• Predictive Maintenance is monitoring the performance and condition of equipment during normal operation to reduce the likelihood of failures while minimizing the cost of planned downtime. Typical factory loses between 5% to 20% of manufacturing capacity due to downtime.
• Beyond just predicting product failures, the data can be used in the actual repairs. Predictive maintenance techniques are designed to help determine the condition of in-service equipment to estimate when maintenance should be performed. This approach promises cost savings over routine or time based preventive maintenance, because tasks are performed only when warranted.

Document processing involves document entry, validation and approval. In case of large volume of documents human error and processing time is enviable. We have experience of developing smart document processing solution using supervised and deep learning to process document to convert from unstructured to structure data. BWC Team can provide solution for different documents like Invoice, insurance, Order and others. Our expertise is in developing custom solution with custom pre and post processing algorithm to significantly improve efficiency with desired level of accuracy.

• Organizations have abundant of data collected from various IOT and various business applications.
• This large volume data contains information of Product, Services, Customer, Supplier and so on. Also information is available in different form including structured and un structures.
• Organizations would like to use the data for optimizations, predictive analytics, statistical analysis and so on.