Solver Launches AI Financial Planning Platform for Multi-Unit Restaurants

Solver has launched a new AI-powered extended financial planning and analysis (xFP&A) solution tailored for restaurant operators, aiming to improve unit-level cost visibility and multi-location financial management. Announced on April 14, 2026, the platform is designed to support both quick-service and full-service restaurant groups operating in increasingly complex and cost-sensitive environments.

The new solution addresses operational and financial challenges faced by multi-unit restaurant businesses, where fragmented data systems often delay decision-making. By integrating financial and operational data into a single platform, Solver aims to enable faster planning cycles, improved margin control, and real-time performance insights across restaurant networks.

AI Platform Targets Multi-Unit Financial Complexity

Restaurant operators are managing rising food and labor costs alongside operational complexity driven by multiple locations and disconnected systems. Data typically resides across point-of-sale (POS), inventory, labor management, supplier, and ERP platforms, requiring manual reconciliation and limiting timely analysis.

The Solver xFP&A platform consolidates these data sources into a unified system, providing finance teams and operational leaders with a comprehensive view of performance. The integration allows users to analyze financial metrics alongside operational drivers, improving decision-making across departments.

According to the company, the platform is designed to function as a single source of truth, enabling CFOs, COOs, and regional managers to access consistent and up-to-date data across all locations.

Focus on Prime Cost and Margin Optimization

A key feature of the solution is its focus on prime cost management, which includes both food and labor expenses, two of the largest cost components in restaurant operations. The system uses automated variance detection to highlight cost fluctuations by location, time period, and category.

This functionality allows operators to quickly identify issues such as rising ingredient costs, labor inefficiencies, or underperforming menu items. By providing real-time insights, the platform supports faster corrective actions to protect margins.

The system also enables contribution margin analysis at the unit level, giving operators a clearer understanding of profitability across individual outlets.

Automated Planning and Scenario Analysis

Solver’s solution replaces traditional spreadsheet-based planning processes with automated workflows, including 13-period (4-4-5) financial planning cycles. The platform supports new unit modeling and scenario-based forecasting, allowing operators to evaluate expansion strategies and operational changes more efficiently.

Driver-based planning tools further enhance forecasting accuracy by linking financial outcomes to operational variables such as sales volumes, labor scheduling, and menu mix.

These capabilities aim to reduce manual workload for finance teams while improving the accuracy and speed of planning and reporting processes.

Integration and Industry-Specific Templates

The platform integrates with major ERP systems such as Acumatica, Microsoft Dynamics 365, and Sage, as well as other restaurant-specific data sources. This connectivity enables seamless consolidation of financial and operational data across the technology stack.

Solver’s offering includes more than 70 configurable templates designed specifically for the restaurant sector. These include dashboards and reports such as Same-Store Sales (SSS), Prime Cost Variance, Menu Engineering, and Labor Sensitivity analysis.

The availability of pre-built templates is intended to accelerate implementation and allow operators to deploy industry-specific reporting tools without extensive customization.

Industry Context and Market Pressures

The launch comes as the restaurant industry faces increasing financial pressure. According to the National Restaurant Association’s 2026 State of the Restaurant Industry report, the sector is projected to reach $1.55 trillion in sales and employ approximately 15.8 million people in 2026.

Despite its scale, the industry operates on narrow margins, making efficient financial planning and cost control critical. Rising input costs and operational volatility have increased the need for real-time insights and data-driven decision-making tools.

Solver’s platform positions itself within this context by extending financial planning capabilities beyond traditional reporting, enabling operational teams to access and act on financial data in real time.

The company stated that its AI-driven Copilot layer enhances usability by delivering predictive insights and automated analysis across planning and reporting functions. This approach aims to bridge the gap between finance and operations, ensuring that decision-makers at all levels have access to relevant data when needed.

The introduction of this solution reflects a broader trend toward digital transformation in the restaurant sector, where operators are increasingly adopting integrated technology platforms to manage complexity, improve efficiency, and sustain profitability.