Adaptive Subscription Scheduling via Predictive Consumption Analytics

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Solution Overview

Problem

Conventional subscription-based ordering systems are inflexible and prone to mismatches between delivery schedules and consumption rates, leading to over- or under-delivery of products, causing frustration for consumers and inefficiencies for retailers due to manual reordering processes and lack of adaptive scheduling.

Innovation Solution

An adaptive distribution platform that uses predictive analytics and electronic messaging to automatically determine the optimal time for replenishing items based on usage patterns, allowing for timely reordering and reducing friction in the reordering process by sending reminders and facilitating transactions through a user-friendly interface.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If conventional subscription-based ordering systems are used, then automated periodic delivery is achieved, but mismatches between delivery schedules and consumption rates occur leading to over- or under-delivery

Engineering Contradiction:

Improveautomated periodic deliveryVSAvoidadaptability to consumption rates

Core Design Contradiction:

Extent of automationVSAdaptability or versatility

Solution Approach 1:

The patent implements dynamic scheduling that adapts delivery periods based on actual consumption rates. The system monitors usage patterns and automatically adjusts the timing and quantity of subsequent deliveries, transforming the static fixed-period model into a dynamic responsive system that aligns delivery with actual consumption needs.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system incorporates feedback mechanisms by tracking actual consumption rates and using this information to adjust future delivery schedules. The platform monitors usage data, compares it against predicted consumption, and modifies subsequent deliveries accordingly, creating a closed-loop system that continuously optimizes delivery timing and quantity.

Inventive Principle:

Principle #23Feedback

2Ease of operation

If fixed periodic delivery schedules are implemented, then simple automated ordering is achieved, but manual reordering processes are required when consumption rates vary

Engineering Contradiction:

Improvesimple automated orderingVSAvoidtime for manual reordering

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system enables self-service by automatically detecting when inventory levels are running low based on monitored consumption rates and initiating reorder processes without user intervention. The platform autonomously manages the entire reordering workflow, from detection to execution, eliminating the need for manual user action while maintaining simplicity.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary actions by predicting future inventory depletion based on current consumption rates and placing reorder requests before actual stockout occurs. This proactive approach ensures continuous supply without requiring users to manually monitor or initiate reordering actions.

Inventive Principle:

Principle #10Preliminary action

3Adaptability or versatility

If shopping cart interfaces are used for subscription ordering, then product selection is achieved, but friction in the reordering process increases causing delays or skipped purchases

Engineering Contradiction:

Improveproduct selection capabilityVSAvoidreordering process friction

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent extracts the essential reordering function from the complex shopping cart interface, creating a streamlined dedicated subscription management system. By separating the automated subscription workflow from the general-purpose shopping cart, the system eliminates unnecessary steps and friction points while preserving product selection capabilities through integrated catalog access.

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS11144980B2Adaptive scheduling of electronic messaging based on predictive consumption of the sampling of items via a networked computing platform

Publication Date: 2021.10.12 ORDERGROOVE LLC

AI summary

Various embodiments relate generally to data science and data analysis, computer software and systems, and control systems to provide a platform to facilitate implementation of an interface, and, more specifically, to a computing and data storage platform that implements specialized logic to facilitate predictive consumption of a sample of an item in accordance with an automatically adaptive schedule, for example, via an interface. In some examples, a method may include identifying data representing a replica of an item for transmission to a location associated with an electronic account, identifying a characteristic associated with a user or an item, predicting a date of consumption of the replica, and generating a subset of data included in an electronic message to initiate executable instructions to generate feedback regarding the replica relative to the date of consumption, among other things.