Programmatic Merchandising Platform for Fuel Pump Conversion
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Solution Overview
Problem
Convenience stores face challenges in converting fuel-only purchasers into multi-product customers due to limited interaction time and space at self-service gas pumps, making it difficult to effectively market higher margin in-store products.
Innovation Solution
A programmatic merchandising platform that utilizes predictive analytics and machine learning algorithms to deliver targeted, location-specific advertisements on fuel pump screens and in-store displays, while tracking and analyzing sales data to optimize promotional messages and improve conversion rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If self-service gas pumps are used for fueling, then customer service speed and convenience are improved, but the opportunity for in-store marketing and conversion is lost
Solution Approach 1:
The patent introduces an intermediary system consisting of display screens at the gas pump and a centralized server that communicates with both the pump and the convenience store POS system. This intermediary enables marketing messages to be delivered to customers during the self-service fueling process without requiring direct human interaction, thus maintaining service speed while recovering marketing opportunities
Solution Approach 2:
The patent replaces the traditional mechanical approach of in-person marketing (cashier interaction) with an electronic information system. Display screens and digital communication channels substitute for human-to-human interaction, allowing marketing messages to be conveyed automatically during the fueling transaction without affecting service efficiency
2Loss of information
If traditional at-pump advertising is implemented, then product visibility is improved, but conversion tracking reliability deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the system tracks customer responses to advertisements by monitoring subsequent in-store purchases. The server receives data from both the gas pump transactions and the convenience store POS system, enabling it to correlate ad exposure with actual conversion behavior. This closed-loop feedback system reliably measures advertising effectiveness
Solution Approach 2:
The patent merges the gas pump transaction system with the convenience store POS system through a centralized server. By combining these previously separate systems, the patent enables unified tracking of customer journeys from fuel purchase to in-store shopping, allowing reliable conversion attribution that neither system could achieve alone
3Quantity of substance
If generic advertising messages are displayed, then advertising coverage is improved, but marketing effectiveness deteriorates
Solution Approach 1:
The patent applies local quality by customizing advertising content based on specific customer characteristics and contextual factors. The server analyzes customer data (purchase history, demographics) and environmental conditions (time of day, weather, store traffic) to deliver location-specific and customer-specific advertisements, ensuring that each customer receives relevant messaging tailored to their preferences and situation
Data Source
AI summary
An automated advertising scheduling and distribution process reacts to the effectiveness of sales data. A hosted platform creates location-specific playlists based on key consumer variables that impact buying behavior, and dynamically performs data analytics. Utilizing a programmatic system and machine learning algorithmic methodology, the platform gathers data from the retailer's data warehouse and automatically pulls location-by-location sales data while simultaneously collecting playback data. If sales are not being affected on the particular item that is being promoted, then the platform may be configured to replace that message with a promotional message for another product with a higher likelihood of engagement and conversion. This virtual feedback loop ensures that the platform is optimizing the most effective series of promotional messages for any given location. The content management administrator accordingly delivers relevant advertising/messages to various display screens integrated into fuel pumps, through the store, and to retailer loyalty program applications.