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Solver strengthens the financial planning of restaurant chains through artificial intelligence

Solver launches a financial and operational planning offering for multi-site restaurant chains. Its platform unifies financial and business data, automates planning cycles, detects cost variances and leverages Solver Copilot to produce predictive analyses and insights, notably through integration with Microsoft Dynamics 365.

planification financière IA Solver
planification financière IA Solver

Solver has announced the launch of a new offering dedicated to the restaurant industry. Designed for multi-site groups, this solution aims to address the growing financial and operational management challenges in an environment marked by high cost volatility.

Between inflation in raw material prices, pressure on labor costs and the complexity of multi-unit operations, restaurant businesses are now operating in a particularly demanding environment. The proliferation of systems—point-of-sale, inventory management, human resources and ERP systems, among others—often makes it difficult to access a consolidated and reliable view of performance.

 

A unified approach to finance and operations

With this new solution, Solver aims to move beyond the limitations of traditional financial reporting. The objective is to reconcile financial and operational data within a single platform capable of providing a real-time view of business activity.

At the heart of this approach is Solver Copilot, an artificial intelligence layer that automates analyses, identifies significant variances and generates predictive insights. This advanced analytical capability is designed to facilitate decision-making for both finance leaders and operational managers in the field.

 

Three performance levers for restaurant groups

The solution is built around several key areas:

  • Accelerating planning processes: through automated cycles (particularly 4-4-5) and simulation models, finance teams can reduce their reliance on Excel files and focus more on analysis.
  • Managing costs at the unit level: automated variance identification makes it possible to quickly detect deviations related to food costs or payroll and take appropriate action.
  • Centralizing data: by integrating with solutions such as Microsoft Dynamics 365, the platform consolidates all data from the various business systems to provide a single source of truth.

 

A response to an industry under pressure

According to projections from the National Restaurant Association, the restaurant industry is expected to reach $1.55 trillion in revenue in 2026, while continuing to contend with particularly thin margins. In this context, the ability to manage costs precisely and respond quickly to changes is becoming a key competitive factor.

Solver’s proposed solution aligns with this trend by extending planning and analytical capabilities beyond the finance function, making them accessible to all operational stakeholders.

 

Artificial intelligence-enhanced planning

With this announcement, Solver confirms its intention to position artificial intelligence as a central lever for transforming management processes. By combining automation, modeling and predictive analysis, the platform aims to help organizations turn their data into a lasting strategic advantage.

In an industry where every decision can directly affect profitability, this development marks a further step toward more agile, connected and action-oriented planning.

 

source: Solver

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