Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
DemandPlanner facilitates the creation of precise sales and demand projections for your products and retail locations, taking into account customer and market fluctuations. As a category planner, you benefit from enhanced visibility, allowing you to devise optimal replenishment and inventory strategies. The tool provides reliable sales forecasts by evaluating the effects of numerous external factors that impact product demand. Utilizing sophisticated quantitative analytics methods, such as Bayesian regression, machine learning, and time series analysis, DemandPlanner generates well-informed estimates for both short-term and long-term periods. Its collaborative functionalities simplify the demand planning process while ensuring that replenishment, procurement, and inventory management are effectively optimized. By leveraging advanced predictive analytics models, you can accurately assess and comprehend customer demand trends for your products. Additionally, it enables you to effectively manage the net working capital invested in inventory through meticulous, data-driven strategies that enhance overall operational efficiency. Ultimately, DemandPlanner empowers businesses to adapt swiftly to changing market conditions while maintaining alignment with customer preferences.
Description
MPCPy is a Python library designed to support the testing and execution of occupant-integrated model predictive control (MPC) within building systems. This tool emphasizes the application of data-driven, simplified physical or statistical models to forecast building performance and enhance control strategies. It comprises four primary modules that provide object classes for data importation, interaction with real or simulated systems, data-driven model estimation and validation, and optimization of control inputs. Although MPCPy serves as a platform for integration, it depends on various free, open-source third-party software for model execution, simulation, parameter estimation techniques, and optimization solvers. This encompasses Python libraries for scripting and data manipulation, along with more specialized software solutions tailored for distinct tasks. Notably, the modeling and optimization tasks related to physical systems are currently grounded in the specifications of the Modelica language, which enhances the flexibility and capability of the package. In essence, MPCPy enables users to leverage advanced modeling techniques through a versatile and collaborative environment.
API Access
Has API
API Access
Has API
Integrations
Python
Ubuntu
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Demand Planner
Founded
2017
Country
India
Website
www.predictyoursales.com
Vendor Details
Company Name
MPCPy
Country
United States
Website
github.com/lbl-srg/MPCPy
Product Features
Demand Planning
Capacity Planning
Data Visualization
Historical Reporting
Inventory Optimization
Planned vs Actual Tracking
Product Introduction Planning
Promotions Management
Replenishment Management
Sales Forecasting
Supply Forecasting
Sales Analytics
Collaboration Tools
Dashboards
Forecasting Analytics
Ideal Customer Profile (ICP)
Lead Analytics
Pipeline Management
Predictive Forecasting
Predictive Lead Scoring
Sales Intelligence Reporting
Sales Forecasting
Competitor Analysis
Correlation Analysis
Dashboard
Dynamic Modeling
Exception Reporting
Graphical Data Presentation
Modeling & Simulation
Performance Metrics
Sales Trend Analysis
Statistical Analysis