Sensor-Based Replenishment System for Dynamic Inventory Control

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing subscription services fail to dynamically adjust to varying user consumption patterns, often resulting in stockpiling or shortages of items due to static delivery schedules and inefficient user interface interactions, which can lead to overstocking or understocking.

Innovation Solution

A sensor-based automatic replenishment system that uses weight, distance, or property measurements to track item consumption and communicate data to service provider computers for dynamic reordering, ensuring timely delivery and optimizing inventory based on consumption patterns.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If static subscription and delivery services are used, then delivery schedule is simple to manage, but the system cannot adapt to varied user consumption patterns resulting in stockpiling or shortages

Engineering Contradiction:
Improveadaptability to consumption patternsVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system enables automatic replenishment where the sensor device autonomously monitors item consumption and triggers reordering without user intervention. The processor automatically determines when to reorder based on sensor data, eliminating the need for users to manually track consumption or interact with interfaces to modify subscriptions.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system implements continuous feedback loops where sensors monitor item levels and consumption patterns, feed this data back to the processor, which then adjusts delivery schedules dynamically. This closed-loop system adapts to varying consumption rates by constantly monitoring and responding to actual usage data.

Inventive Principle:
Principle #23Feedback

2Ease of operation

If users manually interact with interfaces to modify subscriptions, then delivery can be adjusted, but the process is time consuming and confusing

Engineering Contradiction:
Improveease of subscription modificationVSAvoidtime for interface interaction
Core Design Contradiction:
Ease of operationVSLoss of time

Solution Approach 1:

The system eliminates manual interface interactions by implementing automatic replenishment. Sensors continuously monitor item consumption and automatically trigger reordering processes without requiring users to access interfaces, making the system both easier to operate and saving user time.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The sensor device acts as an intermediary between the user and the subscription service. Instead of users directly interacting with complex interfaces, the sensor automatically communicates consumption data and triggers reordering, simplifying the user experience while maintaining delivery adjustment capabilities.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Reliability

If delivery schedules are adjusted frequently to match consumption patterns, then item availability is optimized, but user convenience decreases due to frequent notifications and modifications

Engineering Contradiction:
Improveitem availabilityVSAvoiduser convenience
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system maintains high item availability while preserving user convenience by implementing automatic replenishment. The sensor and processor work together to monitor consumption and execute reordering without user involvement, eliminating the need for users to respond to frequent notifications while ensuring items are available when needed.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system performs preliminary actions by proactively monitoring consumption patterns and initiating reorders before items are depleted. This anticipatory approach ensures item availability is maintained without requiring reactive user intervention, thus preserving convenience while ensuring reliability.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS10846780B2Order quantity and product recommendations based on sensor data
Publication Date: 2020.11.24 AMAZON TECH INC
  • US10846780B2 patent drawing
  • US10846780B2 patent drawing
  • US10846780B2 patent drawing

AI summary

Techniques for using sensor data from an auto replenishment device (ARD) to generate recommendations for ordering other items not associated with an ARD, updating a quantity of an already ordered item, or updating a time period associated with delivery of the ordered items. In embodiments, order history information associated with a user profile for a plurality of items may be maintained. Consumption data from a sensor of an ARD may be received that indicates a current amount of the item. A subset of items may be determined based at least in part on the consumption data and the order history information. In accordance with at least one embodiment, instructions for delivering the subset of items to a location associated with the user profile may be executed.