Convenience White Paper

AI-Driven Platform for Independent Retailers

Version 1.0
June 18, 2025

Download Full White Paper

Complete 14-section document with technical details and market analysis

Table of Contents
1. Executive Summaryp. 1
2. Problem Statementp. 2
3. Solution Overviewp. 3
4. Consumer Marketplacep. 4
5. Operations Suitep. 5
6. Collective Buying Enginep. 6
7. Core Innovations (Protected Prior Art)p. 7
8. SKU Fingerprinting Algorithmp. 8
9. AI-Optimized Web Pagesp. 9
10. Multi-Channel Order Ingestionp. 10
11. Architecture & Workflowp. 11
12. Quantified Benefits & Use Casesp. 12
13. Future Directionsp. 13
14. Conclusionp. 14
Executive Summary

Independent retailers face a widening digital divide: large chains use complex platforms for ordering, inventory, and customer engagement while third-party delivery and marketplace services extract high fees. Convenience is an AI-driven platform that bridges this gap by combining:

  • • A unified consumer marketplace with integrations to multiple delivery and discovery channels
  • • An operations suite for real-time inventory management, order processing, demand forecasting, and marketing automation
  • • A Collective Buying Engine that aggregates demand across similar stores to negotiate bulk pricing, rebates, and promotional displays

This document establishes prior art on the core innovations behind Convenience without disclosing proprietary details. It demonstrates how these innovations solve real-world problems and positions Convenience as a thought leader in retail technology.

Core Innovations (Protected Prior Art)

4.1 SKU Fingerprinting Algorithm

Description: A nightly process computes a store's SKU vector across top products, then calculates similarity scores to assign Cluster IDs.

Prior Art Claim: The algorithm's specifics, including vector parameters and threshold logic, are subject to a provisional patent filing.

4.2 AI-Optimized Web Pages

Description: Automated generation of search-engine-optimized pages with structured data markup and voice-assistant readiness.

Prior Art Claim: The template engine and markup strategy are documented as prior art to prevent derivative patents.

4.3 Multi-Channel Order Ingestion

Description: A unified pipeline that retrieves orders from multiple APIs and reconciles service fees and commissions automatically.

Prior Art Claim: The pipeline architecture and fee-reconciliation method are covered under provisional patent documentation.

Quantified Benefits & Use Cases
BenefitImprovement Metric
Reduced Stockouts40% fewer out-of-stock events
Lower Inventory Carrying Costs20% reduction in average inventory value
Commission Savings5% fewer fees via optimized scheduling
Bulk Pricing Margin Lift10% higher gross margin on core SKUs
Faster Order Processing50% reduction in fulfillment time
Team
CI

Chukwuemeka Iroegbu

Founder & CEO

Visionary leader driving product strategy, market positioning, and investor relations.

UI

Uchenna Iroegbu

Founder & COO

Operations architect overseeing platform development, retailer partnerships, and pilot program execution.

Contact

Chukwuemeka Iroegbu
Founder & CEO, Convenience
chuks@c3labs.io

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