endorsedCompleted

Production-Line Management Software with ML for Furniture Manufacturer

Services Covered:

Custom Software Development

Industry

Engineering & Manufacturing

Duration

6 months

Budget

50K - 199K

Start Date

1 February 2020

Team Size

1-5 Employees

Engagement Model

Onshore

Project Capability Score (PCS)

71/100

Good

Project Capability Score (PCS) estimates how capable Addepto is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Confidential

Poland

Project Summary

A furniture manufacturing company hired Addepto to build a production-line management tool that optimizes material waste and implements machine learning. The team used Python, Flask, jQuery and custom ML code (PyTorch, TensorFlow). Internal stakeholders praised Addepto's communication, agile project management and commitment, and plan to engage them on another project.

Key Challenges

Needed help with software development.

Project Deliverables

Software tool to manage production lines and optimize material waste.
Machine learning and AI models (implemented using PyTorch and TensorFlow).
Custom backend and frontend components built with Python, Flask, and jQuery.

Project Solution

Addepto built a custom software tool to manage production lines and optimize material waste. They worked from client technical specifications to implement backend and frontend components using Python, Flask and jQuery, and developed machine learning/AI models implemented in PyTorch and TensorFlow. The engagement followed an agile, scrum approach with work tracked in Jira and weekly online calls.

Project Outcome

Milestones for the delivery of specific software parts were planned and met.
Improved project communication and management via Jira and weekly online calls.
Client satisfaction: stakeholders praised Addepto's involvement and commitment and plan further collaboration.

Platforms

Tech Stack

Python
jQuery
Flask
TensorFlow
Pytorch
Jira

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Internal stakeholders are pleased with Addepto’s services, noting their smooth and effective project management style. Throughout the project, the team was dedicated to success, emphasizing communication and professionalism.”
Anonymous
Business Analyst
Date: 11/06/2020