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Case Study: Enabling Printer Classification with Machine Learning for a North American Retailer

Client: North American Retailer
Year: 2020
Industry: Retail
Services Provided: Proof of Concept (POC), Machine Learning, Printer Classification

Problem

The retailer needed a machine learning solution to classify printers in their inventory, but they lacked an internal ML team to take on the project. This capability was essential for their operations and potential future development.

Solution

Kact developed a proof of concept (POC) to demonstrate the effectiveness of machine learning in solving the retailer’s printer classification needs:

1. Cutting-Edge Printer Classification Model: Kact built a custom ML model designed to accurately classify printers based on various attributes, providing the retailer with a clear example of how ML could streamline their operations.

2. Increased Management Buy-In for Phase 2: The success of the POC convinced the retailer’s management of the model’s potential, leading them to fund a full implementation in Phase 2.

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Client Testimonial

“Kact’s POC work was instrumental in showcasing the value of machine learning for our business. Their expertise in printer classification provided us with a clear roadmap and demonstrated the impact ML could have on our operations. Thanks to Kact, we gained management approval to move forward with a fully-funded Phase 2, and we’re excited to see what we can accomplish with their continued support.”

— Retailer Representative