Leveraging Predictive Analytics to Enhance Mobility Success Rates
There’s a lot of talk about using predictive analytics across industry sectors, not the least of which is global mobility, an industry expected to be $30 billion in just a few years. It’s not an exaggeration to say that predictive analytics applications are transforming global mobility operations.
In fact, enhanced predictive analytics is one of four key ways that AI is reshaping global mobility, according to a recent Mobility News article published by WERC, formerly Worldwide ERC.
“Advanced AI algorithms will transform trend prediction and management in mobility. By foreseeing potential risks, challenges, and opportunities, companies will ensure smoother transitions and more effective planning for their global workforce,” writes HR professional Reena Bhatia. “AI-powered predictive analytics will help companies match up the preferences of Gen Z assignees, enhancing their overall experience.”
While she speaks in future tense, at CapRelo we already are seeing the power of predictive analytics through our CoreTech AI-powered technology. Let’s look at a few of the many ways predictive analytics is making meaningful improvements in global mobility.
Transferee Sentiment
Who among your HR global mobility peers hasn’t spent hours combing through transferee satisfaction surveys, post-transfer feedback notes and other disparate data to glean insight into transferee sentiment?
While it can be a laborious and time-consuming exercise to pull that data into one place, before AI’s predictive analytics tools, it was the only tool we had. It painted a picture of history – which types of relocations worked best, which tiers had the best experiences, and so on. But it couldn’t predict the future.
Now with CoreTech’s predictive analytics power, HR leaders no longer have to rely on surveys. It takes all the information your organization has gleaned though every interaction with a transferee – every survey rating, every concern or issue addressed, every exception. It then pulls all of that dispersed information together, and with it is able to predict what the future could look like. In other words, here’s what we have seen historically, and this is what we can expect if we keep this particular policy or category or type of transfer.
Cost Forecasting
In the same vein, AI-powered predictive analytics give HR teams strategic insight that enables smarter cost forecasting. HR leaders in KPMG’s 2025 Mobility Study said their number one challenge is ROI. “Cost management remains a consideration, but the focus has shifted to value and performance.”
No more need to create spreadsheets. CoreTech’s intelligent analytics answer those questions in real time. For instance, if we keep doing exceptions at this pace, here’s how much expenses will be by the end of next year or the next. Or, if we reduce or replace these high-cost services, we will save this much money while making little impact on transferee satisfaction.
Risk Management
Last year, the United Nations human rights chief issued an alarming message: “The world is at an especially dangerous moment in history, with disregard and disrespect for international law reaching a deafening crescendo.”
It is a message especially relevant to global mobility teams charged with safely and securely placing their transferees in destinations around the world. Certainly, employers have a legal and ethical responsibility to ensure the health and safety of the transferee and their family. The reality is that relocating employees around the world comes with risks.
Using predictive analytics, HR leaders can now identify regional risks before they materialize.
Market Trends
As CapRelo’s Chris Finckel noted last year, global mobility is getting more costly – and in some areas more so than others.
“While costs can vary based on location and the specific benefits offered, on average, relocations for home owners tally in at $85,466. Relocating a renter averages $33,532, says a recent Worldwide ERC Report.”
What if you could predict, based on current data, future trends by market? Forecast housing prices and living costs in specific regions? With intelligent tools like CoreTech, you can.
Are you ready to leverage predictive analytics?
The power of predictive analytics is, as Bhatia notes, leading to “more efficient operations and better support for globally mobile employees, ultimately contributing to improved business outcomes and employee satisfaction.” Isn’t that the goal we all share?
Whether your HR mobility team is seeking to better manage costs, improve transferees’ experience, provide better services more efficiently – or all of the above – CapRelo’s AI-powered CoreTech predictive analytics is your partner. We’re helping our clients transform how mobility is done.
Learn more about CoreTech and let us show you how it works first hand.
