Risk Detection in Supply Chain Management using AI
Use Case Description
We suggest an AI driven system that combines automation and advanced analytics to handle real-time emergencies and disasters like fires and earthquakes in supply chain management. While predictive analytics predicts future disruptions, this framework uses AI models trained on real-time data from twitter for geographic alerts, to identify and categorize threats from user-generated content. In order to reduce downtime and mitigate hazards quickly. Proactive decision-making is made possible by a consolidated dashboard that offers real-time visibility and actionable insights.
AS-IS WORKFLOW, TO-BE WORKFLOW
UiPath Hyperhack 2024_SS_AI_Champs.7z
Other information about the use case
Industry categories for this use case: Customer Service, Logistic
Skill level required: Advanced
UiPath Products that were used: UiPath Studio, UiPath Orchestrator, UiPath Process Mining
Other applications that were used: MYSQL, AZURE, Third party AI Models
Other resources: I have added the related docs.
What is the top ROI driver for this use case?: Accelerate growth and operational efficiency
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hentsou_mamy