18078363. TEMPORAL SUPPLY-RELATED FORECASTING USING ARTIFICIAL INTELLIGENCE TECHNIQUES simplified abstract (Dell Products L.P.)
Contents
TEMPORAL SUPPLY-RELATED FORECASTING USING ARTIFICIAL INTELLIGENCE TECHNIQUES
Organization Name
Inventor(s)
Dhilip S. Kumar of Bangalore (IN)
Sujit Kumar Sahoo of Bangalore (IN)
Nikhil Pularru of New Delhi (IN)
Aravinda Rajagopal Kotikanyadanam of Bangalore (IN)
Rajeshwari Kalyani of Ranchi (IN)
TEMPORAL SUPPLY-RELATED FORECASTING USING ARTIFICIAL INTELLIGENCE TECHNIQUES - A simplified explanation of the abstract
This abstract first appeared for US patent application 18078363 titled 'TEMPORAL SUPPLY-RELATED FORECASTING USING ARTIFICIAL INTELLIGENCE TECHNIQUES
The patent application describes methods, apparatus, and processor-readable storage media for temporal supply-related forecasting using artificial intelligence techniques.
- Determining forecasts regarding the supply of items by processing supply-related data with artificial intelligence techniques.
- Generating temporal recommendations based on the forecasts for orders of items.
- Performing automated actions based on the temporal recommendations.
- Potential Applications:**
This technology can be applied in supply chain management, inventory optimization, and demand forecasting in various industries.
- Problems Solved:**
This technology addresses the challenges of accurately predicting supply needs and optimizing inventory levels in real-time.
- Benefits:**
The benefits of this technology include improved supply chain efficiency, reduced inventory costs, and enhanced decision-making based on accurate forecasts.
- Commercial Applications:**
Title: "AI-Driven Supply Chain Forecasting Technology for Enhanced Efficiency" This technology can be utilized by retail companies, manufacturing firms, and logistics providers to streamline operations, reduce waste, and improve customer satisfaction.
- Prior Art:**
Researchers can explore existing literature on artificial intelligence in supply chain management and forecasting to understand the background of this technology.
- Frequently Updated Research:**
Stay informed about the latest advancements in artificial intelligence applications in supply chain management and forecasting to enhance the effectiveness of this technology.
- Questions about AI-Driven Supply Chain Forecasting Technology:**
1. How does this technology improve supply chain efficiency? 2. What are the key advantages of using artificial intelligence for supply-related forecasting?
Original Abstract Submitted
Methods, apparatus, and processor-readable storage media for temporal supply-related forecasting using artificial intelligence techniques are provided herein. An example computer-implemented method includes determining one or more forecasts pertaining to supply of at least one item by processing supply-related data using one or more artificial intelligence techniques; generating, based at least in part on the one or more forecasts, one or more temporal recommendations associated with one or more orders of at least one a portion of the at least one item; and performing one or more automated actions based at least in part on the one or more temporal recommendations.
