GCPEvidence: Low40/100

Papa Johns builds voice ordering with Gemini Enterprise Agent Platform and a Food Ordering AI agent

Use case typeCustomer service agentUpdated Jun 16, 2026

Papa Johns International adopted Gemini Enterprise Agent Platform and the Food Ordering AI agent to let customers place pizza orders using natural language and voice with no taps required. The implementation sits on Google Cloud data infrastructure including BigQuery, CloudSQL, and Google Maps to support personalization, analytics feedback loops, and delivery tracking. Papa Johns says the approach aims to improve conversion, basket size, customer satisfaction, and ordering speed while also improving productivity and analytics quality.

Organization
Papa Johns International
Industry
Consumer & Food
Location
United States
Published
June 2026

Reported outcomes

Strategic outcomes

Customer experience & trustFaster voice-based orderingCustomer experience & trustImproved customer satisfactionEmployee experienceProductivity gainsBetter decisions & insightBetter analytics quality
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Papa Johns International
Provider
GCP
Maturity
Unknown

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 2 of 2

  • 1Customer service agent
  • 2Workflow automation
  • Reduce friction in the pizza ordering experience by improving speed, usability, and customer satisfaction.
  • Enable natural-language voice ordering and personalization without requiring taps.
  • Use analytics feedback to refine offers and the next customer experience.
  • Implemented Gemini Enterprise Agent Platform and the Food Ordering AI agent for multimodal voice ordering across mobile devices.
  • Used the agent to autonomously build shopping carts, provide recommendations, and look up relevant coupons.
  • Integrated ordering data into BigQuery for KPI tracking, micro-segmentation, and targeted offers.
  • Used CloudSQL and Google Maps as part of the ordering and delivery experience infrastructure.
Technologies
Gemini Enterprise Agent PlatformGeminiFood Ordering AI agentBigQueryCloud SQLGoogle Maps
  • Expected outcomes include increased conversion, increased basket size, improved customer satisfaction, and reduced time placing orders.
  • Papa Johns also reported productivity gains and improved analytics quality.
  • The feedback loop is intended to improve personalization and upsell opportunities in future orders.
Architecture

Papa Johns built voice ordering on Google Cloud using Gemini Enterprise Agent Platform and the Food Ordering AI agent together with BigQuery, CloudSQL, and Google Maps. The agent supports multimodal natural-language ordering, including voice, autonomously builds shopping carts, and executes consented actions. Ordering data feeds BigQuery to measure conversion and cart abandonment, create micro-segmented offers, and improve the next customer experience through analytics feedback loops. Google Maps supports delivery visibility for employees and customers.

Sources & evidence1
Evidence: Low40/100Evidence strength
  • Customer explicitly identified
  • Primary source available
  • Technical implementation details available
Type: Customer StoryPublished: Jun 16, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High
Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

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Customer evidence
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Provider evidence
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Market context
Consumer & Food AI use casesConsumer & Food industry insightsUnited States country insights
AI patterns
AgentVoice
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