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AWS reference architecture

Reservation management and upsells

A AWS reference architecture for reservation management and upsells in Hospitality. Triggered by new booking or rate change across channels, Padiso orchestrates 3 specialist agents on Amazon Bedrock AgentCore, reaching channel manager / ota sync and your tools through the Model Context Protocol, with budgets, approvals and an audit trail throughout.

AWSRuntime: Amazon Bedrock AgentCore

Trigger

New booking or rate change across channels

Hospitality

Orchestration

Padiso

Padiso Orchestrator

goals · tasks · heartbeat

Governance

budgets · approvals · audit

Runtime & agents

Agent runtime

Amazon Bedrock AgentCore

Concierge agent

agent

Reservations agent

agent

Operations agent

agent

Integrations · MCP

MCP gateway

salesforce
slack
google-drive
notion

Your systems

Channel manager / OTA sync

Property Management System (PMS)

Revenue management

How the data flows

Trigger: New booking or rate change across channels

  1. 1

    Reservations agent normalizes the booking and checks for overbooking or rate parity issues

  2. 2

    It syncs availability across the channel manager and OTAs

  3. 3

    Upsell agent offers relevant add-ons within pricing rules

  4. 4

    Conflicts (double-books, parity breaks) are flagged for the revenue team

Agent team

  • Concierge agent
  • Reservations agent
  • Operations agent

Integrations

salesforce
slack
google-drive
notion

Reached through the Model Context Protocol, scoped and governed.

Runtime & data

Amazon Bedrock AgentCore

Channel manager / OTA sync

Property Management System (PMS)

Revenue management

Security & operational considerations

  • Idempotent sync to avoid double-booking under load
  • Rate-parity rules enforced per channel
  • Approvals on overrides beyond set thresholds

AWS deployment

Deployed in your AWS account on Bedrock AgentCore, with IAM scoping, PrivateLink to your VPC, and CloudTrail/CloudWatch for audit and observability.

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