Sold by: Arhasi, AI with Integrity
Delivers a customized Model Context Protocol (MCP) server integration that allows digital menu platform operators to update daypart schedules using natural language. By mapping system hierarchies and store contexts into agent-accessible tools, AI agents can safely apply localized schedule changes and overrides. This solution eliminates manual user interface adjustments and reduces dependency on IT support tickets.
Overview
This professional services engagement delivers a customized Model Context Protocol (MCP) server integration designed to bridge generative AI capabilities with enterprise digital menu board and daypart scheduling platforms. Instead of navigating manual, multi-step UI changes or filing time-consuming IT support tickets, store operators and corporate managers can adjust daily menu schedules such as breakfast, lunch, and dinner timings using simple, natural language commands.
The platform works by exposing the parent digital menu system's complex organizational hierarchy and store context as secure, agent-accessible tools. This allows AI agents to intelligently resolve variables like brand concept, regional group, or store-specific overrides. With these tools, AI agents can safely interpret the operator's intent and apply precise schedule changes, ensuring localized timing adjustments are made without risking global menu errors.
This professional services offering is implemented using AWS services including Amazon ECS or AWS Fargate for hosting the secure MCP server gateway, Amazon Bedrock for natural language processing, AWS Lambda for serverless tool execution, Amazon API Gateway for secure API routing, and AWS Identity and Access Management (IAM) to enforce strict, role-based access controls over menu modifications.
Highlights
- Enable natural language daypart updates that allow restaurant managers to adjust breakfast, lunch, and dinner menu timings through conversational commands rather than manual UI changes.
- Expose secure, agent-accessible tools mapping complex digital menu board hierarchies to ensure AI agents safely resolve brand, concept, and localized store-specific contexts.
- Enforce safety overrides and guardrails that prevent accidental global scheduling conflicts while enabling flexible, site-specific timing overrides.
Details
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Deployed on AWS
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Email contactus@arhasi.com for support.
Receive 24/7 technical support for platform onboarding and operations. The standard tier includes email and portal support with a 4-hour response time for high-severity issues, while premium tiers offer dedicated solutions architects and phone support option