- 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.
Based on rich Industry experience and expertise of Data Science using specific algorithms and (Logistic Regression, K-Means clustering, Monte Carlo methods) BWC team can help you to adopt the solution for specific customer challenges.
Cognitive Document Processing
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.
- Multiple formats of Invoices/ delivery notes like – Manual (not hand written), E Invoices, PDF, XLS, Text formats, Image (pdf, TIF, PNG). Annexure and Notes to invoices
- Support for Invoice in standard and non-standard formats
- Support for multipage Invoice/ Delivery Note
Setup & Migration to Big Data
- 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.
BWC experience includes migrate application to Hadoop Stack. Implement Machine Learning algorithm to predict certain failures Implement UI using modern techniques to provide automated user alerts. Some of the technology stack used are Kafka, HDFS, SQOOP, Hive, Spark, Pyspark, Zeppelin, Java technologies and others.