Strategic Point of View · Prepared for Boyne Resorts

How Boyne Can Turn Real-Time Guest and Operational Data Into
Better Experiences, Stronger Revenue and More Efficient Operations.

It's turning what Boyne already knows into better decisions for every guest and every operating day.

Boyne has already invested in the data foundation. The next opportunity is converting that foundation into measurable revenue, EBITDA, guest experience and risk outcomes.

Where Boyne Stands Today

Boyne May Have Already Built the Hardest Part.

Data tells Boyne what happened. AI can help Boyne decide what to do next.

What Boyne Has Built

Publicly Observed

  • 11 source systems
  • 6 customer databases
  • Customer 360
  • Golden customer record
  • Azure
  • BoyneRewards
  • Cross-property guest relationships

The Opportunity

AI Decision Layer

Continuously answers: what to offer this guest, where demand will occur, how to staff, what may fail, where risk is rising.

What This Can Drive

Illustrative: Validate

  • Next Best Action
  • Demand Forecasting
  • Personalization
  • Workforce Optimization
  • Predictive Maintenance
  • Revenue Optimization
  • Operational Risk

"Data tells Boyne what happened. AI can help Boyne decide what to do next."

Boyne AI Opportunity Index · BAOI

Not All AI Is Equal.

Where should Boyne place its first bets?

Directional Executive-Planning Scores: Validate with Boyne Data

Guest Revenue / Next Best Action
88
Workforce & Demand Optimization
87
Employee AI / Copilot
82
Predictive Maintenance
78
Guest AI Concierge
77
Energy / Snowmaking Optimization
74
AI Risk / Ops Command Center
65

How the BAOI Is Weighted

45%Business Impact
20%Data Readiness
15%Speed to Value
8%Complexity
6%Security
6%Risk

Reverse scoring applies to complexity, security and risk. Scores are directional, based on public information.

The highest-value AI opportunity is not necessarily the easiest. The portfolio should balance quick wins with transformational bets.

The Big Bet · Guest Revenue / Next Best Action AI

Optimize Revenue Per Guest, Not Just Price Per Product.

BEFORE ARRIVAL
ARRIVAL
ON PROPERTY
DEPARTURE
NEXT VISIT

AI Inputs

Assumed: Validate

Golden profile

BoyneRewards

Purchase history

Reservation

Weather

Property capacity

Location

Inventory

Guest behavior

Propensity history

AI Next Best Action

Right offer · Right experience · Right time · Right channel

Possible Decisions

Upgrade lodgingLessonRentalDiningActivityRetailSpaAdditional nightBoyne PassportAnother destinationReturn offerNo offer

Do Not Optimize Clicks. Optimize:

Revenue Per GuestContribution Margin / GuestLifetime Value

From Customer 360 to Customer Action

BoyneDemandIQ: Turn Customer 360 Into Real-Time Revenue Decisions.

Boyne has spent years building a unified understanding of the guest. BoyneDemandIQ turns that understanding into an intelligent decision at the moment it can create the most value.

WHO?

Customer Intelligence

Customer 360Golden Guest RecordBoyne IDBoyneRewardsReservation HistoryPurchase HistoryResorts VisitedPreferencesDigital Engagement

WHERE + WHEN?

Real-Time Context

Current ResortGuest LocationWeatherSnow ConditionsTime of DayDay of WeekEventsCrowdingTrip StageCurrent Activity

WHAT TO SELL?

Commercial Context

Dining capacitySpa availabilityLesson inventoryRental inventoryActivity capacityLodging inventoryRetail promosOperating hoursRevenue targetsMarginStaffing

BOYNE | DemandIQ

AI Decision Engine

Propensity · Relevance · Capacity · Margin · Timing · Guest Experience · Frequency · Risk

NEXT BEST ACTION

Recommend ExperienceOffer UpgradeFill CapacityExtend StayBook Next VisitCross-Sell Another ResortRedirect DemandSuppress OfferDO NOTHING

Activate via: Boyne App · Push · SMS · Email · Web · Paid Media · Digital Signage · Guest Services · Employee Copilot

Customer 360 tells Boyne who the guest is. BoyneDemandIQ determines what Boyne should do about it.

Illustrative Example · Boyne Mountain

What Could BoyneDemandIQ Do at 3:42 PM on a Saturday?

The Guest

Family of four

  • 2 adults · 2 kids
  • Two-night stay
  • Skied since 9:00 AM
  • Purchased rentals
  • BoyneRewards
  • No dinner booked
  • No evening activity
  • Near the base area

Right Now

Real-time conditions

  • 3:42 PM, ski day ending
  • Avalanche Bay has capacity
  • One dining outlet is full
  • Another has open tables
  • Weather turns after 5 PM
  • Tomorrow is unbooked

Traditional Marketing

"20% OFF RETAIL"

Sent to 30,000 guests

Low context · Low relevance · Margin giveaway

BoyneDemandIQ

Best Next Action

Action: Family evening plan

Bundle: Activity + dining

Timing: Now

Channel: Boyne App push

Discount: None required

Why: relevance + open capacity

Don't measure the message. Measure the economic decision.

FROM batch campaigns and generic promotions → TO individual, real-time, margin-aware decisions

The EBITDA Play · Workforce + Demand Optimization

Predict Tomorrow's Demand Before Tomorrow Arrives.

Demand Signals

Assumed: Validate

Weather

Bookings

Occupancy

Ticket sales

Pass patterns

Events

Visitation trend

Day of week

School calendars

Dining bookings

Activity inventory

AI Demand Engine

Forecasts demand by property and daypart

Recommended Operating Demand

LiftsFood & BeverageGuest ServicesParkingRentalsHousekeepingRetailActivities

Reduce Overstaffing

Labor Cost / GuestOvertimeSchedule Accuracy

Prevent Understaffing

Capacity LossWait TimeGuest Satisfaction

One of the rare AI opportunities capable of improving cost, revenue and guest experience simultaneously.

The Fast Win · Employee AI / Copilot

Build AI Muscle Inside Boyne First.

Not the largest strategic opportunity, but likely the best first enterprise deployment. It builds capability where the risk is lowest.

Where It Applies

FinanceHRMarketingOperationsITLegalProcurementProperty LeadershipGuest Services

North Star Metric

Hours Returned to Employees

What Employees Do With It

  • Find information
  • Summarize
  • Analyze
  • Create
  • Automate
  • Prepare decisions
  • Reduce administrative work

Secondary Metrics

AdoptionTask completion timeEmployee satisfactionSupport reduction

Use internal AI to establish governance, adoption and trust before scaling high-value guest-facing AI.

The Portfolio

Three Horizons. Three Different Business Outcomes.

NOW

PRODUCTIVITY

Employee AI / Copilot

Measure

Hours returned per employee

BAOI 82

NEXT

EBITDA

Workforce + Demand Optimization

Measure

Labor cost per guest

BAOI 87

BIG BET

GROWTH

Guest Revenue / Next Best Action

Measure

Revenue + margin per guest

BAOI 88

90 DAYS6 MONTHS12+ MONTHS

Pilots can overlap. Horizons describe enterprise maturity, not permission to start.

Start with Productivity. Prove EBITDA. Transform Guest Economics.

The End State

An Intelligent Operating Layer for Boyne.

Experiences

Guest AppWebEmail / SMSResort EmployeesOperationsLeadershipDigital Channels

Boyne AI Decision Layer

Guest Revenue Agent
Guest Concierge
Demand Agent
Workforce Agent
Maintenance Agent
Operations Agent
Risk Agent

Boyne Data Foundation

Illustrative: Validate During Discovery

Customer 360Golden Customer RecordBoyneRewardsSalesforceAzureReservationsPOSLodgingRFIDMobileWeatherOperationsEquipment / IoT

Boyne does not need seven disconnected AI projects. It needs a common intelligence layer that turns enterprise data into coordinated decisions.

The Path to Proof

Don't Start With an AI Roadmap. Start With Measurable Value.

01

FIND

Identify the highest-value opportunities.

02

MODEL

Validate data, economics, risk and feasibility.

03

BUILD

Put one high-value use case into a working pilot.

04

MEASURE

Create a CEO / CFO-level value scorecard.

BoyneDemandIQ 90-Day Revenue Pilot

Employee Copilot cohort

100–250 employees

BoyneDemandIQ pilot

Boyne Mountain · 2–4 categories

Workforce Demand Model

Same property, if appropriate

Pilot design: control group vs. BoyneDemandIQ group · primary metric: incremental contribution margin per guest

At the End of 90 Days Boyne Will Know

Which AI opportunities deserve investment
Which should be stopped
What measurable economic value is achievable
What data and security gaps exist
What the enterprise AI operating model should be
What should scale next

The goal is not to do more AI. The goal is to make better decisions that produce measurable business value.

© 2026 Agilidy · Prepared exclusively for Boyne Resorts · Confidential