Invoice Reconciliation Across Providers and Systems
1
The Challenge
Ensuring accurate reconciliation of invoices from multiple providers and systems to avoid overbilling or underbilling.
2
Limitations of Traditional RPA
Static rules and templates break easily when systems or formats change, requiring constant maintenance and manual oversight.
3
How GoodGist Agentic AI Solves It
Dynamically adjusts to changing end systems and invoice formats, ensuring accurate and consistent reconciliation without the need for ongoing maintenance.
Predicting demand accurately to align supply chain operations with market needs and planning the optimal route for the delivery.
2
Limitations of Traditional RPA
Lacks predictive analytics capabilities and relies on historical data alone. Also it is difficult to create rules for dynamic optimization of routes based on the unforeseen events.
3
How GoodGist Agentic AI Solves It
Leverages predictive AI models to forecast demand trends and adjust supply chain operations proactively. It can also factor in various real-time data like weather, traffic, vehicle availability and other information to plan the optimal route.