Mobility Forecaster

Use machine learning to help you forecast assignment costs with speed and ease.

Mobility Forecaster
Whether you’re looking to fill a skills gap in one of your overseas offices, or providing talent development opportunities through international experience, global assignments are an important part of how many businesses operate today.

They can also be incredibly costly, and as such, being able to predict the cost of an assignment is an essential budgeting requirement for all businesses. Doing this quickly and accurately, however, has proven to be a challenge for many businesses, with estimates often varying considerably from actual costs.

Mobility Forecaster has been designed to transform this process. By bringing together our tax experts and our data scientists, we’ve been able to create a product that uses machine learning models to provide accurate cost projections at the touch of a button. It also provides you with a powerful analytics tool so that you use your data to make more strategic assignment decisions.

Benefits

Improve accuracy

Improve accuracy

Cost projections are up to 10x more accurate than existing methods, improving business operations and financial forecasting.

Make better strategic decisions

Make better strategic decisions

Easy comparison of different candidates and different mobility policies helps you to quickly understand the impact of your decisions before you make them.

Real cost comparisons

Real cost comparisons

Ability to run analytics on historical data to compare what has been predicted vs actual costs.

More fulfilling work

More fulfilling work

Time freed up from manual cost calculations can be spent on more strategic matters, such as determining which employees should be sent where and why.

Save time

Save time

Quick and easy to revise cost projections multiple times.

Features

Calculations available on individual and business unit basis
Costs calculated instantly
Machine learning models
Unlimited data storage and access on demand
Model enhancements overtime to further improve accuracy

How it works

Mobility Forecaster combines all historical global compensation data and external data sets (e.g. GDP, cost of living) to provide the base information for modelling.
The user logs into the interface and selects demographics (e.g. size of family, whether accompanied by spouse, the policy type they’re on, salary costs etc).
Through machine learning Mobility Forecaster then determines what allowances the individual should receive and what the inputs should be for the tax and equity engines.
With these inputs the calculator determines what the tax impact is for this assignment. If the individual has shares within the organisation any impact on equity is also calculated.
All of the calculations are brought together to provide an accurate total assignment cost prediction. You can optimise these calculations by changing the variables in the data such as selecting a different individual to go on assignment or recommending a different package etc.

Get in touch

Quick and accurate assignment cost predictions at the click of a button.

Get in touch