Top supply chain and logistics organizations as well as companies with a supply chain or procurement department use Dataiku — the world’s leading data science, machine learning, and AI platform — for more granular and accurate management. The bottom line is a more efficient supply chain that delivers major cost savings and increased profits.
Machine learning-based demand forecasting with Dataiku allows teams to integrate external data (weather, seasonal stores, holidays, etc.) and assemble models that have different time horizons and granularity levels for better accuracy. For example, Dataiku customer JTI has been able to reduce the number of unloads by up to 15% and save 25% on carton movements, without any impact on stock outs at the truck level.
UNCOVER HOW JTI USES DATAIKUOrganizations use Dataiku to implement robust, machine learning-based predictive maintenance to predict component failure and address any issues before they impact other transportation devices in the fleet. Instead of solely taking historical data and performing static analysis, Dataiku allows for up-to-the-minute analysis to predict future asset performance and ensure real-time feedback is acted upon for proactive maintenance and intervention.
SEE DATAIKU IN ACTION FOR PREDICTIVE MAINTENANCEThe supply route that might offer the fastest possible delivery may also include a higher risk of disruption due to political instability, crime, or labor unrest — AI systems powered by Dataiku provide companies a clearer vision of the risks involved with supply chain decisions, allowing them to minimize the chance of disruptions. Companies are increasingly turning to Dataiku as the go-to platform for developing predictive analytics systems that help them avoid issues that will cost money and time.
LEARN MORE ABOUT DATAIKUThe sourcing and production processes involve a lot of physical goods, and Dataiku can help with smarter procurement processes, such as the ability to analyze disparate data sources to better analyze costs and suppliers to avoid supply chain disruption, product fraud, etc. Additionally, natural language processing (NLP) in Dataiku can help with contract analysis and invoice matching to help teams get a global view on spending in order to optimize negotiations and the bottom line.
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“[Dataiku] helps throughout the whole analytics life cycle, empowers users and enables them to focus on delivering value.”
— Data Analytics Manager in the Transportation Industry | October 8, 2020
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