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Accelerating Supply Chain using Data Science

About The Client:

Client is leading Healthcare Hospital Group targeted for better forecasting and managing the Supply Chain effectively. The client is largest hospital chain in SEA with more than 5,000+ employees.

Business Challenges

Technology Enabled Business Solution

Data Science Models like Multi Variate Time Series (Vector Auto Regression), Deep Learning Techniques like LSTM (Recurrent Neural Networks) and Advanced AI Techniques of ARIMA
Drive KPI(s) and ROI via Forecast and Machine Learning Models
Sanitize and Integrate data from various Heterogeneous Systems into Large Volumes of Structured, Semi-Structured, Unstructured data stored in “NoSQL storage” like Graph DB, Columnar DB, Key-Value DB and Document DB.
Effective Data Transformation using Python.
Develop tools in GBQ using SQL

Back to Our Case Studies

Accelerating Supply Chain using Data Science

About The Client:

Business Challenges

Technology Enabled Business Solution

Business Impact

Contact

Pages

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Back to Our Case Studies

Accelerating Supply Chain using Data Science​

About The Client:

Business Challenges​

Technology Enabled Business Solution

Business Impact

Contact

Pages

Our Address

Contact

Accelerating Supply Chain using Data Science

Business Challenges