iForecast - Demand Collaboration


iForecast is cloud based demand forecasting and inventory optimization solution under the Azure. Support OEM or Distributor manage SKU/Spare parts by demand forecast, increase sales revenue and optimize the SKU inventory in supply chain network, reduce the sales loss due to out of stock.

What does it bring to you


Inventory Cost


Fill Rate


  • Low inventory turn
  • Over stock
  • Sluggish inventory amount


  • Lack of goods
  • Long waiting time for goods
  • Sales loss

Critical Issue

How to balance the inventory and demand

How to balance the inventory cost and fill rate?

iForecast features Simple to Operate, Immediate use now

Demand Forecasting

Embedded 10 forecast methods or choose the best automatically

Inventory Planning

Calculate Safety Stock, Re-Order Point, EOQ, Stock Max base on statistical models

KPI Mornitoring

Mornitoring forecast accuracy, inventory turn rate & inventory status

Analytics and Reports functions

Demand exception & inventory repots that can be exported and customized


Benefit 1. Keep the fill rate, lower stock level

Benefit 2. Keep the stock level, improve fill rate


  • Sales Analysis for front store
  • KPI tracking including fill rate, supply lead time etc.
  • By Store/Product/Demand type forecasting
  • More than 10 forecast modeling
  • Dynamics forecast visualization
  • Automatic summary by hits and number
  • Using existing historical data for model matching
  • MAD, MAPE, RMSE error calculation method
  • 10 candidate forecasting models can be configured
  • Automatically selects the best fit forecast model according to the minimum error
  • Error calculation time window can be configured
  • Safety stock calculation based on the fill rate target
  • Consider the fluctuations of supply and demand lead time
  • Industry standard urgent order quantity calculation
  • Flexible customer defined maximum, minimum values
  • Visualization of inventory structure

Technology Architecture


Microsoft cloud infrastructure

  • Automatic deployment
  • Elasticity
  • Data security
  • Automatic fault recovery

SaaS enable

  • Multi tenant design
  • Data security isolation
  • To increase the planned network points
  • Lowest cost

Big data enable

  • Memory database acceleration
  • Data mining analysis
  • Visualization
  • Customized report

Data Security

There are multiple tools within Microsoft Azure to safeguard data according enterprise security and compliance needs. Data are not held in the same place and broken up into different places:

  • Data in production
  • Data not in production.
  • Data In-Transit
  • Data In-Use

In addition, there are encryption, malware detection, firewalls, 24/7 monitoring and disaster recovery initiatives in place.