Managing Director & Senior Partner; Europe, Middle East, South America, and Africa Chair, BCG X
Olivier Bouffault is the Europe, Middle East, South America, and Africa regional chair for BCG X, Boston Consulting Group’s tech build and design unit.
Olivier leads AI- and analytics-driven transformations in operations (supply chain and manufacturing) and in the travel industry. In particular he has led several data-driven supply chain transformations in the consumer goods sector, across several categories. He also co-leads the KLM-BCG partnership for digital operations in airlines, designing and deploying AI-based solutions at multiple airlines around the globe.
When supply once again exceeds demand, as it surely will, statistical forecasts trained on constrained-demand data will no longer work. How then will companies accurately forecast the future?
To navigate demand volatility, airline network teams must be more flexible and increasingly bionic, using digital tools to make schedule modifications nearly up until the day of travel.
SNOW is a proprietary BCG tool that simplifies multi-echelon supply chain network design and optimization with a prebuilt Python-based optimization framework. Its simple GUI enables users to generate optimization results and business insights with only a few clicks. It offers unique practical features that enable users to model their supply chain networks in a more realistic way—and it’s customizable to client needs.
KLM is using state-of-the-art technology to solve one of the industry’s thorniest dilemmas: dealing with operational tradeoffs.
Blockchain could both improve airline performance and usher in a new era of cooperation, collaboration, and alignment within the industry.
Travel companies are rich in data and confront complexity daily—characteristics that play to AI’s strengths. But for AI to succeed, companies must do more than experiment.
Whether they generate it themselves or acquire it from external sources, the amount of data available to companies today is increasing exponentially. And companies that choose not to use that data to create value risk hastening their own obsolescence or, at the very least, losing competitive advantage.