AI Pricing System for Retail Inventory Clearance

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Solution Overview

Problem

Retailers face challenges in determining optimal prices for items to clear inventory efficiently, often resulting in unsold stock or missed revenue opportunities, as existing methods lack precision in predicting demand and timing for price adjustments across various item categories.

Innovation Solution

The implementation of machine learning models, such as forecasting and item pricing optimization models, to determine item prices and timing for clearance, utilizing historical data and inventory levels to predict demand and set clearance prices that maximize revenue while avoiding excess inventory.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional manual pricing methods are used for inventory clearance, then operational simplicity is maintained, but pricing precision and revenue optimization deteriorate

Engineering Contradiction:
Improvepricing precisionVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces manual pricing mechanisms with an automated electronic pricing system that uses machine learning models and forecasting algorithms to determine optimal clearance prices, eliminating the need for human judgment and calculation in price setting

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

Solution Approach 2:

The system enables self-service pricing by allowing the automated pricing engine to independently analyze inventory data, predict demand, and set clearance prices without human intervention, with the capability to automatically adjust prices based on real-time inventory levels and sales performance

Inventive Principle:
Principle #25Self-service

2Adaptability or versatility

If uniform clearance pricing is applied across all items, then operational simplicity is maintained, but adaptability to different item categories and demand patterns deteriorates

Engineering Contradiction:
Improvepricing adaptabilityVSAvoidpricing system complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements local quality by applying category-specific pricing parameters and demand forecasting models tailored to different item types (e.g., perishable vs. non-perishable, seasonal vs. year-round items), allowing each item category to have optimized pricing strategies rather than a blanket approach

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system employs dynamic pricing that automatically adjusts clearance prices based on real-time inventory levels, sales velocity, and predicted demand, enabling prices to adapt continuously throughout the clearance period rather than remaining static

Inventive Principle:
Principle #15Dynamics

3Productivity

If clearance pricing is initiated early to ensure inventory sale, then inventory clearance effectiveness is improved, but revenue maximization deteriorates due to prolonged discounting

Engineering Contradiction:
Improveinventory clearance rateVSAvoidrevenue loss
Core Design Contradiction:
ProductivityVSLoss of energy

Solution Approach 1:

The system performs preliminary action by pre-calculating optimal clearance pricing strategies and timing based on historical data and forecasted demand before the clearance event begins, allowing the retailer to start clearance at the optimal moment rather than reacting to inventory buildup

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements feedback mechanisms that continuously monitor sales performance and inventory depletion during clearance, automatically adjusting prices in response to actual market response to accelerate clearance when needed while preserving revenue when demand remains strong

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS12079831B2Methods and apparatus for electronically determining item pricing
Publication Date: 2024.09.03 WALMART APOLLO LLC
  • US12079831B2 patent drawing
  • US12079831B2 patent drawing
  • US12079831B2 patent drawing

AI summary

This application relates to apparatus and methods for automatically determining and providing prices for items for sale in stores or online such as to clear inventor of the items. In some examples, a computing device employs artificial intelligence, such as machine learning models, to determine the pricing of the items. For example, the computing device may employ a forecasting model that determines a forecasted demand for an item based on store inventory and experimental sales of the item. The computing device may also employ an item pricing optimization model that determines a clearance price for the item based at least on the forecasted demand as well as historical data indicating previous price adjustments and sales of the item. In some examples, the item pricing optimization model determines a time period to apply the clearance price to the item. The item may then be placed on sale for the clearance price.