or buy and industrial footprint
  • reduction of catalogue complexity
  • carve out/post-merger integration

Operations digitalisation

  • real-time traceability via IoT (flows, transportation, parallel markets, temperature monitoring etc.)
  • demand forecasting
  • manufacturing process control
  • predictive maintenance development
  • APS system deployment

Economic performance and cost control

  • (re)design to value
  • efficiency of purchases/should-cost of packaging
  • industrial competitiveness
  • inventory reduction
  • SG&A reduction
  • cost to serve and logistics routes optimisation
  • governance and performance steering


  • NPI
  • planning chain synchronisation and execution: sell > replenish > produce > order
  • reactivity and industrial flexibility (MTO/MTS, production campaign size, security distribution and demand signal stabilisation)


  • change control management
  • serialisation model choice and time to market control
  • release process
  • control of the master data


  • supply chain steering and APS deployment
  • interaction with the CDMOs: supplier development
  • collaborative planning with manufacturers
  • risk management of supply sources