Sensor Intelligence & PdM
Enhance maintenance efficiency with predictive maintenance, lowering ownership costs by approximately 10%.
⏳Downtime Reduction: 20-40%
📈Equipment Efficiency: Increase by 15%
🛠️ Repair Time: Reduce by 20-50%
Quality Management
Utilize deep learning for defect detection to significantly improve product quality during manufacturing.
🕵️♂️Defect Detection: Increase by 20-50%
✂️Scrap Rate Reduction: 10-40%
💰Return Rate Reduction: 5-20%
Warehousing
Optimize space utilization and streamline material handling with advanced warehousing solutions.
💸Inventory Holding: Reduce by 15%
⏰Order Fulfillment: Cut by 35%
🤝Productivity: Boost by 15%
Supply Chain
AI-driven inventory management predicts optimal stock levels, minimizing costs and avoiding production halts.
💸Carrying Costs: Decrease by 10-25%
💡Fulfillment Improvement: 20-40%
🧠Stockout Reduction: 25-50%
Neural Document Search
AI enhances the management and retrieval of industrial documentation, boosting decision-making efficiency.
🎯Data Retrieval Time: Decrease by 80%
🏹 Compliance Rates: Increase by 25%
💰Operational Admin Costs: Reduce 20%
Scheduling Optimization
AI directs workers to higher-value tasks, enhancing productivity and reducing labor costs.
⚙️Labor Productivity: Increase 10-25%
🛠️Throughput: Boost by 10-30%
🚀Operational Costs: Cut by 10-20%
Strategic SCM Enhancements
Targeted tools to automate & improve supply chain decisions.Tailored Sensor Intelligence
Custom modeling transforms sensor data into actionable information & true decision support.Smart Manufacturing Synergy
Identify hidden patterns and trends that impact operations.Smart Document Search
Improve & automate the time-consuming and error-prone task of sifting through documents.
Unlocking New Efficiency Together
Partner with Mosaic Data Science to integrate AI and ML innovations into your manufacturing processes, paving the way for unprecedented operational efficiency.
Elevating Quality with Precision
Collaborate with Mosaic to harness the power of data science, enhancing product quality and consistency across your manufacturing lines.
Transformative Insights for the Future
Let Mosaic be your guide to leveraging predictive analytics, ensuring your manufacturing decisions are always one step ahead.
Innovating for Sustainable Growth
With Mosaic, discover AI-driven solutions that not only enhance your manufacturing capabilities but also prioritize sustainability and resource efficiency.
Quantifying Commodity Sentiment with AI
In this case study, Mosaic fine-tuned language models to analyze text and quantify public sentiment to explain commodity pricing with AI. Our team used sentiment model outputs to extract insights regarding price trends for a specific commodity and predict future price movements.Read More →
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 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 →
Market & Competitive Intelligence Powered by NLP using Social Data
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 →
Data Science and Design Thinking
Mosaic writes an in-depth view on the synergies between design thinking & data science. We also examine how these two disciplines can be used together.Read More →
Workforce Planning Prediction
Optimizing seasonal staffing and resourcing is a key challenge for many industries, especially when the exact timing of high-volume activity can change based on complex factors.Read More →
Predicting Signal Degradation using Weather Data
Mosaic built a model that predicted signal disruption, up to 16 hours in advance, based on North American precipitation forecasts and historical signal quality measurements.Read More →
Deploying Analytics for CPG Late Delivery Prediction
We designed and deployed an AI model to predict shipments at risk of late fees for one of the world’s largest CPG businesses.Read More →
Advanced Revenue Forecasting
Our ML consultants helped a publicly traded, multi-national manufacturer more accurately identify and predict drivers of revenue.Read More →
Daily Store-Order Prediction Case Study
Our AI consultants designed and deployed a custom tool to forecast store-level demand for a leading food & beverage manufacturer.Read More →
Dispatch Routing Optimization
In this whitepaper, we examine how different companies can attack the dispatch routing optimization problem using ML & AI.Read More →
Data Science for Manufacturing
Manufacturing companies have a large opportunity to apply data science techniques like AI & ML to optimize their business processes.Read More →
