Cross-Entity Channel Integration for Real-Time Supplier Insights
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Solution Overview
Problem
Suppliers face significant challenges in obtaining timely and comprehensive retail sales data, leading to inefficiencies in optimizing promotion campaigns and resource investments across in-store and online channels, exacerbated by the COVID-19 pandemic which highlighted the need for real-time data insights.
Innovation Solution
A cross-entity channel integration system that processes transaction data from various channels to provide real-time insights and trends to suppliers, enabling them to adjust their marketing and inventory strategies dynamically, by categorizing and correlating data across entities, channels, geographical locations, and time, and integrating with internal systems for real-time decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If suppliers obtain sales data from retailers through traditional methods, then they can access sales information, but there is a significant time lag (4-6 weeks) between data generation and data delivery
Solution Approach 1:
The patent introduces a cloud-based service as an intermediary between retailers and suppliers. This service automatically collects, processes, and delivers sales data, eliminating the manual data request process that caused delays. The intermediary enables real-time or near-real-time data transmission while maintaining data accuracy and reliability.
Solution Approach 2:
The system performs preliminary actions by continuously collecting and preprocessing sales data in advance before suppliers need it. Data is aggregated, validated, and prepared in the cloud service beforehand, so when suppliers request data, it is already processed and ready for immediate delivery, eliminating the 4-6 week delay.
2Adaptability or versatility
If suppliers invest resources in marketing through online and in-store partners, then they can promote merchandise, but there is no effective mechanism to measure promoted merchandise against corresponding investments in real-time
Solution Approach 1:
The patent implements a feedback mechanism that continuously monitors sales data and compares it against promotion investments. The cloud service analyzes the relationship between marketing spend and sales performance, providing real-time feedback to suppliers about which promotions are effective. This enables suppliers to adjust their marketing strategies based on actual performance data rather than waiting for periodic reports.
3Loss of information
If suppliers receive sales data without additional information, then they get basic sales figures, but they lack visibility into product inventories and promotion execution details
Solution Approach 1:
The cloud-based service performs multiple functions within a single system: it collects sales data, tracks inventory levels, monitors promotion execution, and analyzes performance metrics. This multi-functional approach consolidates what would otherwise require separate systems for each data type, providing comprehensive information to suppliers without proportionally increasing system complexity.
Data Source
AI summary
A cross-entity and cross-retailer platform is provided that captures transaction data (and/or browser history data associated with online browser-based transactions), indexes, and stores the data in a cloud-accessible data store. A cloud service is provided that custom processes retailer and entity-defined workflows based on purchase transactions using the data store. The service discovers and updates trends and patterns associated with item sales for a given retailer or for a given entity across channels associated with in-store and online item sales. The trends and patterns are dynamically reported to the corresponding entity or the corresponding retailer. The entities may comprise manufacturers of an item, a supplier of the item, a distributor of the item, and a Consumer Packaging Goods (CPG) company of the item.