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Flight Inventory Planning by AI
We are proud to present Pratham Software’s Case Study No 8: which is Flight Inventory Planning by AI.
About: The customer is a leading software provider in the airline industry, offering solutions that enhance the digital cabin experience for airlines through in-flight entertainment and point-of-sale (POS) systems.
Business Need: Airlines face the challenge of efficiently planning inventory and pricing for food and other products on each flight. To maximize revenue and ensure resource optimization, predicting stock requirements before takeoff is a critical aspect of operations and revenue management. Inaccurate stock predictions can lead to shortages or excesses, impacting both customer satisfaction and profitability.
Solution: Pratham Software GmbH developed an AI-powered solution that uses historical order data to prescribe stock levels for each product category on every flight. The model incorporates key features such as flight duration, date and time, and sectors, enabling precise inventory predictions for various flights.
Software Tools:
- Machine Learning (Hybrid Model, Grid Search CV)
- SQL Server
- Python
- Jupyter Notebook
- EC2
- FastAPI
- React JS
- S3
Results of our Flight Inventory Planning by AI
- Optimized supply chain
- Reduced costs and minimized waste
- Increased revenues and profitability
This solution provided airlines with a predictive tool for inventory planning, improving their resource management and contributing to overall operational efficiency.
Interested to learn more from Pratham Software’s exciting AI case studies?
Having studied our Pratham Software AI Case Study 6: Automatic Account Assignment, please also check our other case Studies!
- Case Study No. 1 Automatic Sampling of BIM Description with AI
- Case Study No. 2 Loan Default Early Warning with AI
- Case Study No. 3 Centralized Chatbot with Azure open AI
- Case Study No. 4 Train Rolling Inspection & Alerting by AI
- Case Study No. 5 Automatic Invoice Processing by AI
- Case Study No. 6 Automatic Account Assignment with AI
- Case Study No. 7 Dynamic Discounting with AI
At Pratham Software GmbH, we specialize in creating AI-driven solutions that tackle industry-specific challenges, automate processes, and boost profitability. This is just another example of how our AI expertise can transform your back-office operations and make your business more efficient.
Stay tuned for more innovative case studies as we continue to demonstrate how AI can be harnessed to bring tangible business value. Interested in transforming your financial operations with AI? 💡 Contact us today to explore how Pratham Software GmbH can help streamline your business processes.
Dynamic Discounting with AI
We are proud to present Pratham Software’s Case Study 7: which is Dynamic Discounting with AI.
About: The customer is one of the Big 4 business consulting firms, known for their expertise in developing effective pricing strategies. Their goal was to build a comprehensive pricing strategy product that could serve clients across multiple industry verticals.
Business Need: The discounting process for the client’s pricing strategy was highly complex, involving a variety of attributes related to customers, products, and orders. These attributes were difficult to capture using traditional rules-based systems, and pricing analysts struggled to manage so many dimensions. The client needed a solution to generate discount guidelines that could accommodate the wide array of variables while providing actionable insights to assist pricing analysts.
Solution: Pratham Software GmbH conducted an in-depth analysis of historical discount data and identified the most significant features. The team then delivered an AI-based solution that generates discount guidelines, using techniques such as feature boosting, outlier detection, portfolio selection, approval workflows, and built-in guardrails to ensure guideline integrity and accuracy.
Software Tools realizing Dynamic Discounting with AI
- Machine Learning (Random Forest)
- Python
- React JS
- Kubernetes
- EMR (Elastic MapReduce)
- S3
- Octopus
- OKTA
Results:
- Better alignment with customer willingness to pay
- Improved deal closure and profitability
- Enhanced operational efficiency
This solution : Dynamic Discounting with AI empowered the client to optimize discounting strategies while ensuring accuracy, consistency, and enhanced decision-making capabilities for pricing analysts.
Interested to learn more from Pratham Software’s exciting AI case studies?
Having studied our Pratham Software AI Case Study 6: Automatic Account Assignment, please also check our other case Studies!
- Case Study No. 1 Automatic Sampling of BIM Description
- Case Study No. 2 Loan Default Early Warning
- Case Study No. 3 Centralized Chatbot with Azure open AI
- Case Study No. 4 Train Rolling Inspection & Alerting by AI
- Case Study No. 5 Automatic Invoice Processing by AI
- Case Study No. 6 Automatic Account Assignment
At Pratham Software GmbH, we specialize in creating AI-driven solutions that tackle industry-specific challenges, automate processes, and boost profitability. This is just another example of how our AI expertise can transform your back-office operations and make your business more efficient.
Stay tuned for more innovative case studies as we continue to demonstrate how AI can be harnessed to bring tangible business value. Interested in transforming your financial operations with AI? 💡 Contact us today to explore how Pratham Software GmbH can help streamline your business processes.
AI Case Study 6: Automatic Account Assignment
We are excited to present our Pratham Software AI Case Study 6: Automatic Account Assignment!
About: The client provides a platform for optimizing and monetizing the processing of paper and electronic invoices. Their solution automates the entire invoice-to-pay process, simplifying each step from receipt through reconciliation.
Business Need: Currently, users manually enter General Ledger (GL) accounts based on item descriptions in invoices. This method is inefficient, prone to errors, and lacks consistency, which delays financial reporting, introduces inaccuracies in financial records, and increases operational costs.
Solution: Pratham Software GmbH developed a solution that automates the assignment of GL accounts based on item descriptions. The goal of this solution is to improve the accuracy and efficiency of financial data while ensuring that GL accounts are accurately classified and assigned to relevant items.
Software Tools:
In order to accomplish the project we used the following software tools:
- Machine Learning (LLM)
- Feedback loops
- NLP (Natural Language Processing)
- EC2
- Fast API
- Python
- React JS
- S3
- SQL Server
Results:
- Improved system efficiency and consistency
- Enhanced financial data accuracy
- Increased productivity
Interested to learn more from Pratham Software’s exciting AI case studies?
Having studied our Pratham Software AI Case Study 6: Automatic Account Assignment, please also check our other case Studies!
- Case Study No. 1 Automatic Sampling of BIM Description
- Case Study No. 2 Loan Default Early Warning
- Case Study No. 3 Centralized Chatbot with Azure open AI
- Case Study No. 4 Train Rolling Inspection & Alerting by AI
- Case Study No. 5 Automatic Invoice Processing by AI
At Pratham Software GmbH, we specialize in creating AI-driven solutions that tackle industry-specific challenges, automate processes, and boost profitability. This is just another example of how our AI expertise can transform your back-office operations and make your business more efficient.
Stay tuned for more innovative case studies as we continue to demonstrate how AI can be harnessed to bring tangible business value. Interested in transforming your financial operations with AI? 💡 Contact us today to explore how Pratham Software GmbH can help streamline your business processes.
