Digital Promotion System for Cross-Configuration Product Quantity Thresholds
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Solution Overview
Problem
Existing marketing systems for products, particularly those using coupons, often fail to account for consumer preferences across different package configurations, leading to missed discounts when consumers purchase varying sizes or types of products, limiting redemption opportunities.
Innovation Solution
A system comprising a POS terminal and a database that stores package quantity data and promotion thresholds, allowing for the calculation and comparison of product quantities across multiple package configurations to award digital promotions when a threshold is met, enabling redemption during purchases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If coupons are made product-specific and package-specific, then discount accuracy is improved, but consumer flexibility and redemption opportunities deteriorate
Solution Approach 1:
The system segments the coupon validation process into two independent components: product identification and package configuration. The database stores separate data fields for product type and package size, allowing the system to verify product eligibility while independently calculating quantity thresholds across different package configurations. This segmentation enables consumers to receive discounts on various package types while maintaining accurate product-specific promotion tracking.
Solution Approach 2:
The coupon system is designed with multi-functionality to handle multiple package configurations for the same product. The database structure and calculation logic are universal across different package sizes, allowing a single coupon to be applicable to various package types (e.g., 6-pack, 12-pack, individual items) as long as the total quantity threshold is met. This universal design maintains discount accuracy while significantly improving consumer flexibility and redemption opportunities.
2Ease of manufacture
If traditional paper coupons are used, then implementation simplicity is improved, but tracking and verification efficiency deteriorate
Solution Approach 1:
The system replaces the mechanical paper coupon system with an electronic tracking mechanism. Instead of physical coupons that require manual tracking and verification, the system uses digital data storage in a database and automated electronic verification at the point of sale. The controller automatically calculates product quantities, compares them against promotion thresholds, and verifies coupon eligibility electronically, dramatically improving tracking and verification efficiency while maintaining implementation simplicity through standardized database structures.
3Adaptability or versatility
If quantity thresholds are calculated across different package configurations, then consumer incentive coverage is improved, but calculation complexity deteriorates
Solution Approach 1:
The database implementation applies local quality by storing specific package configuration data (such as items per package, package size multipliers) in dedicated fields for each product entry. This localized data organization allows the calculation algorithm to efficiently retrieve and process only the relevant package-specific information needed for threshold calculations, rather than handling all possible package variations globally. This approach expands consumer incentive coverage across diverse package types while managing calculation complexity through targeted, localized data access.
Solution Approach 2:
The system manages calculation complexity by dynamically adjusting calculation parameters based on the specific package configurations detected in a transaction. The controller retrieves package-specific parameters (quantity multipliers, base unit definitions) from the database and adapts the threshold calculation logic to match the actual package types purchased. This parameter-based approach enables flexible cross-package configuration threshold calculations without requiring complex hard-coded logic for every possible package combination, thereby improving consumer incentive coverage while controlling system complexity.
Data Source
AI summary
A system may include a point-of-sale (POS) terminal and a database configured to store respective package quantity data for different package configurations for each product from among products, and to store respective product quantity promotion threshold data for each product. The system may also include a controller coupled to the database and the POS terminal and configured to calculate, based upon the stored package quantity data, a given product quantity for a given purchase of a plurality of different package configurations of the given product at the POS terminal. The controller may be configured to compare the given product quantity to a respective product quantity promotion threshold from among the stored product promotion threshold data, and when the given product quantity is above the respective product quantity promotion threshold, then award a digital promotion for redemption.