Generative AI in Supply Chain

Read the Exclusive Article From MIT Tech Review Insights & Dataiku

Only 18% of supply chain operators say AI is actively driving decision-making or automation despite being embedded throughout their organization. GenAI offers an untapped resource in uncertain times.

MIT Tech Review Insights and Dataiku share survey data from more than 600 supply chain leaders, along with practical examples from industry leaders. Discover what makes GenAI different from traditional analytics and retrieval-augmented generation and LLMs can anticipate and prevent risks.

Trusted by 1 in 4 of the World's Top Companies.*
*Top 500 companies of the 2024 Forbes Global 2000, excluding China

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4 GenAI Pillars to Future‑Proof Your Supply Chain

Spot Risks Before They Snowball

GenAI can help surface emerging threats before they cause real disruption. One Dataiku customer uses LLMs to monitor risk across their supplier network in real time, flagging issues that could ripple into production delays or cash flow concerns.

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See Around the Next Corner

Most forecasting models fail when the future doesn’t mirror the past. GenAI can simulate entirely new “what-if” scenarios, even ones without historical precedent, giving teams a way to test strategies for the unpredictable.

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Respond With Speed and Precision

When disruption hits, GenAI accelerates response planning. On the Dataiku platform, teams can simulate the impact of changing tariffs or reroute sourcing priorities, all with optimized, transparent recommendations.

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Govern With Confidence

GenAI at scale doesn’t work without structure. Teams need to enforce controls on access and use while keeping the ecosystem open to new models and use cases.

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The Universal AI Platform™

Dataiku brings together structured workflows, governed access, and an open ecosystem, enabling teams to use GenAI to spot supplier risks, simulate disruptions, and recommend actions at scale.

Whether it’s optimizing tariff scenarios or highlighting key supplier concerns, Dataiku makes it easier to deploy GenAI where it counts: close to the business.

 

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