Blockchain Supply Chain Visibility for Inventory Prediction

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Solution Overview

Problem

Current supply chain management in manufacturing industries faces challenges such as lack of visibility of timely data between entities, disparate forecasting methods, higher safety stock levels, and financial losses due to transaction non-transparency, leading to inaccurate inventory predictions and increased operating costs.

Innovation Solution

A blockchain-based supply chain management system that provides controlled real-time visibility and trusted data transactions between entities, utilizing machine learning for supplier ranking and smart contracts to validate invoices and material movements, ensuring accurate inventory management and reducing the need for excessive safety stock.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If buyers increase inventory procurement to avoid shortages, then supply reliability is improved, but operating costs increase due to higher daily stock indicator (DSI)

Engineering Contradiction:
Improvesupply reliabilityVSAvoidoperating cost
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The blockchain system implements real-time feedback loops where inventory data from suppliers, logistics centers, and manufacturers is continuously updated and shared across the network. This enables buyers to monitor actual inventory levels dynamically and adjust procurement decisions based on accurate, up-to-date information rather than relying on outdated forecasts, thereby maintaining supply reliability while optimizing inventory levels and reducing DSI

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The blockchain platform acts as a trusted intermediary that establishes transparent and immutable records of inventory transactions across all supply chain entities. By providing a neutral, shared ledger that all parties can verify, the system eliminates information asymmetry and builds trust, allowing buyers to procure optimal inventory levels without excessive safety stock while ensuring supply continuity

Inventive Principle:
Principle #24Intermediary (Mediator)

2Loss of energy

If buyers reduce inventory levels to minimize DSI, then operating costs are reduced, but risk of material shortages increases due to inaccurate inventory visibility

Engineering Contradiction:
Improveoperating costVSAvoidsupply continuity
Core Design Contradiction:
Loss of energyVSReliability

Solution Approach 1:

The system implements continuous feedback mechanisms where inventory status is automatically updated on the blockchain whenever materials move between suppliers, logistics centers, and manufacturers. This real-time visibility enables buyers to maintain lower inventory levels with confidence, knowing they can immediately detect and respond to any potential shortages through the transparent, shared ledger

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The blockchain system enables preliminary action by providing advance visibility into inventory levels and pipeline status across the supply chain. Buyers can proactively identify potential shortages before they occur and take corrective actions such as expediting orders or reallocating inventory, thereby maintaining supply continuity with reduced safety stock levels

Inventive Principle:
Principle #10Preliminary action

3Device complexity

If traditional forecasting methods are used without real-time data, then prediction process is simple, but inventory prediction accuracy is low

Engineering Contradiction:
Improveforecasting system complexityVSAvoidinventory prediction accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The blockchain system enables continuous data collection and updating across all supply chain entities, transforming the forecasting process from periodic batch updates to a continuous stream of real-time inventory information. This continuous action provides forecasters with constantly refreshed data, significantly improving prediction accuracy while the standardized blockchain protocol keeps system complexity manageable

Inventive Principle:
Principle #20Continuity of useful action

Solution Approach 2:

The blockchain platform serves multiple functions simultaneously: it acts as a data collection mechanism, a verification system, a sharing platform, and a foundation for analytics. This multi-functionality consolidates what would otherwise require separate complex systems into a single unified infrastructure, improving forecast accuracy without proportionally increasing overall system complexity

Inventive Principle:
Principle #6Universality (Multi-functionality)

4Ease of manufacture

If asynchronous B2B communication is used between supply chain entities, then system implementation is straightforward, but inventory data reliability is poor

Engineering Contradiction:
Improvesystem implementation easeVSAvoidinventory data reliability
Core Design Contradiction:
Ease of manufactureVSReliability

Solution Approach 1:

The system replaces traditional mechanical communication methods (emails, spreadsheets, phone calls) with a digital blockchain-based communication infrastructure. This substitution maintains ease of implementation by using standardized protocols that can be integrated into existing systems, while simultaneously providing immutable, time-stamped records that dramatically improve inventory data reliability and traceability

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12124982B2Supply chain management using blockchain and machine learning functionalities
Publication Date: 2024.10.22 DELL PROD LP
  • US12124982B2 patent drawing
  • US12124982B2 patent drawing
  • US12124982B2 patent drawing

AI summary

An initial transaction is generated representing a forecasted demand for material needed to manufacture equipment via a supply chain. The initial transaction is added to a blockchain for access by entities in the supply chain comprising at least a subset of one or more supply entities, one or more material distribution entities, and one or more manufacturing entities. In one or more examples, the steps may be performed by an OEM blockchain node that accesses any transactions added by the various entities on the blockchain node and limits access to transactions on the blockchain by the various entities. Further, the initial transaction may be a main transaction and a transaction representing a commitment by one of the supply entities may be a sub-transaction of the main transaction, and the sub-transaction is closed in the blockchain upon the request for payment for the committed material or payment of the request.