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Dataikuを活用したサプライチェーンと物流におけるAIの活用

トップのサプライチェーンおよび物流企業、またはサプライチェーンや調達部門を持つ企業は、日常的なAIのためのプラットフォームであるDataikuを使用して、より詳細で正確な管理を実現しています。その結果として、効率的なサプライチェーンが実現し、大きなコスト削減と利益増加をもたらしています。

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サプライチェーン&物流におけるAI活用とユースケース

Demand Forecasting

Scale a machine learning- and AI-based approach to trend prediction with a central environment for smarter and more holistic decisions across teams. Say goodbye to guesswork and hello to data-driven sourcing, production planning, inventory management, pricing, marketing, and more.

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Predictive Maintenance

Reduce unplanned downtime & optimize maintenance plans for your equipment.

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Market Basket Analysis

Extract key business patterns from your sales: optimize product assortment and pave the road to recommendation.

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Inventory Allocation Optimization With Grid Dynamics

Optimize stock levels across locations, improve fulfillment SLAs, and minimize order shipping costs.

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Delivery Dock Optimization

Leverage tracking data of incoming trucks to manage their allocation to your warehouse’s docks throughout the day and optimize yard management efficiency.

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LLM-Enhanced Demand Forecast

Optimize your supply chain with dynamic, Generative AI-driven recommendations based on demand forecast predictions.

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Dataiku has been a fantastic tool for data science and machine learning. We extensively searched for a product that can enable citizen data scientists and seasoned developers equally, and Dataiku stood out in this regard.

Data Science Manager in Manufacturing