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

Balance

Fill Rate

Issue

Low inventory turn
Over stock
Sluggish inventory amount

Result

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

Benefit 1. Keep the fill rate, lower stock level

Benefit 2. Keep the stock level, improve fill rate

功能简介

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.

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