Classification: Confidential — C-Suite Distribution Only
Prepared for: Keith Pierce & Jeff Leer, Co-CEOs (effective April 1, 2026)
Prepared by: Day 7 Public Benefit Corporation | Genesis AI Platform
Date: March 2026
Day 7 Public Benefit Corporation proposes a phased engagement with Sonesta International Hotels Corporation to deploy Genesis AI intelligence across Sonesta's portfolio of approximately 1,100 properties, 13 brands, and 100,000 rooms.
This is not a proposal for software. It is a proposal for intelligence — the kind that transforms how a hotel company understands its markets, prices its rooms, serves its guests, and compounds its competitive advantage over time.
The engagement is structured so that Sonesta commits nothing until value is proven, invests modestly while value is validated, and scales investment only when evidence demands it. At every phase, the decision to continue is Sonesta's — based on data, not promises.
Most technology proposals for hotel companies begin with an integration timeline and a contract. This one begins with free work.
The package you are reading — 19 market analyses, 200+ property profiles, competitive intelligence, revenue projections, and strategic recommendations — was built at Day 7's expense using only publicly available data. It was produced by Genesis AI, the same platform being proposed for deployment.
This package is the proof of concept. The proposal that follows is the plan for scaling what this package demonstrates into a permanent operating advantage.
| Deliverable | Description | Quantity |
|---|---|---|
| Guest Intelligence Report | Comprehensive demand ecosystem analysis — demand generators, guest segments, seasonal patterns, unserved demand signals | 1 per pilot property (3 total) |
| WiFi Intelligence & ROI Model | Assessment of revenue locked in existing WiFi authentication data — capture rate, segmentation potential, incremental revenue model | 1 per pilot property |
| Competitive Pricing Analysis | Real-time rate positioning vs. competitive set — rate gaps, event calibration, channel mix assessment | 1 per pilot property |
| Corporate Account Opportunity Map | Top 50 corporate demand generators within catchment area not currently in property's corporate rate structure | 1 per pilot property |
| One Quick Win | Single immediately actionable recommendation requiring no technology, no budget, no organizational change | 1 per pilot property |
| Executive Briefing | 60-minute presentation to Sonesta leadership summarizing findings and Phase 2 recommendation | 1 |
Total Phase 1 cost to Sonesta: $0
| Deliverable | Description | Frequency |
|---|---|---|
| Dynamic Revenue Intelligence | Daily rate optimization recommendations, event-driven pricing alerts, competitive rate monitoring, channel mix optimization | Daily / Real-time |
| Reputation Intelligence | Real-time review monitoring (Google, TripAdvisor, Booking, Expedia, Yelp), sentiment analysis, response drafting, competitive reputation benchmarking | Real-time |
| Competitive Intelligence | Rate parity monitoring, new supply tracking, market share estimation, competitive promotion detection | Daily |
| Demand Forecasting | 30/60/90-day projections by segment, event calendar integration, corporate booking pattern analysis | Weekly updates |
| Property Dashboard | Web-based dashboard consolidating all intelligence streams — accessible to GM, revenue manager, and regional leadership | Always on |
| Monthly Performance Report | Quantified impact analysis — RevPAR movement, ADR changes, occupancy trends, AI attribution | Monthly |
| Dedicated Account Manager | Named point of contact for all pilot properties — onboarding, training, issue resolution | Ongoing |
| Quarterly Business Review | Formal presentation of results, ROI calculation, and Phase 3 recommendation | Once (end of pilot) |
All Phase 2 capabilities plus:
| Deliverable | Description | Frequency |
|---|---|---|
| Cross-Property Learning | Intelligence from every property informs every other property — pricing strategies, complaint patterns, corporate accounts, event playbooks | Continuous |
| Portfolio Dashboard | Enterprise-level view — brand comparisons, market trends, anomaly detection, franchise operator rankings | Always on |
| Event Optimization Engine | NFL/NBA/NHL/MLB game-day optimization, convention demand forecasting, FIFA 2026 dedicated intelligence | Event-driven |
| Franchise Value Tools | Franchise-specific dashboards, AI-driven performance benchmarking, franchise sales intelligence | Ongoing |
| Integration Engineering | PMS integration (read-only), rate shopping tool connections, CRM data feeds as needed | Implementation phase |
| Training Program | Role-specific training — GM, revenue manager, front desk, regional VP — customized by brand tier | Rollout phase |
| 24/7 Support | Technical and operational support for all deployed properties | Ongoing |
All prior capabilities plus:
| Deliverable | Description |
|---|---|
| Brand Intelligence | Cross-brand performance analysis, brand migration recommendations, new brand strategy intelligence |
| Portfolio Strategy | Acquisition target identification, disposition intelligence, development site analysis |
| Franchise Differentiation | AI-powered franchise sales toolkit, operator benchmarking, retention intelligence |
| Continuous Compounding | System improves with every month of data — seasonal learning, disruption resilience, competitive adaptation |
| Custom Development | Sonesta-specific AI models trained on portfolio data — unique to Sonesta, non-transferable |
| Item | Cost |
|---|---|
| All deliverables for 3 pilot properties | $0 |
| Executive briefing | $0 |
| Total | $0 |
No contract. No NDA required (though welcome). No obligation.
| Item | Monthly Cost | 3-Month Pilot Total |
|---|---|---|
| Per select-service property | $3,500 | $10,500 |
| Per full-service property | $5,000 | $15,000 |
| 5-property pilot | $17,500–$25,000/month | $52,500–$75,000 |
| 10-property pilot | $35,000–$50,000/month | $105,000–$150,000 |
| 15-property pilot | $52,500–$75,000/month | $157,500–$225,000 |
Pilot pricing reflects the per-property rate ($3,500/month = $42,000/year = $0.94/room/night for a 125-room select-service property). No volume discounts apply during the pilot period.
| Properties Licensed | Annual per Property | Monthly per Property | Per Room/Night | Annual Portfolio Cost |
|---|---|---|---|---|
| 1–10 | $42,000 | $3,500 | $0.94 | $42K–$420K |
| 11–49 | $36,000 | $3,000 | $0.81 | $396K–$1.76M |
| 50–99 | $30,000 | $2,500 | $0.68 | $1.5M–$2.97M |
| 100–199 | $26,000 | $2,167 | $0.59 | $2.6M–$5.17M |
| 200–499 | $22,000 | $1,833 | $0.49 | $4.4M–$10.98M |
| 500–999 | $18,000 | $1,500 | $0.41 | $9.0M–$17.98M |
| 1,000+ | $15,000 | $1,250 | $0.34 | $15.0M+ |
| Scenario | Properties | Annual Cost | Per Property/Year | Per Room/Night |
|---|---|---|---|---|
| Conservative | 1,100 | $16.5M | $15,000 | $0.45 |
| Full value | 1,100 | $19.8M | $18,000 | $0.49 |
Annual contract with 90-day exit provision. No long-term lock-in.
Sonesta may select the engagement model that best aligns with its strategic posture and risk tolerance.
Structure: Project-based or retainer consulting relationship
Best for: Organizations that want intelligence without committing to a platform
| Component | Pricing |
|---|---|
| Market intelligence report (per market) | $15,000–$25,000 |
| Property-level optimization assessment | $5,000–$10,000 per property |
| Revenue strategy consulting (per market per quarter) | $25,000–$50,000 |
| Monthly retainer (dedicated analyst + AI tools) | $15,000–$30,000 |
| Executive strategy session (half-day) | $10,000 |
Pros: Lowest commitment. No technology integration required. Sonesta retains all deliverables.
Cons: No continuous intelligence. No cross-property learning. No compounding. Each engagement starts from zero.
Recommended for: Initial relationship building if platform commitment is premature.
Structure: Per-property monthly license with volume tiers as described above
Best for: Organizations ready to deploy AI as a permanent operating layer
| Component | Included |
|---|---|
| All intelligence capabilities (revenue, reputation, competitive, demand) | ✓ |
| Property and portfolio dashboards | ✓ |
| Cross-property learning engine | ✓ |
| Integration engineering | ✓ |
| Training and onboarding | ✓ |
| Dedicated account team | ✓ |
| Quarterly business reviews | ✓ |
| 24/7 support (Phase 3+) | ✓ |
| Custom model development (Phase 4) | ✓ |
Pros: Full intelligence capability. Cross-property learning activated. Compounding value. Predictable cost structure. Scalable.
Cons: Requires PMS integration (read-only) for full value. Monthly commitment per property.
Recommended for: The engagement described in this package. This is the model that delivers the projected $62M–$168M+ annual portfolio value.
Structure: Lower base fee + percentage of AI-attributable incremental revenue
Best for: Organizations that want to align vendor economics with outcomes
| Component | Structure |
|---|---|
| Base platform fee | 50% of standard license rate |
| Revenue share on AI-attributed incremental revenue | 10–15% of measurable uplift |
| Measurement methodology | Agreed-upon baseline + control group comparison |
| Minimum term | 24 months (to allow compounding to activate) |
| Revenue share cap | 2x standard license rate per property |
Example at 100 properties:
- Base fee: $1.3M/year (50% of $2.6M standard)
- If AI generates $15M incremental revenue: 12.5% share = $1.875M
- Total cost: $3.175M for $15M in value (4.7x ROI)
- Revenue share cap: $5.2M maximum regardless of performance
Pros: Aligns Day 7's incentives with Sonesta's outcomes. Lower upfront commitment. Day 7 is paid for results.
Cons: Requires transparent revenue data sharing. More complex measurement methodology. Longer minimum commitment.
Recommended for: Organizations that want maximum alignment between vendor compensation and performance.
| Week/Month | Activity | Sonesta Action Required | Day 7 Action |
|---|---|---|---|
| Week 0 | Initial meeting | 30-minute intelligence demo | Present this package, discuss fit |
| Week 1 | Scope agreement | Confirm pilot properties, designate executive sponsor | Prepare pilot intelligence work |
| Weeks 2–4 | Phase 1 delivery | GM availability for validation, review deliverables | Deliver intelligence packages for 3 properties |
| Week 4 | Decision point | Evaluate Phase 1, decide Phase 2 | Present findings, recommend Phase 2 scope |
| Month 2 | Phase 2 kickoff | Provide PMS read-only access, designate revenue contact | Onboard pilot properties, deploy platform |
| Months 2–4 | Phase 2 execution | GM and revenue manager engagement, franchise operator coordination | Daily intelligence delivery, monthly reports |
| Month 4 | Decision point | Evaluate pilot ROI, prepare board materials | Deliver quarterly business review, Phase 3 proposal |
| Month 5 | Phase 3 begins | Approve volume tier, IT integration support | Wave 1 deployment (FIFA markets) |
| Months 5–6 | Wave 1 | Franchise communication, regional VP engagement | Deploy 40–60 properties |
| June–July | FIFA World Cup | Execute AI-optimized pricing and operations | Real-time event intelligence across all host-city properties |
| Months 7–8 | Wave 2 | Continue rollout | Deploy 30–50 additional properties |
| Months 9–12 | Wave 3 | Full portfolio communication | Deploy remaining markets |
| Month 12 | Year 1 review | Evaluate full portfolio ROI, negotiate enterprise license | Deliver annual performance report |
| Year 2 | Enterprise scale | Board approval for full portfolio license | Full 1,100-property deployment |
| Role | Responsibility | Phase |
|---|---|---|
| Engagement Lead | Single point of accountability for the Sonesta relationship. Owns timeline, deliverables, and escalation. | All phases |
| AI Intelligence Analysts | Produce market intelligence, demand forecasting, competitive analysis. Domain expertise in hospitality and revenue management. | All phases |
| Integration Engineers | PMS integration, data pipeline setup, API connections. Handle all technical implementation. | Phase 2+ |
| Customer Success Manager | Day-to-day contact for pilot and rollout properties. Training, onboarding, issue resolution. | Phase 2+ |
| Data Scientists | Model development, learning algorithm optimization, custom Sonesta-specific model training. | Phase 3+ |
| Executive Sponsors | Senior Day 7 leadership available for strategic discussions and QBRs. | All phases |
| Role | Responsibility | Time Commitment |
|---|---|---|
| Executive Sponsor | Champion the engagement internally. Decision authority for phase transitions. | 2–4 hours/month |
| Revenue Management Liaison | Primary contact for revenue strategy questions and PMS data coordination. | 5–10 hours/month (Phase 2+) |
| IT Liaison | Provide PMS API access (read-only), coordinate data security review. | 10–20 hours total (Phase 2 setup) |
| Pilot Property GMs | Participate in intelligence validation, implement quick wins, provide feedback. | 3–5 hours/month during pilot |
| Franchise Relations Contact | Coordinate communication with franchise operators for Phase 3 rollout. | 5–10 hours/month (Phase 3+) |
No new hires are required. No organizational restructuring. The engagement is designed to overlay existing operations, not disrupt them.
| Security Measure | Standard |
|---|---|
| Encryption at rest | AES-256 |
| Encryption in transit | TLS 1.3 |
| Access control | Role-based access with multi-factor authentication |
| Data residency | U.S.-based infrastructure, data does not leave U.S. jurisdiction |
| SOC 2 Type II | Compliance pathway in progress; target certification Q3 2026 |
| PCI DSS | No payment card data is collected, stored, or processed |
| Data ownership | All Sonesta data remains Sonesta's property at all times |
| Data portability | Full export available at any time in standard formats |
| Data isolation | Sonesta data is logically isolated from all other clients |
| Retention policy | Configurable by Sonesta — default 7 years |
| Deletion on termination | All Sonesta data deleted within 30 days of contract termination upon request |
This intelligence capability is not available from traditional hospitality consultants at any price, because it requires an AI platform purpose-built for the hospitality industry. For comparison, here is what Sonesta would pay for comparable scope from other providers:
| Provider | Comparable Scope | Estimated Cost | Timeline |
|---|---|---|---|
| Accenture | Enterprise AI strategy + implementation for hospitality portfolio | $5M–$15M (strategy only); $25M–$75M (implementation) | 18–36 months |
| McKinsey | Revenue optimization strategy for hotel portfolio | $3M–$8M (strategy only, no technology) | 6–12 months |
| Deloitte | Digital transformation assessment + AI roadmap | $2M–$6M (assessment); $15M–$40M (implementation) | 12–24 months |
| Slalom | AI implementation for regional hotel group | $1M–$5M per market | 6–12 months per market |
| BCG | AI-driven pricing strategy consulting | $2M–$5M (strategy only) | 6–9 months |
| Provider | Product | Cost for 1,100 Properties | Limitation |
|---|---|---|---|
| IDeaS (SAS) | Revenue management system | $10M–$25M/year | Revenue management only — no reputation, competitive, or cross-property learning |
| Duetto | Revenue strategy platform | $8M–$15M/year | Revenue focus only |
| OTA Insight | Rate intelligence | $3M–$5M/year | Rate shopping only — no demand forecasting, reputation, or cross-property intelligence |
| ReviewPro (Shiji) | Reputation management | $2M–$4M/year | Reputation only |
| Combined (all above) | Partial coverage of Genesis scope | $23M–$49M/year | Still no cross-property learning, no unified intelligence, no compounding |
| Component | Cost for 1,100 Properties |
|---|---|
| Revenue intelligence | Included |
| Reputation intelligence | Included |
| Competitive intelligence | Included |
| Demand forecasting | Included |
| Cross-property learning | Included |
| Event optimization | Included |
| Franchise value tools | Included |
| Portfolio strategy intelligence | Included |
| Custom model development | Included |
| Integration engineering | Included |
| Training and support | Included |
| Total | $16.5M–$19.8M/year |
The traditional consulting path costs more, delivers less, takes longer, and produces no compounding intelligence. The point-solution vendor path costs more, requires managing 4–5 vendor relationships, produces no cross-system learning, and creates integration complexity.
Genesis delivers a unified intelligence layer at a fraction of the cost, with compounding value from day one.
Day 7 Public Benefit Corporation is structured as a public benefit corporation — a legal designation that embeds social purpose alongside shareholder value. The company was founded on the principle that artificial intelligence should serve human flourishing, not replace human judgment.
Genesis AI is a sovereign, enterprise-grade intelligence platform built on open-source infrastructure. It is not a resold API from OpenAI, Google, or Anthropic — it is a purpose-built system designed for industries where data sovereignty, competitive sensitivity, and compounding intelligence create durable advantage.
| Component | Specification |
|---|---|
| Infrastructure | Dedicated GPU cluster (8x NVIDIA H200, 2TB RAM) |
| Models | Proprietary + open-source; not dependent on any single AI vendor |
| Data sovereignty | All data processed on owned infrastructure; no third-party model training |
| Knowledge graph | 5.3M+ nodes of industry intelligence |
| Vector database | 5.1M+ embedded objects for semantic search and pattern recognition |
| Processing capacity | 1M+ token context windows; multi-model consensus for critical outputs |
Day 7's legal structure means that intelligence produced by Genesis cannot be used to deceive, manipulate, or exploit the people it serves. Guest data is never monetized. Competitive intelligence is never shared. The system is designed to make good operators better — not to replace human expertise with algorithmic opacity.
This is not marketing language. It is a legal obligation encoded in the company's articles of incorporation.
Schedule a 30-minute intelligence demo.
No contract. No commitment. No cost.
In that meeting, we will:
The package you are reading is the largest proof of concept we can produce without your participation. The next step is a conversation about whether this intelligence is worth deploying at scale.
We believe the evidence speaks for itself. But evidence needs a listener.
Day 7 Public Benefit Corporation
Genesis AI Platform
To schedule: Reply to the contact who delivered this package, or reach Day 7 through the channels provided with this document.
This proposal was produced using Genesis AI and publicly available data. No Sonesta proprietary information was used in its preparation. All pricing is valid for 90 days from the date of this document. Revenue projections are based on published industry benchmarks applied to publicly available property and market data. Actual results will vary based on property participation, market conditions, and implementation scope.
Appendix: Documents Included in This Package
| Section | Document | Count |
|---|---|---|
| Executive Package | Executive Summary, Genesis Positioning, Sonesta AI Strategy | 3 documents |
| Market Deep Dives | 11 full market analyses + 8 secondary market briefs + Richardson deep dive | 20 documents |
| Financial Case | ROI Model, Market Comparison Matrix | 2 documents |
| Action Plan | Enterprise Execution Plan, Engagement Proposal, Industry Analysis | 3 documents |
| Total | Complete intelligence package | 28 documents |