About ForcastingPro
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ForcastingPro Details
Vendor
Mirnah Technology Systems
Year Launched
1992
Location
Al Olaya, Prince Muhammad Bin Abdulaziz Rd, Riyadh, Saudi Arabia
Deployment
on premise, windows
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Arabic
Users
Manager, Analyst, Planner
Industries Served
Manufacturing, Retail, Healthcare, Transportation, Hospitality, Energy
Tags
Demand Forecasting, Sales Planning, Inventory Management, Exponential Smoothing, Scenario Planning, ERP Integration, Budget Forecasting, Collaborative Planning, Capacity Alignment, KPI Dashboards
ForcastingPro's In-App Market Place
Does ForcastingPro have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
0
Mini Apps
Pricing Options
Free trial
Free version
Request a quote
Promo Offer
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), CNY (¥), SEK (kr), NZD (NZ$), KRW (₩), MXN (Mex$), SGD (S$), INR (₹), RUB (₽), ZAR (R), BRL (R$)
Pros & Cons
- Blends Algorithms with Human Insight
- Offers a combination of automated statistical forecasting and manual adjustments.
- Supports New Item Forecasting
- Includes tools to forecast demand for new products or customers through data inheritance.
- Flexible Time Horizons
- Forecasts can be generated for daily, weekly, or monthly planning.
- Collaborative Planning Environment
- Enables teams to work together on forecasts and share visibility across departments.
- Limited Public User Reviews
- Has low visibility in user review platforms, making independent validation difficult.
- No Advanced AI Features
- Relies primarily on traditional statistical methods without machine learning or deep learning capabilities.
- Limited Extensibility
- Doesn’t advertise robust API or plugin support for deeper customization.
- Language Support
- Interface is only available in English, which could be limiting for international teams.
- Primarily for SMBs
- Designed for small to mid-sized businesses, which may limit suitability for large-scale enterprise use cases.