To stay competitive, you need to be quick, accurate, and make decisions based on data. Moving to the cloud helps manufacturers combine data from different sources, IoT insights, and advanced analytics so they can take action on quality and efficiency sooner.

We help businesses turn their old production environment into a smart factory. Moving MES and IoT data to the cloud lets you make your operations the same across all locations, cut down on defects, and meet market needs faster than ever before. This makes digital continuity possible from the shop floor to the boardroom.

What makes our smart factory cloud migration services the best choice?

• You can easily move old MES and production data to the cloud.
• Using sensors that are connected to the Internet of Things to stream operations live.
• We find problems before they happen by using predictive analytics.
• Another way to say it in six words: Dashboards for making decisions on the go.
• Training and support that never ends to make the most of adoption and innovation.
• Cloud scalability will make it possible to grow in the future and be ready for 41.0.

To be successful in 2025 and beyond, manufacturers need to use the cloud to improve their operations, show measurable performance gains, and make sure their manufacturing is ready for the future.

A multi-site manufacturer used siloed legacy mes systems and different production data, which made operations less efficient, caused more defects, and made it hard to see how well the whole factory was doing. They needed to bring together their production data and make it possible to analyse it in real time to improve output and quality.

Our Involvement.
Neural Network worked with us on a big cloud migration and smart factory project that gave us measurable results in terms of operations.

Moving production data from start to finish and connecting IoT devices.
We moved a whole stack of production data and manufacturing execution systems (MES) from a server to the cloud. We also connected IoT sensors to different production lines so that we could get a constant stream of data on the performance of the machines, the environment, and the quality of the product.

The cloud’s strong design made it possible for site-wide workflows to process and take in large amounts of data quickly.

As a result, factory output went up by 32% because production schedules were synchronised to avoid downtime and bottlenecks.

Quality control that is based on predictions and mobile performance dashboards.
Advanced cloud-based analytics and machine learning algorithms were used to predict quality deviations before they had an effect. Plant managers got dashboards that were easy to use and worked on mobile devices. They showed live KPIs, defect tracking, and maintenance alerts so that they could make data-driven decisions and take action faster, no matter where they were.

Because of this, the number of product defects went down by 22%, and management had never had such a clear view and control over the shop floor.

Automated coordination of the supply chain and predicting demand.

We added a cloud-native supply chain management system that uses demand forecasting models to make operations even more efficient. We coordinated the purchasing, inventory, and logistics of several sites by using current production data and signals from the outside market. By automating whole processes, the number of times that items ran out or were overstocked was kept to a minimum. We cut lead times to the lowest possible level while keeping inventory levels at their best.

AI can tell what people want. So, the prediction is what the plan for supply is based on. Also, the process doesn’t need any manual help.

Automated supplier and logistics workflows make things more responsive and cut down on delays.

Production flows were smoother and profits went up because carrying costs for inventory went down by 18% and supply-chain lead time went down by 25%.

Business Goals Reached.

• The factory’s output has gone up by 32%.
• 22% fewer defects in products.
• Give plant managers real-time operational insights on their mobile devices.
• A cloud platform that works well with new production lines.
• Working together to make the operational scene less chaotic.