18055809. COMPUTER-BASED SUPPLY CHAIN OPTIMIZATION simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)
Contents
- 1 COMPUTER-BASED SUPPLY CHAIN OPTIMIZATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 COMPUTER-BASED SUPPLY CHAIN OPTIMIZATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
COMPUTER-BASED SUPPLY CHAIN OPTIMIZATION
Organization Name
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor(s)
Shikhar Kwatra of San Jose CA (US)
Jeremy R. Fox of Georgetown TX (US)
Raghuveer Prasad Nagar of Kota (IN)
Pradeep Kumar Katherapally of Yemmiganur (IN)
COMPUTER-BASED SUPPLY CHAIN OPTIMIZATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18055809 titled 'COMPUTER-BASED SUPPLY CHAIN OPTIMIZATION
Simplified Explanation
The present invention relates to a system and method for improving computer-based supply chain management by predicting future orders and consolidating them for more efficient processing.
- Prediction of future orders: The system receives a first order from a user and predicts, with a certain level of confidence, that a second order will be received within a specified timeframe.
- Delayed shipment and order consolidation: Based on the prediction of the second order, the system delays the shipment of the first order and consolidates it with the second order once it is received within the predefined timeframe.
Potential Applications
This technology could be applied in various industries such as e-commerce, retail, and manufacturing to optimize inventory management and order processing.
Problems Solved
1. Inefficient order processing: By predicting future orders and consolidating them, the system streamlines the supply chain process and reduces the number of individual shipments. 2. Inventory management: The system helps in better managing inventory levels by anticipating future orders and adjusting shipment schedules accordingly.
Benefits
1. Cost savings: By consolidating orders, companies can save on shipping costs and reduce the number of individual shipments. 2. Improved efficiency: The system helps in optimizing supply chain operations and reducing processing times for orders.
Potential Commercial Applications
"Optimizing Supply Chain Management for Cost Efficiency and Improved Operations"
Possible Prior Art
One possible prior art could be systems that use predictive analytics for inventory management and order processing in supply chain management.
Unanswered Questions
== How does the system determine the level of confidence in predicting the second order? The system likely uses historical data, user behavior patterns, and other factors to calculate the probability of receiving the second order within the predefined timeframe.
== What happens if the second order is not received within the specified timeframe? If the second order is not received within the predefined timeframe, the system may proceed with shipping the first order independently or take alternative actions based on predefined rules or algorithms.
Original Abstract Submitted
In an approach to improve computer-based supply chain management embodiments of the present invention receive a first order associated with a user, and determine, within predetermine range of confidence, that a second order associated with the user will be received within a predefined timeframe. Additionally, embodiments delay the shipment of the first order, for a predetermined amount of time, based on the determination the second order will be received and execute a hold command that withholds the first order from a distribution center for a predetermined amount of time. Further, responsive to receiving the second order within the predefined timeframe, embodiments consolidate the first order and second order into a consolidated order.
