DEMAGH™ – Pharma Analytics
Unveiling Tomorrow’s Success Today: Harness the Power of DEMAGH. Drive Smarter Strategies, Stay Ahead, and Define the Future of Pharmaceutical Business.
DEMAGH™ Predictive Analytics
Predictive analytics in pharmaceuticals for sales and inventory management from Al Intisar Solutions (Private) Limited, involves using data analysis and modeling techniques to Predict future sales trends, optimize inventory levels, and improve overall operational efficiency.
Predictive models analyze historical sales data, considering factors like seasonality, market trends, promotional activities, and external influences (like economic conditions or regulatory changes). These models then forecast future sales for different products or regions within a certain confidence interval.
By predicting sales trends, companies can optimize inventory levels to meet future demand while minimizing excess stock. DEMAGH™ helps in determining the right quantity of each product to have in stock at any given time, reducing carrying costs and preventing stockouts.
Understanding demand patterns enables better resource allocation, production planning, and supply chain management. It helps in aligning manufacturing schedules with anticipated demand to avoid overproduction or shortages.
DEMAGH™ Predictive analytics can identify potential risks such as supply chain disruptions, regulatory changes, or market shifts. This information allows companies to proactively mitigate these risks and develop contingency plans.
Analyzing sales data will provide insights into customer behavior, preferences, and purchasing patterns. This information can be used to tailor marketing strategies, develop targeted campaigns, and enhance customer satisfaction.
DEMAGH™ Work Flow
Here's how it works
Predictive analytics involves leveraging advanced statistical methods, machine learning algorithms, and big data technologies to process and analyze vast amounts of data. Additionally, it DEMAGHTM integrates various data sources, such as sales data, historical records, market trends, and external factors, into a unified system for analysis.
DEMAGH™ – Pharma Analytics
However, it's important to note that while DEMAGHTM predictive analytics can provide valuable insights, it's not foolproof. External factors, unexpected events, and market uncertainties can influence outcomes. Regular validation and adjustment of models are necessary to ensure accuracy and relevance.
Refers to the application of data analysis and business intelligence techniques in the pharmaceutical industry.
Al Intisar’s Practical Case Study
of Implementing Predictive Analytics for Pharma Company in Pakistan.
Optimizing Sales Performance in a Pharma Company
Pharmaceuticals is a leading pharmaceutical company that manufactures and distributes a range of medications. The company operates in a competitive market with a diverse product portfolio, catering to various areas. To enhance sales performance and improve overall business outcomes, ABC Pharmaceuticals decided to test results of sales predictive analytics by using Al Intisar Services.
Predict future sales for different products and regions to test the capability of Al Intisar and view how precise prediction can be for future sales.
Analyze the performance of different products in the market by looking at future trends.
Evaluate the effectiveness of marketing and promotional activities.
Al Intisar Solutions adopted following steps for Predictive Analytics
- Pharma Company provided historical sales data, including product sales, customer information, and market trends for past three years to Al Intisar.
Data Cleaning and Integration
- Data was cleaned and preprocessed to ensure accuracy and consistency.
- Data was integrated from various sources to create a unified dataset for analysis.
Feature engineering was carried out, Feature Engineering refers to manipulation — addition, deletion, combination, mutation — of data set to improve machine learning model training, leading to better performance and greater accuracy
- Multiple predictive models were tested for sales forecasting, such as linear regression, time series analysis, decision trees, neural networks.
- Machine learning algorithms were utilized to develop predictive models for sales forecasting.
- Implemented customer segmentation models based on factors like purchasing history, demographics, and geographical location.
- Analyzed product performance and identify features that correlate with success.
Validation and Testing
- Al Intisar team validated the predictive models using historical data to ensure accuracy and reliability.
- Models were tested on a subset of data to assess their performance and necessary adjustments were made.
Implementation and Integration
- Integrated the predictive analytics models into the existing sales
Predictive Analytics by Al Intisar showed 98.7% percentage precision in prediction after comparing with actual data. Benefits a Pharma Company take from this exercise
By understanding customer segments and their behaviors, the company can tailor marketing strategies to specific groups, resulting in higher engagement and conversion rates.
Optimized Product Portfolio
Identifying underperforming and high-potential products allows ABC Pharmaceuticals to adjust its product portfolio for better market responsiveness.
Enhanced Promotion ROI
Analyzing the effectiveness of promotions enables the company to allocate resources strategically, maximizing the impact of marketing campaigns.
Implementing sales predictive analytics can prove to be a strategic move for ABC Pharma, providing actionable insights to drive revenue growth, optimize marketing efforts, and enhance overall sales efficiency.
This case study demonstrates the practical application of sales predictive analytics and capabilities of Al Intisar in the pharmaceutical industry, showcasing its potential to transform business outcomes through data-driven decision-making.
Meet Our DEMAGH™ Team
Researching Hope, Delivering Health: Pharmaceuticals Team Spirit
Syed Qutub AhmedVersatile, dynamic executive officer providing decisive leadership, management and guidance;, with a proven ability to dramatically increase revenues in intensely competitive environments. Strong organizer, motivator and team player with established record of success in identifying new and emerging business opportunities. Highly skilled in developing operational strategies and directing major projects from original concepts to implementation. Areas of expertise
- New Business Development
- IT Business Valuations
- Strategic Visioning / Planning
- Raising Capital / Listing in Stock Exchanges
- BI & Data Warehouse Implementation
- Corporate / Business Development
- Management / IT Team Development
- Product Development / Enhancement
- E- Commerce Strategy & Development
- Project Management / Leadership
- Building Strategic Alliances and Partnerships
- New Technology Development / Transfer