Manufacturing Analytics

All manufacturers whether industrial machinery, automotive, aerospace, defense or products, every manufacturer needs to accelerate transformation in the age of Industry 4.0 to unleash the productivity, diminish the cost and boost profitability. 

Modern manufacturing is often referred to as industry 4.0 the next step in industrial technology with growing trends in computers, automation, robotics, and equipment becoming connected to the internet of things (IoT) and enhanced by Machine Learning Algorithms. 

Industrial Revolution


Industry 1.0

Mechanization production using 

Steam power.


Industry 2.0

Mass Production, assembly lines using 

Electrical Power


Industry 3.0

Adoption of Computer, Electronics & IT for further Automation


Industry 4.0

Enhancing automation with autonomous Systems, IoT, Networks fueled by Data.

Data is driving Industry 4.0

Analogyx BI Data and Analytics Platform are driving the fourth industrial revolution in allowing real-time manufacturing analytics to enhance revenue, increase yields and maximize assets in the face of growing competition. 


Data from anywhere and Analogyx BI platform - by combining the two, get customized analytics and reports from the assembly floor to the client’s door, in just a few clicks.

Our Offering

Predictive analytics 

Analysis of present data to determine and avoid problematic circumstances in advance.

  • Help companies understand the drivers behind customer buying habits, supply levels, material costs, and granular details about your customers and their behaviors

  • Deal with the loss of overproduction, downtime, Idle time, logistics, inventory to grow revenues, reduce costs and achieve rapid ROI investment.

  • Optimize production planning, product scheduling, sales forecasting, supply chain, logistics, reduce costs, develop new propositions and monitor machine usage and reliability to meet your business requirements.

  • Through a blend of mathematical algorithms, machine learning (ML), and artificial intelligence (AI) helps you with the recommendation to optimize action plan and drive specific business results.

  • Leverage industrial IoT sensor data to predict things that may occur, whether line management, quality control or predictive maintenance. 


  • It provides a predictive probability for each customer, employee, product SKU, vehicle, component, machine or organizational unit to determine processes that pertain across large numbers of individuals.

Predictive maintenance

Prediction models to predict when the equipment fails to deliver the job

  • Analogyx predictive techniques help prevent equipment failures from happening or at least to reduce their number to avoid unwanted delays and failures to save time & increased alertness.

  • Lower maintenance costs, extend equipment life, reduce downtime and improve production quality by addressing obstacles before they cause equipment failures

  • Keep your machines running by comparing past machine failures to sensor data from the machines to recognize patterns before breakdowns happen

  • Optimize the best time and sequence for a break/shut down for repairing equipment.

  • Schedule maintenance tasks in relation to production targets, downtime, inventory requirements, and other interdependencies.

  • Allow managers to see which parts will be the first to fail or those need replacing, control inventories, stockpile the right parts, and order replacements before they are needed

Demand forecasting

Accurately determine the optimal supply rate and build adequate resources by minimise expenses

  • Be proactive to respond to market demand due to Trends, seasons, customer demographics and other factors. Help you avoid under buying, overbuying, or buying the wrong items at the wrong time.

  • Optimize production cost, speed, and flexibility to determine how much of each product to produce, when to produce it and in which location.​

  • Forecast strategic and short & long term plans like pre-building, make-to-stock, make-to-order, contract manufacturing, supply planning.

  • Aggregate and analyze pricing and cost data both from the internal sources and those of your competitors and determine optimized price variants.

Inventory & Supply management

Control inventory and reduce the need to store products and efficiently manage stocks and supply process

  • Eliminate bottlenecks & boost manufacturing efficiency by maximizing the use of raw materials, available equipment and personnel, minimize product costs and increase profits by delivering orders on time.

  • Manage inventories to meet customer demand while reducing costs, stocking the right products in the right quantities at the right locations. Compare multiple planning scenarios using what-if analysis.

  • Classify realtime carrying cost of your inventory and create methods to maximize space & resources. 

  • Connect directly to ERP, SCM, MES, and other internal systems, as well as external data sources like third-party logistics to identify potential supply chain issues.

  • Predict potential delays and calculate probabilities of the problematic issues to identify backup suppliers and develop contingency plans