Darden Restaurants, Inc.DRI is increasingly using artificial intelligence and forecasting tools to improve the efficiency of its restaurant operations. The company continues to focus on a people-first model, but technology helps leaders make smarter, faster decisions.
One of the main benefits is improved demand forecasting. AI-based systems help predict customer traffic more accurately, allowing managers to schedule the right number of employees and plan food inventory more efficiently. This reduces waste, avoids shortages and ensures smoother service during peak and off-peak times.
The company also uses these tools to simplify daily operations. Automated planning and predictive controls reduce manual effort and improve consistency across locations. This helps to increase labor productivity and keep costs under control, even in a challenging environment marked by inflation and changing demand.
Beyond restaurants, AI is improving efficiency at the business level. It is used to speed up repetitive tasks, accelerate project execution, and improve technology development. This allows Darden to deploy improvements more quickly across its vast network.
The company is not using AI to replace its employees. Instead, Darden is focused on supporting his staff and improving execution. With most of its employees working in restaurants, human interaction remains at the heart of the company.
Overall, AI and forecasting tools help Darden operate more efficiently while maintaining high quality of service. These technologies are becoming an important driver of productivity, cost control and long-term growth.
Peers use AI and forecasting to improve efficiency
Two major peers of Darden Restaurants are McDonald’s CompanyMCD And Yum! Brands, Inc.YUMis actively investing in AI-based tools to improve restaurant efficiency.
McDonald’s leverages AI and data analytics to improve demand forecasting, optimize inventory and improve kitchen operations. Its technology initiatives focus on real-time decision-making, helping to reduce waste and streamline service across McDonald’s vast global footprint. AI is also used to improve equipment availability and operational consistency.
Yum! Brands is advancing a centralized AI ecosystem through its Byte platform, which integrates forecasting, work scheduling and inventory management. The platform uses machine learning to guide restaurant managers in staffing and operational decisions, similar to Darden’s approach, but on a broader, system-wide level.
While Darden focuses on equipping managers with better forecasting tools, peers like McDonald’s and Yum! Brands are developing AI across the entire restaurant ecosystem to improve efficiency, consistency and margin expansion.
DRI Performance, Valuation and Price Estimates
Shares of Darden have gained 5.6% over the past six months, compared with the industry’s rise of 2.7%.
DRI One-Year Price Performance
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From a valuation perspective, DRI trades at a forward price-to-earnings (P/E) multiple of 17.55, down from the industry average of 23.78.
DRI’s P/E ratio (forward 12 months) relative to the industry
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The Zacks Consensus Estimate for DRI’s fiscal 2026 earnings per share has increased over the past 30 days.
The company is expected to post strong earnings, with projections pointing to an 11.1% rise in fiscal 2026.
Image Source: Zacks Investment Research
DRI currently has a Zacks Rank #3 (Hold). You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.
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This article was originally published on Zacks Investment Research (zacks.com).