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The Living Profile

A Living Profile is ABRA’s core innovation: a dynamic, ever-growing record of everything your hotel knows about a guest.

What Makes It “Living”

Traditional hotel systems store static guest records - name, email, loyalty number. A Living Profile is different:

Grows Over Time

Every interaction adds to the profile

Aggregates Sources

Combines PMS data, staff observations, and AI insights

Travels Across Stays

Information persists and resurfaces on future visits

Actionable

Surfaces relevant information at the right moment

Anatomy of a Living Profile

┌─────────────────────────────────────────────────┐
│  GUEST PROFILE                                  │
├─────────────────────────────────────────────────┤
│  Bio                                            │
│  ├── Name, Contact, Demographics               │
│  └── VIP Status                                │
├─────────────────────────────────────────────────┤
│  Preferences                                    │
│  ├── Room: King bed, high floor, quiet         │
│  ├── Dietary: Vegetarian, nut allergy ⚠️        │
│  └── Service: Late checkout, extra pillows     │
├─────────────────────────────────────────────────┤
│  Celebrations                                   │
│  ├── Birthday: March 15                        │
│  └── Anniversary: June 22                      │
├─────────────────────────────────────────────────┤
│  Nuggets                                        │
│  ├── "Training for Boston Marathon"            │
│  ├── "Daughter just started college"           │
│  └── "Loves craft cocktails"                   │
├─────────────────────────────────────────────────┤
│  Stay History                                   │
│  ├── 12 stays over 3 years                     │
│  ├── Avg length: 2.3 nights                    │
│  └── Last stay: Oct 2024                       │
├─────────────────────────────────────────────────┤
│  Hurdle History                                 │
│  └── 1 issue (resolved): AC repair, Sept 2024  │
├─────────────────────────────────────────────────┤
│  Wow Moments                                    │
│  └── Surprise birthday cake, March 2024        │
└─────────────────────────────────────────────────┘

Data Sources

Living Profiles are built from multiple sources:

1. PMS Integration

  • Reservation details
  • Room preferences from booking
  • Loyalty tier and history
  • Reservation notes (processed by AI)

2. Staff Input

  • Nuggets captured during interactions
  • Preferences observed or stated
  • Celebrations discovered
  • Hurdles logged

3. Guest Input

  • Pre-arrival surveys
  • In-stay feedback
  • Post-departure surveys

4. AI Processing

  • Extraction from reservation notes
  • Pattern recognition across stays
  • Preference inference

Profile Provenance

ABRA tracks where each piece of information came from:
SourceReliabilityExample
Guest-statedHighest”I’m allergic to shellfish”
Staff-observedHighNoticed guest always requests extra towels
PMS-syncedMediumReservation note mentions anniversary
AI-inferredLowerPattern suggests preference for quiet rooms
This helps your team prioritize which information to trust and act on.

Using Living Profiles

Before Arrival

  • Review upcoming guest profiles
  • Note celebrations occurring during stay
  • Prepare for known preferences
  • Identify VIP guests needing special attention

During Check-In

  • Greet by name with relevant context
  • Confirm preferences are set up
  • Mention any celebrations
  • Reference previous stays (“Welcome back!”)

Throughout the Stay

  • Add new nuggets as you learn them
  • Log any hurdles immediately
  • Record wow moments created
  • Update preferences as needed

After Departure

  • Profile persists for next visit
  • All new information is preserved
  • Analytics track guest lifetime value
Living Profiles can be linked to show relationships:
  • Spouse/Partner - Traveling together, shared preferences
  • Family - Children, parents, siblings
  • Business - Colleagues, assistants
  • Companions - Friends, travel groups
This helps your team understand who’s traveling together and personalize accordingly.

Next Steps