Top 20 Manufacturing Analytics Case Studies

updated on Jun 24, 2025

High maintenance costs, unexpected downtimes, and inefficient processes continue to challenge manufacturers. To stay competitive, companies are leveraging manufacturing analytics to optimize operations and enhance asset performance.

Explore the top 20 real-world case studies where manufacturers used analytics insights to cut costs, reduce unplanned downtime, and boost productivity.

Top 20 manufacturing analytics case studies

To explore the manufacturing analytics vendor landscape, check out manufacturing analytics software and vendors.

What are the top use cases of manufacturing analytics?

Manufacturing data, including machine and operator information, can be processed and analyzed for:

Supply chain

Demand forecasting: Predicts future product demand using data to optimize production and inventory.
Inventory/asset management: Tracks and optimizes the use of assets and inventory to reduce costs and prevent overstocking or stock outs.
Order management: Manages customer orders to ensure accuracy and timeliness.
Maintenance optimization: Uses predictive analytics to schedule equipment maintenance and minimize downtime.
Risk management: Identifies and mitigates potential disruptions in the supply chain.

Logistics

Automation and robotics: Improves efficiency and accuracy in manufacturing and warehouse operations through robotics and automated processes.
Transportation allocation: Optimizes the assignment of transport resources to reduce costs and improve delivery times.

Product development

Product progress measurement: Tracks the development stages of a product to ensure timelines and quality standards are met.
End-user experience estimation: Evaluates how a product will meet customer needs and expectations based on data.

Sales

Price optimization: Uses analytics to determine the best pricing strategies to maximize revenue and market competitiveness.

Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 55% of Fortune 500 every month.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE and NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and resources that referenced AIMultiple.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

View Full Profile

Researched by

Sıla Ermut

Industry Analyst

Follow On

Sıla Ermut is an industry analyst at AIMultiple focused on email marketing and sales videos. She previously worked as a recruiter in project management and consulting firms. Sıla holds a Master of Science degree in Social Psychology and a Bachelor of Arts degree in International Relations.

View Full Profile