Sentence examples for adjust its strategy from inspiring English sources

The phrase "adjust its strategy" is correct and usable in written English.
You can use it when discussing changes or modifications to a plan or approach in various contexts, such as business, marketing, or personal development.
Example: "In response to the changing market conditions, the company decided to adjust its strategy to better meet customer needs."
Alternatives: "revise its approach" or "modify its plan."

Exact(22)

FleetBoston said it might "adjust its strategy" in the country, which defaulted on debt and devalued its currency.

But it has had to adjust its strategy to keep its revenue and profit growing.

Now, given the following game model, each user is able to adjust its strategy according to the belief it has about the strategy of the other user.

But he managed to drive up the price of Equity Office by $3 billion, forcing Blackstone to adjust its strategy and sell more buildings than it originally intended to.

And while AS' framing of its struggle in global terms may be a cynical ploy to gain resources and attention, it does mean the group will adjust its strategy to fit the frame.

A slower rollout of stores, the model that worked so well for J. Crew, might have helped it to gain experience in the market and adjust its strategy before expanding further.

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Similar(38)

The IT unit was instrumental in the success of this enterprise and showed great flexibility to constantly adjust its strategies to address the multiple constraints encountered.

But reflecting a more cautious market, it is adjusting its strategy on speculative building.

Give Microsoft credit for realizing that the game has changed and adjusting its strategy so that it can still be a player.

The model is built to maximize this value and over many iterations it improves by continuously adjusting its strategy.

The first formulation is meta learning for reinforcement learning, where the task is specified through a reward function, and the agent needs to improve its performance by acting in the environment, receiving scalar reward signals, and adjusting its strategy according to the information it receives.

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