Deliverect Unveils AI Agent Library to Streamline Restaurant Operations and Improve Advertising and marketing Effectivity


The AI Agent Library connects to Deliverect’s MCP servers and n8n’s no-code automation engine, enabling eating places to behave on real-time information from their POS, supply companions, CRM programs and advertising platforms.


12.14.2025

Deliverect, the worldwide food-tech SaaS firm reworking restaurant and retail operations, in the present day introduced the launch of its AI Agent Library, the primary library of plug-and-play synthetic intelligence brokers designed particularly for the restaurant trade.

Developed in partnership with workflow-automation chief n8n and piloted by KFC, the AI Agent Library permits eating places to combine clever brokers immediately into their workflows to automate decision-making, optimize preparation instances and elevate operational efficiency and advertising effectiveness throughout channels.

The AI Agent Library connects to Deliverect’s MCP servers and n8n’s no-code automation engine, enabling eating places to behave on real-time information from their POS, supply companions, CRM programs and advertising platforms.

At launch, seven AI agent templates might be out there, centered on key use circumstances together with:

  • Order throttling to take care of optimum common preparation instances
  • Menu optimization to spice up digital gross sales
  • Good advertising automation for larger engagement
  • Visitor-support escalation to ship sooner, extra constant service

Eating places can duplicate and customise every agent to swimsuit their model, operations and channel combine, unlocking automation while not having in-house AI improvement.

KFC pilot drives 118% gross sales uplift seamlessly with AI Agent 

KFC was the primary model to deploy Deliverect’s AI agent capabilities, utilizing the Dynamic Promotion Agent to energy its “Secret Field Meal” marketing campaign for a pilot within the Netherlands.

The activation invited company to unravel an internet treasure hunt to unlock a free Field Meal. As soon as a participant discovered a code, the AI Agent—constructed via Deliverect’s MCP server and n8n’s workflow engine—routinely generated and activated the reward in KFC’s ordering app.

The outcomes had been instant:

  • Over 1,000 promotional codes generated inside hours of launch
  • A 118% uplift in gross sales on the marketing campaign day
  • Absolutely automated marketing campaign administration with zero handbook intervention

“This was one in every of our quickest and best digital activations,” mentioned Oussama Badidi, Digital Director,  KFC Netherlands. “Deliverect’s AI brokers allowed us to automate all the promotion, from detection to supply, making a seamless expertise for our company whereas driving actual enterprise affect.”

“The restaurant trade is coming into an age of clever automation,” mentioned Zhong Xu, co-founder and CEO of Deliverect. “We’ve already related hundreds of thousands of orders via our platform, however now we’re serving to eating places act on that information in actual time. In partnership with n8n, our AI Agent Library provides each QSR operator entry to scalable, customizable automation that may make proactive selections throughout gross sales, operations and advertising. That’s a primary, and transformative for the trade.”

The AI Agent Library is designed for international enterprise deployment, with ISO-compliant governance, role-based entry, audit logs and per-location guardrails. Brokers will be rolled out throughout a whole bunch of shops in days via Deliverect’s safe MCP APIs and n8n’s visible workflow builder.

The AI Agent Library is on the market instantly to eating places utilizing the Deliverect platform. All public templates might be out there for instant deployment and charged on a utilization foundation. Along with current templates, eating places may also be capable to design their very own bespoke brokers utilizing the platform to deal with their particular wants and customise to their very own distinctive use circumstances.





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