Predictive Analytics in the Pharmaceutical Industry

Application Screenshots

Technology Stack

Problem Statement

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Difficulty in predicting demand: Without taking historical sales patterns and seasonal patterns into account, it can be difficult for a company to accurately predict future sales and plan for future growth.

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Limited visibility into future performance: Inability of predicting future performance and identify potential risks or challenges.

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Difficulty in identifying key drivers of sales: Challenges in identifying key drivers of sales, such as seasonality, promotions, or external factors like economic conditions.

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Complexity in forecasting for new markets: Inability to forecast sales in new markets and identify potential opportunities.

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Difficulty in tracking performance over time: Without proper analysis of historical sales data, it can be difficult to track performance over time and identify areas for improvement.

Solution Overview

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Utilizing AI for sales forecasting can provide a competitive edge for companies in any industry.

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Predictive solutions assist businesses in planning for future growth and implementing effective risk management strategies to improve sales.

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Many successful companies, such as McDonalds, Colgate, Amazon, and Netflix, have implemented predictive analytics to optimize sales and cater to customer demands.

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We have collaborated with a pharmaceutical company to develop an AI-based forecasting solution that accounts for seasonal patterns in sales and generates monthly and quarterly predictions for analysis.

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Several models such as ARIMA, SARIMA, and Facebook Prophet were tested and the best performing model was chosen for implementation.

Business Impact

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Improved decision-making: Provides insight into historical sales patterns and trends, which can be used to make informed decisions about product development, resource allocation, and future growth.

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Increased efficiency and cost savings: Provides visibility into future performance, which can help a company to identify potential risks or challenges and take proactive measures to address them, leading to increased efficiency and cost savings.

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Better understanding of key drivers of sales: Identifies key drivers of sales, such as seasonality, promotions, or external factors like economic conditions, which can help a company to make data-driven decisions and fine-tune the sales and marketing strategy.

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Better forecasting in new markets: Ability to forecast sales in new markets, which can be beneficial for pharmaceutical companies that are planning to expand their product offerings.

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Better tracking of performance over time : Monitor performance trends over time and pinpoint areas for improvement, enabling data-driven decisions and strategic adjustments to sales and marketing efforts.

Testimonials of Our Happy Clients

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