Restaurant operators collect large volumes of transactional and operational data on sales, pricing, staffing, inventory, loyalty, and related services. Although often overlooked, this data can be used to improve menu optimization, inventory segmentation, labor management, customer experience, and marketing projects. Recent technological advances enable the automatic identification of relationships, patterns, and trends across multiple restaurant digital touchpoints. Research indicates that operators who apply proven data analytics often gain a competitive advantage while increasing profitability. As the 2025 Restaurant Dive AT&T Business Report states, some operators are beginning to embrace real-time data as a trusted way to monitor conditions and identify risks before they become problematic. Despite this potential, only a fraction of operators appears to be implementing intelligent models that transform data into actionable insights.
Analytics addresses the rising demand among operators for smarter, data-driven decision-making tools that enhance order management and production, leading to improved customer engagement and revenue. To fully capitalize on the value of data analytics, operators must implement robust systems for data collection, integration, and examination. This involves capturing accurate data from diverse sources such as POS systems, online ordering platforms, and loyalty programs for meaningful evaluation. By leveraging these capabilities, operators can uncover corrective changes that drive operational improvements and foster innovation across various aspects of the business. Basically, proper analytics can provide a basis for optimizing restaurant operations, controlling food costs, and improving customer satisfaction.
Read the full white paper on your member dashboard
Share this
