'foreseen changes' is correct and usable in written English.
You can use it to refer to changes that have been anticipated before they actually occur. For example: "The company had planned for any foreseen changes in the market."
We compared the present land use situation in Cerdanya and Alt Urgell with foreseen changes in a near future grouped in two management scenarios.
Foreseen changes in climate change and socioeconomic developments18,19,20,21,22,23,24,25,26,27,28 are expected to amplify the observed trends and to reinforce the observed pattern of winners and losers.
From these scenarios, it is clear that the foreseen changes in pharmacy practice will potentiate the development of new roles for Portuguese community pharmacists in the future health care system.
In December 1989, William Ramirez, then Chief of the Main Library, wrote a memo objecting to the foreseen change "from a strong reference, research resource and service center to an undistinguished 'popular library.'" Many of Dowlin's employees have resisted the change, protecting books by hiding or falsely stamping them.
Simulation can help foresee changes on the shop floor when demand changes.
The companies didn't foresee changes in end-user behavior or understand their market's saturation point.
Patrons foresee changes on a magnitude not seen since the decade of Gérard Mortier, who succeeded the conductor Herbert von Karajan and is remembered for tweaking the old guard with cutting-edge opera productions and occasional jibes in the press.
Mr. Roberts said in interviews that he did not foresee changes to the NBC affiliate structure, but was not specific about how far into the future he could see.
This, I suppose, is the tendency of prophets to see reasonably well so long as present trends continue, but to fail to foresee changes of direction, such as they way travel technology developed rapidly throughout the 20th century, then stalled giving way to communications technology.
The same number of respondents foresaw changes in customer behavior creating disruption.
By collecting, normalizing, enriching, and connecting data that was previously siloed, these applications can recognize unseen patterns, foresee changes in demand, iron out manufacturing bottlenecks before they arise, and even replenish raw materials based on past purchasing patterns.
