Manufacturing Machine Learning & AI Solutions

Produce more, higher-quality products at minimum cost with AI and machine learning

Manufacturing holds multiple predictive analytics and data science opportunities. With the rise of the Internet of Things (IoT) and data collection technologies becoming more accessible, manufacturing companies have a wealth of data to mine. Companies can use machine learning and AI algorithms on these data sets to apply data-driven guidance and decision making to improve efficiency and quality, and to reduce costs.

Manufacturers can run Proof of Concept (PoC) projects to prove value and garner larger investment before spending multiple millions of dollars on an analytic infrastructure. Many companies turn to a consulting firm like Mosaic to help them in developing a quick-win plan and executing on that plan.

The days when a small group of executives would make million-dollar decisions behind closed doors are over. There is simply too much data for leaders to make sense of. Businesses that combine executive expertise and predictive manufacturing analytics are seeing an increased competitive advantage, along with a substantial boost to the bottom line.

Mosaic’s manufacturing customers are a perfect fit for AI & ML improvements. Despite the 4.0 revolution still being in early stages, we are already deploying significant AI-driven benefits. From the design process, to the line operations, to supply chain, and administration, AI supports the way firms produce products and process materials.

Featured Manufacturing Clients

logos including Leibherr , Cat, Hasbro, and Boeing

Mosaic has compiled our industry expertise into a Machine Learning playbook for Manufacturing.

Experience our unique approach here

Don’t have time to review right now?

Mosaic has deployed AI, ML, and advanced analytics for the following high-impact manufacturing use cases, but our portfolio of manufacturing engagements goes well beyond these four examples.

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Supply Chain Optimization

Mosaic helps manufacturers adopt automation & insights as key heuristics in the process of keeping product in stock and planning for demand.

ML-Enabled Inventory Management Success Story

data grid manufacturing machine learning solutions

Powering Production Runs with AI

Mosaic uses machine learning & optimization tools on sensor data to inform optimal production settings.

Production Optimization Case Study

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AI for IoT & PdM

Our clients leverage Mosaic’s expertise in data science to achieve true PdM and Smart Products, decreasing downtime, cutting costs, and streamlining CX.

Deep Learning for PdM Case Study

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Deep Learning Informing Quality Management

Mosaic deploys custom AI systems that utilize advanced ML techniques to automate defect detection.

Automate & Improve Defect Detection

AI-Enabled Voice Search for Instruction Manuals

Mosaic tunes LLMs for intelligent document processing and search.

Manufacturing Success Story

Explore Some of Our Manufacturing Use Cases

AI-Powered Manufacturing Optimization

Using AI to analyze sensor data, Mosaic helped a renewable energy producer optimize furnace temperature to improve wood pellet production efficiency by reducing slag production and pressure buildup and providing control room operators with easy-to-use recommendations for setting furnace controls.Read More →

AI-Enabled Voice Search Assistant for Operating Manuals

Mosaic built a custom voice search solution using deep learning and state-of-the-art language models to intelligently parse complex mechanical operation manuals and return the desired search resultsRead More →

Designing & Deploying Practical Advanced Graph Analytics Solutions

Given a set of nodes & connections, which can abstract anything from transportation networks, connections between customers, knowledge graphs, or molecular structures to computer data, graph analytics provide a helpful tool to quantify & simplify the many moving parts of dynamic systems.Read More →

Summary Our white paper explores the processes and opportunities presented by NLP for social media in extracting valuable data to drive improved operational and strategic decisions for R&D efforts. Natural language processing (NLP) is one of the most promising social media data processing avenues. It is a scientific challenge to […]Read More →

Deploying ML & Optimization In Risk Assessment Analytics for Robustness and Resilience

We explore how ML & optimization can aid the risk assessment and management process with an eye towards robustness and resiliency.Read More →

Improving Vehicle Alignment using Computer Vision

Mosaic built a computer vision solution to improve the process of a vehicle moving through an automated car wash.Read More →

Extract Movement-Based Insights with Pose Estimation

Wielding the power of computer vision human action extraction to gain insights from video data presents an opportunity for logistics companies to make improvements for new and current customers.Read More →

Predictive Maintenance Modeling for Industrial Machinery

Mosaic was contracted by multi-national manufacturer of construction and mining equipment to develop a proof-of-concept predictive maintenance model to predict equipment failure before it happens to minimize downtime and optimize maintenance schedules.Read More →

Advanced Industrial Inventory Management Analytics

Advanced analytical techniques help manufacturers reduce inventory levels of parts required in manufacturing activities while maintaining confidence that they will not run out of parts. Mosaic was tapped to help a manufacturing company in the semiconductor industry solve the complex problem of optimizing their inventory for both future orders and historical demand ratesRead More →

Deriving value from IoT and sensor data with time series classification (TSC)

Anytime you wish to predict the transient state(s) of something or someone constantly monitored by sensors, time series classifications are the right tool. This article will explain some basic concepts of using deep learning models for TSC and finish with a brief discussion of ways to improve the performance to save on cost and speed.Read More →

Summarizing Text with Artificial Intelligence

Text data presents a tremendous opportunity to benefit all stakeholders of an organization – investors, employees, processes, and the all-important customer – if the organization can find a way to sift through this data in an automated way to extract key information and solve specific challenges. In that case, they could learn about their firm and... Read More →

Detect Defects on the Line with Computer Vision

Deep learning, specifically computer vision and natural language processing, can be designed to identify defects during the product packaging process. These deep learning models can verify that a label on a package is present, correct, straight, and readable.Read More →

Loading Dock Staffing Optimization

Decision processes in support of jobs that either cannot be or are very difficult to automate are frequently overlooked by out of the box software providers. One such process is the creation of optimal staffing plans for outbound teams loading cartons onto trucks.Read More →

Moving Fast & Deploying Predictive Analytics

Working in conjunction with subject matter experts, data scientists can swiftly apply statistical tools and uncover emerging trends. This is extremely valuable for companies trying to operate in a disruption. Not only will executives have an accurate representation of their present situation, but new products & services can be devised from these insights.Read More →

Combat Supply Chain Disruptions with Data Science

Global external shocks are going to continue to happen, that is a fact of operating a business in today’s environment. As companies embrace data science in their decision-making processes, they are better positioned to deal with these disruptions, allowing them to manage a risk-optimized supply chain.Read More →