Risk Detection in Supply Chain Management using AI
Use Case Description
We propose an AI-powered system leveraging automation and advanced analytics to manage real-time emergencies like fires and earthquakes in supply chain management. Predictive analytics forecasts disruptions, while AI models trained on real-time Twitter data provide geographic alerts, identifying and categorizing threats from user content. This enables swift hazard mitigation and reduced downtime. A centralized dashboard ensures real-time visibility and actionable insights, empowering proactive decision-making to safeguard operations and enhance resilience in critical situations.
AS-IS WORKFLOW, TO-BE WORKFLOW
UiPath Hyperhack 2024_SS_AI_Champs.pdf
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: Its listed in pdf.
What is the top ROI driver for this use case?: Accelerate growth and operational efficiency
fvalencia
hentsou_mamy