To optimize inventory holding strategy based on estimated future demand per week for each part/equipment type and optimize the reorder level
To optimize space and energy utilization using occupancy sensors data, Forecast the future occupancy pattern and schedule the work.
To build a model to predict the remaining useful life of ESP(Electrical Submerge Pump). To minimize production loss due to ESP failure
Life Science Analytics
To identify the key drivers influencing purchase decision of life science equipment
To reduce the human movement in factory, decrease the timeline of tasks and improve operational efficiency
To minimize supplier engagement to procure a part/product based on cost, quantity, quality & life cycle.
We are a Data & Analytics firm based out of Bangalore started our operation in 2017 with one of the fortune 500 companies. We now have good client base serving in different industries like Healthcare, Retail, BFSI, Media & Entertainment etc.