1. Onboarding tasks: For Mews properties, four tasks are completed in the Mews onboarding dashboard; Settings > Property > Onboarding dashboard > Atomize section, covering pricing scope and strategy inputs. 

2. System build: The Atomize technical team builds and validates the property's pricing model, typically around 5 working days after task completion. 

3. Credentials and review: Login credentials are emailed to the property; initial recommendations are reviewed together. 

4. Automation level: The property chooses advisory, semi-automatic or fully automatic mode and goes live. 

For Mews PMS properties: Typically, days to one week from completed onboarding tasks, with recommendations appearing within hours of pairing.  

Non-Mews PMS timelines vary with the integration. There is no RMS-to-RMS data migration; Atomize rebuilds its intelligence from PMS historical data. 

• Completed onboarding tasks, including base rates, floors and ceilings and rate relationships 

• Competitor set, with up to 5 competitors, configured in the Atomize dashboard under Competitor Settings 

• Any custom segment rules from a previous RMS, documented for the onboarding team to pre-configure 

Extended 24-month pricing and forecast horizon is available as a rate-setting add-on.  

How to purchase: Contact your account manager. 

For Mews properties, Atomize connects through the Mews ecosystem;  

For other PMS platforms, via the relevant PMS integration.  

Mews Marketplace catalogue: https://www.mews.com/en/hospitality-software-marketplace. 

A standalone web application with its own dashboard: pricing calendar, recommendations with explanations, forecasting views, budget comparison and competitor settings.  

For Mews properties, rates execute in Mews Operations automatically according to the chosen automation level. 

1. Review and approve price recommendations, or monitor automated pricing 

2. Track daily and monthly forecasts against budget 

3. Manage the competitor set, configure under Competitor Settings and review compset pricing 

4. Adjust pricing scope, floors and ceilings as strategy changes 

Feature releases: Continuous.  

Model updates: Ongoing.  

Security patches: As required, applied by Mews without advance notice. 

• Onboarding-led training plus product guidance from the Atomize team; support via [email protected]. 

• Competitor Rate Third Party Providers  

• Lighthouse  

• Aggregate intelligence  

This section sets out terms specific to Atomize RMS.  

1. The following restrictions apply specifically to the use of Atomize RMS by Partner, in addition to the general restrictions in the Acceptable Use Policy available at https://www.mews.com/en/legal/acceptable-use-policy: 

1. 1. Atomize RMS may not be used to provide revenue management services to third-party properties or hotel groups not contracted under the Agreement. Any use beyond the licensed Facilities is a material breach.

   2.  The Partner may not modify, reverse engineer, or replicate the pricing algorithms, model logic, or recommendation outputs of Atomize RMS. 

   3. Where the Partner selects the fully automatic pricing mode, it grants Mews prior authorization to implement price recommendations without further approval. The Partner remains responsible for setting appropriate pricing floors, ceilings, and scope constraints before enabling this mode.

   4. Access credentials issued for Atomize RMS are personal to the Partner and must not be shared with or transferred to third parties. The Partner is responsible for all activity under its credentials. 

2. Partner may elect one of three delivery modes, configurable in the Atomize dashboard: 

   1. Advisory mode, in which recommendations are displayed for Partner review and approval before any rate change is applied;  

   2. Semi-automatic mode, in which recommendations are surfaced for review with a defined approval window; or  

   3. Fully automatic mode, in which recommendations are applied directly to the connected PMS without further Partner action.  

Partner may switch between modes at any time through its account settings 

3. Atomize RMS by Mews is a decision-support tool. Mews does not warrant that use of the service will result in any increase in revenue, occupancy, ADR, RevPAR or any other performance metric. Recommendation quality depends on the volume and quality of historical data available from the connected PMS. Properties with limited booking history, or those that have recently migrated from another PMS, should expect a model warm-up period of typically four to eight weeks before recommendations reach full accuracy. This limitation does not constitute a defect in the service. 

4. Atomize RMS uses artificial intelligence and machine learning to generate pricing recommendations. Mews performs the service with the objective of supporting the Partner in optimizing revenue, but makes no representation, warranty, or guarantee that use of Mews RMS will result in increased revenue, improved occupancy, or any other specific commercial outcome. The accuracy, completeness, and suitability of any recommendation is not warranted. The Partner is solely responsible for the commercial decisions it makes, whether or not they are informed or influenced by Mews RMS outputs. Nothing in this clause limits the general warranty and AI use position in the Master Terms and Conditions available at https://www.mews.com/en/legal/mews-master-terms-and-conditions. 

5. The pricing model built for each property is based on that property's own historical data. Where a Partner migrates to a new PMS, the prior model is deprecated, and a new model is built from the data available in the new PMS. There is no model portability or migration between PMS environments 

6. To deliver and improve Mews RMS, Mews collects and processes data relating to the Partner's use of the service, including reservation data, rate data, and usage patterns. Mews handles this data as follows: 

1. 1. Reservation and rate data fed into the pricing model is processed in accordance with the Data Processing Addendum available at https://www.mews.com/en/legal/data-processing-addendum. Where such data includes personal data, the Data Processing Addendum governs.

   2. Mews may use aggregated, anonymized data derived from the Partner’s property, and from properties across the Mews platform to tune, calibrate, and improve the RMS pricing model and related AI capabilities. No Partner-identifiable data is disclosed to third parties in this process.

   3. Mews may publish anonymized industry benchmarks and trend insights derived from aggregated platform data. Such outputs do not identify the Partner or any individual property.

   4. The Partner must provide Mews with access to the data sources required for activation of Mews RMS, as described in section 2.4 of this document. Failure to do so can delay activation and does not constitute a service failure by Mews.

   5. For how AI is used within Mews, see the AI section in Platform Documentation https://help.mews.com/s/topic/0TOQC000002VvdZ4AS/ai-in-mews. 

7. Mews RMS incorporates competitor rate intelligence sourced from third-party market data providers; current list contained in clause 7.1 above. Where the Partner accesses this market intelligence functionality: 

1. 1. Use of the market intelligence functionality is subject to the relevant third-party provider’s terms of service, as published and notified by Mews from time to time. By activating this functionality, the Partner agrees with those terms.

   2. Mews does not warrant the accuracy, completeness, or timeliness of third-party market data. Availability of competitor rate data depends on the relevant provider and may vary by market.
   3. Third-party market intelligence is not covered by the Mews SLA. Unavailability of market data does not constitute a service failure by Mews and does not entitle the Partner to any service credit. 
   4. Mews may change the market intelligence provider on reasonable notice. Where a change materially affects the service, Mews notifies the Partner in accordance with the provisions of the Master Terms and Conditions. 
   5. Pricing model calibration updates, adjustments to algorithm weighting, demand signal integration, or model accuracy improvements are part of ongoing service delivery and do not constitute a material change to the service
   6. Partner is responsible for configuring its competitor set in the Atomize dashboard under Competitor Settings. No competitor data is displayed until Partner completes this configuration. The supported competitor set is up to five properties.