Demand Planning & Big Data Analytics
Overview Of Demand Planning & Big Data Analytics
The case study describes how a business sector used an AI model to forecast the monthly demand for its products for a year ahead and optimize its cost-related aspects. The AI model used historical and current data on demand, inventory, procurement, warehouse, production, sales, and discounts to capture the patterns, trends, seasonality, and anomalies in the data. The AI model also analyzed the relationship between sales profits and discount policies and provided recommendations for the best ways to apply discounts to maximize profits. The case study evaluated the performance of the AI model by comparing it with the baseline methods and measuring the forecast accuracy and the cost savings. The case study also discussed the challenges and limitations of the AI model and the future directions for improvement.
Technology Stack
Project Synopsis
- A reliable and robust data source that provides historical and current data on demand, inventory, procurement, warehouse, production, sales, and discounts for the business sector of interest.
- A suitable AI model that can handle time series data and capture the patterns, trends, seasonality, and anomalies in the demand and other variables.
- A validation and evaluation framework that can measure the forecast accuracy and the cost savings of the AI model compared to the baseline methods.
- A user-friendly interface that can display the forecast results and the recommendations for the cost-related aspects in a clear and intuitive way.
- A feedback mechanism that can collect the user's inputs and preferences and update the AI model accordingly.
Key Features of Demand Planning & Big Data Analytics
Privacy and Security
Robust privacy settings and data encryption ensure the security of user information. Only registered and verified users can access profiles.
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Client Says About Us
“Idiosys technology, is one of the best people I've worked with, Developers work hard and dedicate to the project. I have no hesitation in recommending Idiosys & I look forward to working with them for a long time to come.”
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