Unified Retail Operations Platform for Automated Inventory and Pricing

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Solution Overview

Problem

Retailers with large product inventories and fluctuating prices face challenges in accurately managing inventory and pricing due to the inefficiencies of independent systems that require manual manipulation, leading to errors, resource wastage, and incomplete knowledge.

Innovation Solution

A digital operations platform that combines independent product monitoring systems using smart tags, visual recognition models, and IoT devices to automatically manage inventory and pricing, eliminating manual processes and providing a holistic view of product locations and pricing within stores.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual manipulation is used to manage inventory and pricing, then flexibility in handling individual products is maintained, but accuracy and productivity deteriorate due to human errors and time consumption

Engineering Contradiction:
Improveinventory management accuracyVSAvoidmanual processing speed
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The system enables self-service automation where the operations system automatically receives product data, assigns prices, generates instructions, and updates smart tags without requiring manual human intervention. The system serves itself by autonomously managing inventory and pricing operations, eliminating human errors while maintaining high processing speed through automated workflows.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical operations with automated electronic systems. The operations system uses electronic data processing, automated image processing, and electronic communication to substitute human manual manipulation, thereby improving both accuracy and productivity simultaneously through systematic automation.

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

2Reliability

If independent product monitoring systems are used, then specific product tracking is achieved, but system complexity and resource consumption increase due to multiple separate systems

Engineering Contradiction:
Improveproduct tracking accuracyVSAvoidnumber of independent systems
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent merges multiple independent product monitoring systems into a single unified operations system. This consolidated system integrates inventory tracking, pricing management, and product monitoring functions into one cohesive platform, reducing the number of separate systems while maintaining reliable product tracking through centralized data management and unified processing.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The operations system is designed as a universal multi-functional platform that performs multiple functions including product tracking, inventory management, pricing assignment, and automated monitoring. This single system replaces multiple specialized independent systems, reducing complexity while maintaining comprehensive product tracking capabilities through integrated multi-functionality.

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

3Loss of energy

If manual inventory management is used, then resource consumption is lower, but time loss and productivity deterioration occur due to manual processes

Engineering Contradiction:
Improvecomputing resource consumptionVSAvoidmanual processing time
Core Design Contradiction:
Loss of energyVSLoss of time

Solution Approach 1:

The operations system enables continuous automated processing of inventory and pricing operations without interruption. The system continuously receives product data, processes images, assigns prices, generates instructions, and updates smart tags in an unbroken workflow, eliminating the time losses associated with manual task switching and processing while optimizing resource utilization through sustained automated operation.

Inventive Principle:
Principle #20Continuity of useful action

Solution Approach 2:

The system performs preliminary automated actions by pre-processing product data, pre-generating pricing instructions, and pre-updating smart tags before actual inventory movements occur. This preliminary automated preparation reduces the time required for subsequent manual operations while computing resources are efficiently utilized during the pre-processing phase.

Inventive Principle:
Principle #10Preliminary action

4Loss of information

If independent systems are used for product monitoring, then specific functions are performed, but incomplete knowledge and decision-making quality deteriorate

Engineering Contradiction:
Improveholistic product knowledgeVSAvoiddecision-making efficiency
Core Design Contradiction:
Loss of informationVSProductivity

Solution Approach 1:

The operations system merges data from all product monitoring functions into a single comprehensive information repository. By consolidating inventory data, pricing information, product images, and tracking data into one unified system, complete holistic knowledge is achieved, enabling high-quality decision-making through full information availability without the fragmentation that plagues independent systems.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS11556891B2Operations system for combining independent product monitoring systems to automatically manage product inventory and product pricing and automate store processes
Publication Date: 2023.01.17 ACCENTURE GLOBAL SOLUTIONS LTD
  • US11556891B2 patent drawing
  • US11556891B2 patent drawing
  • US11556891B2 patent drawing

AI summary

In some implementations, a device may receive data identifying products and encoded data identifying smart tags of the products. The device may map the data and the encoded data to generate encoded product data. The device may receive encoded data provided by smart tags of products received by a store. The device may receive images of the products. The device may compare the encoded data and the encoded product data to identify a set of the products received by the store. The device may correlate the images with the set of the products. The device may process the correlated data to identify locations of the set of the products in the store. The device may generate an instruction to relocate a product to a new location and may provide the instruction to a device, associated with the store, to cause the product to be relocated to the new location.