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Using data to industrialize the personalization of customer relations

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  • Using data to industrialize the personalization of customer relations

The Customer

International hotel group

Background and objectives

  • In an aggressive competitive environment, the need to radically evolve the customer experience based in particular on satisfaction and preferences
  • Need to share data collected locally to maximize the multi-brand / multi-country offer thanks to the "customer file".
  • Central service production, with a promoting the new offering to hotels (invoicing of new services / additional sales)
  • Heterogeneity of establishments (size, range, types of customer and expectations, etc.).

Results

  • 165,000 "customer files" collected and cross-referenced
  • Personalized recommendations generate an average of 30% in additional business
  • Enhanced customer loyalty thanks to personalized service
  • Refocusing receptionists on their core business: greeting and interacting with customers, with added business value linked to customer preferences.

Approach / System

  • Interconnection of PMS data (hotel management system) Customer and data cross-referencing
  • UX approach to define and display appropriate data according to user (personalization) and time/device (contextualization)
  • Drawing up the data dictionary for the customer file / Structuring data governance / Legal compliance (RGPD)
  • POCs to test the relevance of the data used (raw and calculated, e.g. tracking preferences and customer experience)
  • Operational support for CRM & IT teams in the creation and deployment of customer files

Added value Silamir Group

  • A global approach led by a multidisciplinary team (Change, Tech, Design) to cover the entire project
  • Managing and sustaining business/IT collaboration

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  • Our offers
    • Process Performance
    • Strategic and Financial Performance
    • Technological Performance
    • Customer Excellence
  • Partners
    • Microsoft
    • Salesforce
    • AWS
    • Celonis
    • UiPath
    • Pigment
    • Zilliant
  • Expertise
    • Data & BI
    • IA
    • Strategy and Transformation
    • Cloud
    • Microsoft
    • Cybersecurity
    • Run and Operate
    • Enterprise Performance Management
    • Learning Solutions
    • PPM
  • Sectors
    • Insurance & Mutuals
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    • Industry
    • Mobility & Logistics
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