Real-Time & Accurate Demand Forecasting with AI/ML Technologies
Demand Forecasting
The Demand Forecasting module uses a combination of both classical statistical forecasting techniques and modern ML/AI algorithms to generate accurate long-term forecasts. Moreover, the Auto modelling functionality and Hyper Parameter optimization ensure the system selects a ‘best-fit’ forecasting model empowering citizen demand planners to create accurate demand forecasting.
The Solution enables automatic selection of a 'best fit' forecast model
Advanced AI/ML algorithms in addition to traditional
techniques:
- ARIMA
- Multi-Linear Regression
- First and Second - Order
- Holt-Winters Model
- Moving Avg
- Facebook Prophet
- SARIMA
- Croston Model
- Deep AR+
- Weighted Mov Avg
Demand Sensing
The Demand Sensing module refines the long-term forecast over the immediate future horizon using various internal, external and supply variables that might have a significant impact on sales. Additionally, historical data on sales, forecast data and other variables such as promotion, price, supply factors, Point-of-Sales, weather events, strikes, lockdowns etc. are used to train an AI / ML model.
Similarly, the trained AI / ML models can then be used to predict sales demand with higher accuracy over the near immediate future horizon on a near real-time basis. Furthermore, it uses NLP technologies to collect a wide variety of unstructured data and convert into structured format for use in ML /AI modelling.
Supply Distributed Planning
The Supply Planning module uses the refined accurate forecasts from Demand Forecast and Demand Sensing modules to generate precise supply-distribution plans throughout the supply chain network. Specifically, advanced functionalities, such as Dynamic Safety Stock and Re-Order Inventory Level Calculation enable supply planners to maintain a lean inventory level with a higher rate of demand fulfilment.
A user-friendly interface allows planners to review, simulate, and modify system-generated results enabling flexibility and collaboration across organizations. Therefore, the solution is deployed on a cloud platform like AWS or Azure for easy management and scalability and can be customized for an on-premises deployment based on requirements. Additionally, the solution also enables Sales and Operations Planning with Advanced Augmented Analytics supporting voice-based search and simulation, auto-recording of Minutes of Meeting’, and collaboration.
Powered with AI/ML Algorithms, processes & routines to handle internal & external influential parameters, aptplan delivers highly accurate demand plans for better business and decision making.
- Easy Integration with any ERP
- AI/ML Algorithms and Analytics
- Integrated planning data models with data mapping
- Managing Internal and External Factors that influence the sales
- Auto Forecast with complete batch scheduling
- Turbo Data Preparation for unstructured external parameters
- Simulation and What-if Analysis for Scenario Planning
- Post Planning Analysis
Versatile deployment platform options for a new-age Supply Chain Planning solution, highly scalable to support business growth
- On-Premise
- IBM Power
- AWS Cloud
- MS Azure Cloud
- Google Cloud
- Vertica
- Any Database
Industry specific supply chain planning solutions - Rapid configuration and implementation tailored to meet your requirements. Quicker deployment using our data and AI accelerators.
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