Business Lines

Supply & Operations

Innovation in Supply & Operations to meet customer expectations

New technologies such as data science, blockchain, machine learning, robotics or AI are used to improve performance. The goal is to integrate these innovations into processes in order to improve collaboration with different partners and suppliers, to best serve the customer, while respecting CSR standards, which are increasingly important in the sector.

One of the main challenges for the Supply and Operations functions is risk management (operational or financial risks). This can be an unexpected spike in order volume or a failure of the information system. To deal with these risks, sales forecasting tools allow, for example, to better manage inventory and delivery times. Performance analysis tools easily identify areas where performance needs to be improved to make the most of different opportunities and react quickly to market changes. In addition, to reduce costs and improve productivity, more and more processes are being automated.

A good Supply Chain management must allow to offer a quality service respecting the customer's expectations. Succeed in deploying a digitalized Supply Chain to gain agility and remain competitive while improving margins.

Use cases

  • Cloud Acceleration
  • Data Platform
  • Cloud migration

A world data platform to optimize data processing

See The Reference
  • Data Driven
  • Data Governance & Management
  • Cloud migration

Which strategic dashboards for a successful service offer

  • Data Driven
  • Data Visualization & Analytics

Low Code, the dematerializing asset for business processes