Multi-dimensional Data Adjustment Propagation
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Solution Overview
Problem
Existing data management systems face challenges in accurately propagating adjustments across multiple channels in multi-dimensional data environments, particularly when customer transactions involve a mix of channels, leading to incorrect inventory and sales data if not properly compensated for.
Innovation Solution
The system dynamically adjusts inventory and sales data by propagating adjustments across channels, using a multi-dimensional data model that includes dimensions such as channels, products, and measures, allowing for cross-section data displays and user-configurable metrics to reflect realistic consumer behavior and mixed channel transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional data management systems are used to store multi-dimensional data across multiple channels, then data storage capability is maintained, but data accuracy deteriorates when customer transactions involve mixed channels
Solution Approach 1:
The patent segments the multi-dimensional data model into distinct dimensions (channel dimension, product dimension, measure dimension) and members within each dimension. This segmentation allows the system to track and propagate adjustments across different channel members independently, ensuring accurate attribution of transactions to specific channels even when mixed channels are involved.
Solution Approach 2:
The patent introduces an intermediary adjustment propagation mechanism that acts as a mediator between raw transaction data and the multi-dimensional data model. This intermediary process automatically calculates and propagates adjustments across channel members, ensuring that mixed channel transactions are correctly attributed without requiring manual intervention or system redesign.
2Adaptability or versatility
If sophisticated data storage and modeling techniques are implemented to handle complex multi-dimensional data, then data modeling capability is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal multi-dimensional data model that can handle various types of transactions (returns, fulfillments, mixed-channel orders) across multiple channels through a single unified framework. This universal model uses consistent dimensions and members that can accommodate different transaction types without requiring separate modeling approaches, thereby reducing overall system complexity despite the sophistication of the data handling capabilities.
3Measurement precision
If dynamic adjustment propagation is implemented across channel members, then inventory data accuracy is improved, but processing time increases
Solution Approach 1:
The patent establishes the multi-dimensional data model with predefined channel members, product members, and measure members before transactions occur. This preliminary setup allows the system to quickly propagate adjustments by simply mapping transactions to the pre-defined structure, rather than creating and validating the entire data model structure at the time of each transaction, thereby reducing processing time while maintaining accuracy.
Data Source
AI summary
Systems and methods are provided for propagating adjustment across channels of multi-dimensional data. Multi-dimensional data can be stored in a database, the multi-dimensional data including at least a channel dimension with a plurality of channel members and a product dimension with a plurality of product members. Return input including a first number and fulfilment input including a second number can be received about a first product member. A display can be dynamically generated for one or more cross-sections of data between the first product member and multiple of the channel members, wherein the first number and second number are propagated to intersections of the first product member and the multiple channel members by dynamically adjusting inventory data or sales data based on the first number and the second number.