Olivier Bouffault is the Western Europe and South America leader for GAMMA, BCG’s analytics and AI unit. He is a member of GAMMA’s global Operating Committee.

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.

AREAS OF EXPERTISE

EDUCATION

  • Master of sciences degree, finance, HEC Paris

Publications and Videos

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E2E Planning: What comes after the Bottleneck Economy?

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?
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Why Airlines’ Network Planning Must Be Bionic

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.

Introducing SNOW (Supply-Chain Network Optimization Workbench)

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.

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How Digital Operations Put The World’s Oldest Airline In The Lead

KLM is using state-of-the-art technology to solve one of the industry’s thorniest dilemmas: dealing with operational tradeoffs.
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What Could Blockchain Do for Airlines?

Blockchain could both improve airline performance and usher in a new era of cooperation, collaboration, and alignment within the industry.
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In Travel, It’s Time to Push AI Beyond the Pilot Phase

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.
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Creating Value in Private Equity with Advanced Data and Analytics

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.
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AI in the Factory of the Future

Tomorrow’s end-to-end manufacturing AI will think alongside—and sometimes ahead of—human coworkers. But ambitions for the technology far outstrip today’s reality.
Deep Expertise, Broad Experience