Starting Semester: Fall 2023
Assigned: Yes
Location: Atlanta

Steelcase Inc.

Client Profile

Steelcase Inc. is a global leader in the design, manufacturing, and distribution of innovative furniture and technology solutions for work, healthcare, and education spaces. Founded in 1912 and headquartered in Grand Rapids, Michigan, Steelcase is known for its commitment to sustainability, research-based design, and collaboration with clients to create environments that support creativity, productivity, and well-being. With a presence in over 80 countries, Steelcase has a diverse portfolio of products and services that includes seating, desks, storage, architectural walls, and technology-integrated solutions.

Project Description


Steelcase operates a complex and dynamic manufacturing environment that requires constant monitoring and optimization to maximize efficiency and profitability. One of the biggest challenges is making dynamic decisions in real-time based on changing conditions and data inputs. Inspired by Chatgpt, Artificial Intelligence (AI) has shown great potential in helping to automate and optimize these decisions, leading to increased productivity, reduced waste, and improved quality.

Project Objectives & Goals:

The objective of this project is to develop an interactive, AI-based system that can make dynamic, query-based decisions, in real-time to optimize manufacturing operations. The system will be designed to process large amounts of data from various sources, including user input, sensors, production line machines, and other IoT devices, and use this data to augment the user to make informed decisions. Overall, the goal of this project is to provide useful and effective natural language processing capabilities to users.


Understanding of industrial systems nomenclature
Understanding of manufacturing principles and operation
Understanding of advanced analytics and the application of methods and procedures to factory operational data
Knowledge of machine learning algorithms, deep learning techniques, and natural language processing
Ability to analyze, and preprocess data for model training and evaluation
A strong foundation in programming languages such as Python