Notes from the back office.
Field reports, playbooks, and product updates on running restaurants with agents — written by the team behind AgenticPOS.
How POS webhooks sync your restaurant data in real time
Understand how POS webhooks sync restaurant data in real time. Learn about event-driven mechanics, security best practices, and reliable integration methods.
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Top multi-location POS systems for restaurant groups
Compare top multi-location POS systems for restaurant groups like Spindl, Toast, and Square. Learn how to scale with centralized reporting and bulk updates.
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Solve the multi-location scheduling nightmare with AI
Streamline multi-location restaurant scheduling with AI. Connect POS data to automate labor forecasting, ensure legal compliance, and manage shifts via chat.
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How to roll out a new menu across multiple locations
Successfully roll out a new menu across multiple locations. Standardize SOPs, ensure FDA compliance, manage staff training, and automate POS updates with AI.
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Track the 4 restaurant KPIs that protect your cash flow
Track prime cost, food cost, labor, and RevPASH automatically. Protect your restaurant margins by using real-time POS data and AI to monitor cash flow daily.
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Automate restaurant workflows to protect your margins
Learn how to automate restaurant workflows to protect your margins. Streamline scheduling, inventory, and reporting using modern POS systems and AI tools.
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How restaurant automation cuts BOH operating costs
Learn how restaurant automation software cuts back-of-house costs by streamlining inventory and vendor management while using AI to simplify operations.
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What is an AI agent? The shift to automated operations
Understand the differences between LLMs and AI agents. Learn how autonomous systems use tool orchestration to automate complex restaurant POS operations.
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MCP vs function calling: Designing your restaurant AI stack
Compare MCP vs function calling for restaurant AI. Learn how to choose a scalable architecture to connect agents to POS systems and manage inventory reports.
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Understanding Model Context Protocol for restaurant POS
Explore Model Context Protocol (MCP), an open standard connecting AI to restaurant POS systems. Manage menu pricing, inventory, and operations via conversation.
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How to use AI customer segmentation to boost restaurant retention
Boost restaurant retention by using AI to segment guests based on order history. Target lapsed VIPs and daypart specialists to increase your marketing ROI.
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Cut restaurant food costs by 6% using AI POS inventory
Cut restaurant food costs by 6% with AI-driven POS inventory management. Leverage predictive forecasting and conversational tools to eliminate food waste.
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Why 26% of restaurants are turning to AI agents
Learn why 26% of operators turn to an AI agent for restaurant management. Automate inventory, marketing, and scheduling via text to reclaim manager time.
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What is an agentic POS? How AI runs your restaurant
Learn how agentic POS systems use autonomous AI to manage restaurant inventory, labor, and pricing, transforming back-office tasks into simple workflows.
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