Time Saving
Data Forecasting helped the client to plan production & saved 90% of the total time
Data-Driven Decision Making: How Pharmaceutical Company Improved Sales Forecasting with an Intelligent Solution?
Industry Pharmaceutical
Company Johnson & Johnson
Location Global
Data Forecasting helped the client to plan production & saved 90% of the total time
On-field Sales Team gets push notifications for medicine deadlines, dosage selection, competitor analysis
Mobile app helped in inventory management, avoiding stock-outs & improving supply chain efficiency
Streamlined operations, improved sales team's performance helped managers with quick strategy decisions
Johnson & Johnson is a well-known pharmaceutical brand all over the world
Sales team didn't have access to competitor activity, which made challenging to develop strategies to beat competition
Manual evaluation of the on-field sales team's performance
Forecasting of specific medicine usage was missing
Adding managerial hierarchy for real-time reports, data analysis, notifications were absent
Push notifications to the sales team reminding them of medicine deadlines & dosage selection
Developed Android & iOS apps for On-field Sales people to collect data in terms of medicines, dosage and analyze the competitors too
Developed Dashboard for graphical representation of data collected from apps to help admin for strategic decisions
The dashboard provided real-time reports, data analysis & notifications to the managerial hierarchy
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