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Business Impact

  • 95%

    String accuracy

  • 99.6%

    Character accuracy

  • 5MB

    Model file size

Customer Key Facts

  • Rank : Fortune 100
  • Size : 80,000+ employees
  • Location : Atlanta, Georgia
  • Industry : Food & Beverages

Problem Context

Coca-Cola, an American multinational beverage corporation, had launched a loyalty reward redemption program, called MyCokeRewards.com, in which customers had to manually enter 14-character pin codes printed inside their purchased beverage’s bottle caps into a mobile device.

Coca-Cola wanted to eradicate this manual data entry process and aspired to enhance the end consumer experience by building a swift image scanning solution.

Challenges

 

  • Non-standard fonts on the bottle caps
  • Synthetic data generation for varying lighting, scales, rotations, tilts, modes
  • 14^20 possible character combinations
  • Small model size needed to help fit on edge devices

Technologies Used

Amazon EC2
AWS Lambda
Amazon S3
TensorFlow
Python

Delivering ‘Magic Wand’ Proof of Purchase Experience on Phone-Based App

Solution

Quantiphi developed a custom computer vision solution which enabled customers to easily scan their bottle cap on the mobile app, accurately processing the pin code with sub-second response time for both Android and iOS devices. This saved the company millions of dollars by avoiding the requirement to update printers in production lines to support higher-fidelity fonts that would work with existing off-the-shelf OCR software

Result

  • Effortless proof of purchase submission
  • Seamless customer experience
  • Greater cost savings

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