Top 10 AI Prompts and Use Cases and in the Hospitality Industry in Madison

Madison hospitality teams can turn AI from buzzword to bottom-line tool by focusing on quick wins that local hotels and restaurants already need: 24/7 multilingual chatbots and virtual concierges to cut front‑desk workload, AI-driven scheduling to reduce overtime and payroll waste, and dynamic pricing to lift RevPAR during Madison's busy weekends - all trends highlighted in industry research such as the EY report on AI in hospitality and practical playbooks like MobiDev's use‑case guide.

Pilotable projects (chatbot replies under five seconds, predictive housekeeping, or demand-based rates) deliver measurable efficiency and protect the human touch guests value; for staff-ready training, the AI Essentials for Work 15-week bootcamp registration and syllabus offers a pathway to writing effective prompts and applying AI across operations.

These steps help Wisconsin operators compete as AI adoption grows nationwide and market forecasts point to continued expansion.

Program	Details
AI Essentials for Work	15 weeks; learn AI tools, prompt writing, and job-based AI skills. Early bird $3,582; regular $3,942. AI Essentials for Work syllabus • AI Essentials for Work registration

“The hospitality sector globally is indeed at the cusp of AI-driven transformation. Through enhanced personalization, AI can help enrich guest experiences while preserving the human touch, thus redefining luxury hospitality.” - Puneet Chhatwal, Deloitte

Selection began by translating Madison's operational needs into testable criteria: local pilotability, clear ROI, resilience to incorrect or biased outputs, and sensitivity to seasonal demand and weather risks.

Desk research drew on practical Madison playbooks such as the Complete Guide to Using AI in Madison (Nucamp) to identify front‑desk, housekeeping and F&B pain points, and on the Webis publications catalog to adopt proven evaluation practices for prompt robustness and LLM output detection; prompts were required to map to an existing staff workflow (for example, the chatbot goals in our introduction) and support a measurable pilot metric like the five‑second reply benchmark.

Finally, industry risk signals influenced prioritization - use cases that reduced exposure during demand swings or extreme events scored higher. The result is a pragmatic, research‑informed shortlist of prompts that Madison operators can validate against guest satisfaction and labor metrics without major system overhauls.

Criteria	Source	How it was applied
Local pilotability	Nucamp AI Essentials for Work syllabus - practical AI playbook for hospitality pilots	Prioritized prompts that plug into front‑desk, housekeeping, or F&B workflows.
Evaluation & reliability	Webis publications on evaluation and LLM detection	Adopted IR and detection methods to test prompt accuracy and bias resilience.
Demand & risk sensitivity	Munich Re risk insights on weather and demand volatility	Weighted use cases that mitigate exposure during weather or demand volatility.

MakeMyTrip's collaboration with Microsoft shows how a voice‑assisted, multilingual booking prompt can compress discovery-to-booking into a single conversational flow - initial beta support in English and Hindi built on Microsoft Azure OpenAI and cognitive services, one‑click activation on the landing page, and the ability to summarize thousands of hotel reviews into tailored highlights are concrete features Madison operators can test in local pilots; research and reporting note that voice‑to‑text translation and in‑app voice chat reduced friction for users and supported higher conversions for AI‑enabled journeys (PhocusWire analysis of MakeMyTrip AI check-in and MakeMyTrip press release: GenAI Trip Planning Assistant launch); Madison hotels and restaurants can adapt the same prompt pattern - voice input, cohort‑aware review summaries, and direct booking actions - to improve accessibility and shorten guest booking journeys, as explored in local implementation guides for Madison hospitality teams (Nucamp AI Essentials for Work syllabus: chatbots and virtual concierges in Madison).

“We have always believed that technology is at its best when it solves complex problems behind the scenes, while making the customer interface as intuitive and as delightful as possible. With GenAI, we take that vision further by turning intent into action through natural, human-like conversations. By enabling access initially in Hindi, and expanding to multiple Indian languages soon, this launch has the potential to solve for the Bharat heartland, reaching the deepest corners, and bringing seamless, intelligent travel booking to those who've long been underserved by digital platforms. It brings together the full strength of our platform, including customer preferences data, supply, user-generated content, personalization, and real-time intelligence, to power the next era of travel: connected journeys that intuitively adapt to each traveller's needs, from start to finish.” - Rajesh Magow, Co‑Founder & Group CEO, MakeMyTrip

Master of Code's Luxury Escapes chatbot condensed discovery-to‑purchase into five to six guided interactions, letting users search personalized deals, book trips, and even play a viral “Roll the Dice” selector - a design that generated more than $300K in the first 90 days, produced a 3x higher conversion vs.

the website, and achieved an 89% reply rate on retargeting messages; Madison hotels and tour operators can adapt this pattern (quick preference elicitation, behavior‑tracking retargeting, and lightweight gamified discovery) to lift conversion during high‑demand weekends without rebuilding major systems.

See the Luxury Escapes case study for implementation details and measurable outcomes, and compare project notes on Master of Code's profile to inform local pilots in Madison hospitality operations.

Metric	Result
Revenue (first 90 days)	$300K+
Conversion vs. website	3× higher
Reply rate to retargeting	89%
“Roll the Dice” plays	16.8K+

“As mobile becomes more immersive we saw no sign of conversational commerce slowing down, and a messenger bot on social was a high priority to test and learn how our users behave in this space. With the bot in place, we're able to drive personalized, incremental user engagement on a global scale. The ability to go from zero to thousands of users on a new channel is quite unique, and the retention rate so far is amazing.” - Matt Meisner, VP Digital Marketing, Luxury Escapes

Expedia's ChatGPT-powered planning features - first rolled into its mobile app and EG Labs beta as a conversational assistant called Romie - turn natural-language prompts into end-to-end trip support: smart search that understands descriptions instead of filters, multi‑turn itinerary building, and real‑time updates that pull from sources like AccuWeather and Yelp to recommend alternate hotels if flights change or weather shifts (TechCrunch article: Expedia tests AI-powered travel planning features, Mashable coverage: Expedia adds ChatGPT-powered booking and planning).

For Madison hospitality teams, the same personalized‑planning prompt pattern can act as a virtual concierge that suggests restaurants, builds short itineraries for a UW‑Madison conference attendee, and surfaces nearby lodging when delays strike - practical pilots that reduce front‑desk load and capture last‑minute demand (see local playbooks for chatbot pilots at How AI Is Helping Hospitality Companies in Madison: chatbot pilot playbook).

The so‑what is concrete: contextual, message‑driven planning shortens decision time and keeps guests moving rather than waiting on hold.

“While everybody talks about AI assistants, for me, having an AI assistant that is a travel agent, personal assistant, concierge, and always there at the ready for you to make changes, remedy your trip, and remove fit across the entire process proactively is a game changer.” - Rathi Murthy, CTO of Expedia Group

Tastewise's TasteGPT turns menu curation into a fast, data‑backed conversation: chefs and F&B managers can prompt the model to surface trending flavor combinations, validate product concepts against real‑time social and menu data, and generate recipe and menu iterations that respect dietary rules like gluten‑free or low‑carb - all without months of traditional research.

For Madison operators this means rapid, regionally aware menu pivots (think seasonal produce from local suppliers) that both inspire new dishes and protect margins by aligning with menu engineering targets such as a 28–35% food‑cost range; TasteGPT's platform also promises client‑ready reports and idea generation up to 10× faster, enabling small teams to A/B test specials and pricing before committing to large purchases.

Use the TasteGPT conversational interface to draft customizable menu options, justify ingredient choices with data, and export insights into your kitchen workflow to cut waste and speed time‑to‑menu (TasteGPT generative AI for food & beverage by Tastewise, Tastewise menu planning guide: real secrets and benefits (2025)).

Metric	Value / Source
Insight speed	Get insights ~10× faster - TasteGPT
Project capacity	Up to 20× more project throughput - TasteGPT
Target food cost	Typical restaurant target: 28–35% of revenue - Menu Planning guide

“People are accustomed to getting the answers they need in seconds in their personal life… but at work, it can take three months to get clear answers to simple but business critical questions. With TasteGPT, AI steps in to do the heavy lifting…” - Alon Chen, quoted in Tastewise coverage

Virgin Voyages' “Jen A.I.” shows how a virtual brand‑ambassador prompt - using a celebrity digital twin, generative voice, and AR invitations - can turn hesitant groups into bookings by making invites feel personal and shareable; the campaign produced viral reach (over two billion impressions) and 25,000+ personalized invites while driving measurable bookings and higher engagement, a pattern Madison hotels and event teams can adapt to push varsity graduations, rehearsal dinners, or conference cohorts from “maybe” to “yes.” Replicating the prompt pattern means offering a short questionnaire (occasion, guest list, tone), then generating a tailored video or message guests can forward; the result is reduced planning friction and higher conversion for group travel without heavy backend changes.

For campaign playbooks and creative approach, see Virgin Voyages' press release on Jen A.I. and VML's case notes on the Jen AI creative build.

Metric	Value / Source
Impressions	Over 2 billion (VML / campaign reporting)
Personalized invites sent	25,000+ (VML)
Bookings reported	1,000+ (CNBC)
Engagement uplift	~150% higher engagement vs. prior campaigns (CNBC)

“It's so important to me that we stop and take time to celebrate special moments with our inner circle.” - Jennifer Lopez

Norwegian Cruise Line's fixed booking windows - Haven guests and Platinum+ Latitudes members can pre-book entertainment 26 days before sailing while most suites and cabins open at 21 days - create predictable, short‑lead demand signals that Madison hotels, shuttle operators, and event planners can use to time promotions and inventory allocation; monitor NCL's entertainment policy (NCL entertainment pre-booking policy and timelines) and its time‑boxed promotions (for example, a 70% off 2nd‑guest offer ran Aug 12–25, 2025) to detect booking surges that often ripple into nearby markets like Milwaukee and Madison.

Feed those calendar anchors into simple demand‑prediction prompts - flag spikes in NCL promo windows, then upweight room blocks, airport transfers, or pop‑up dining offers 21–26 days ahead - to capture last‑minute travelers; the concrete payoff is measurable: a coordinated upsell during a cruise promo can convert transient shore visitors into overnight stays.

For local playbooks on turning external signals into pilots, see the Nucamp AI Essentials for Work syllabus - AI implementation guide for Madison hospitality teams (Nucamp AI Essentials for Work syllabus and Madison hospitality AI guide).

Signal	Detail
Haven entertainment pre-book	26 days prior to sailing
Suites / Balcony / Oceanview / Inside	21 days prior to sailing
Latitudes Platinum+ benefit	Entertainment can be pre-booked 26 days regardless of category
Sample promotion window	70% Off 2nd Guest - Booking Window: Aug 12–25, 2025

Tripadvisor's OpenAI-backed itinerary generator can give Madison hospitality teams a fast, guest‑facing way to deliver ready-to-edit, day‑by‑day plans: the tool creates comprehensive itineraries within minutes, leverages the site's billions of traveler reviews and uploaded photos to personalize recommendations, and returns a map that pins suggested stops so guests can visualize logistics at a glance - features that cut routine planning time at the front desk while improving arrival experience for conference attendees or short‑stay visitors (HotelDive coverage of Tripadvisor's OpenAI itinerary generator, Mashable explainer: how Tripadvisor's AI builds itineraries in minutes).

Site testing shows it's a useful jumping‑off point but sometimes needs local context and schedule vetting, so pair the output with a quick staff review or a Madison‑specific prompt template from local playbooks to avoid awkward timing recommendations and keep guests moving (Business Insider real‑world review and limitations of Tripadvisor's AI planning tool).

DataChat, a Madison‑headquartered UW–Madison spin‑out, brings conversational, no‑code analytics to hospitality teams that need fast, trustworthy guest insights without hiring data scientists: staff can type plain‑English questions and get charts, reports, or reusable workflows that document every step, enabling quicker decisions for conference weekends or high‑occupancy nights; the platform scales to billions of rows, connects to Snowflake, BigQuery, Databricks and Redshift, and is now available as a Snowflake Native App while adding Slack integration soon - practical mechanics that let local hotels and event teams turn reservation, POS, and review data into actionable answers in minutes rather than days (see company details and mission at DataChat company page - company overview and mission and the 2025 growth update covering Snowflake and Slack workstreams at DataChat 2025 growth update on BigDataWire (Snowflake and Slack integrations)); UW reporting also highlights how the startup keeps talent and analytics capability in‑state, helping Wisconsin operators adopt self‑service data tools faster (UW–Madison News: DataChat democratizes data science (local impact)).

Fact	Source
Headquarters	Madison, Wisconsin - DataChat company page
Platform	No‑code Conversational Intelligence; plain‑English queries to SQL/Python
Integrations	Snowflake, Google BigQuery, Databricks, Amazon Redshift
Scale & capability	Handles billions of rows; generates reports, charts, and models
Recognition & funding	Mentioned in Gartner 2024 Techscape; $25M Series A (2021)

“Our partnerships have been, and continue to be, a key component of our growth strategy and we are proud to be working so closely with some of the most innovative and influential companies in tech. These partnerships all have one thing in common – they provide customers with the ability to quickly and easily mine their data for tangible and actionable information, a need that is not only universal, but also one that continues to grow.” - Viken Eldemir, CEO, DataChat

Microsoft's M365 Copilot can move routine admin off the front desk and into a prompt-driven workflow that Madison hotels and restaurants can pilot in days: use Copilot in Forms to design quick guest‑satisfaction surveys, in Excel to auto‑generate occupancy reports and visualizations for revenue meetings, in PowerPoint to turn that data into partner‑ready slides, and in Teams to produce multilingual meeting summaries for diverse seasonal staff - practical automation that shrinks reporting time and reduces manual email triage.

Local teams benefit because measured deployments show concrete time savings (examples range from one–three hours back per employee to at least two hours weekly in operational pilots), which frees shifts for upselling and guest service during busy UW events or conference weekends; see the collection of hospitality use cases for Copilot and a real airport deployment for implementation cues.

Microsoft Copilot use cases for travel and hospitality industry • Prague Airport Microsoft 365 Copilot case study

Copilot feature	Benefit for Madison hospitality teams
Forms	Faster guest feedback collection and structured survey design
Excel	Automated occupancy, segmentation, and revenue charts for decisioning
PowerPoint / Word	Instant reports and marketing content from operational data
Teams	Multilingual meeting summaries and reduced coordination overhead

“Our staff reported a boost in task efficiency and saved up to two hours a week with Microsoft 365 Copilot. In an organization of our size, that alone justified the investment...” - Marek Janeček, CIO, Prague Airport

The UW–Madison Center for Teaching, Learning & Mentoring (CTLM) bundles practical, classroom‑tested “recipes” in its AI Prompt Cookbook that show instructors how to create engaging course content, design assignments, and build prompts for enterprise tools like Microsoft Copilot and Google Gemini - resources Madison hospitality trainers can adapt to produce audited, reusable prompt templates (for multilingual concierge messages, guest‑survey generators, or staff‑facing SOP helpers) that align with campus data and privacy guidance.

CTLM pairs the cookbook with clear “AI Syllabus Statements,” guiding principles, and a calendar of hands‑on sessions (for example, “Refining Your Prompts”) so pilots emphasize prompt design, bias detection, and transparent student/staff expectations; the practical payoff for local hotels and restaurants is a fast, low‑risk path to turn prompt prototypes into auditable workflows that keep sensitive data on approved services and make staff more confident prompt authors.

Learn the cookbook and supporting resources at the UW–Madison CTLM pages: UW–Madison CTLM AI Prompt Cookbook and CTLM Generative AI resources and events.

“recipes”

“AI Syllabus Statements”

“Refining Your Prompts”

Resource	Benefit for Madison hospitality teams
AI Prompt Cookbook	Prompt recipes for Copilot/Gemini to organize content, assignments, and prompt templates
AI Syllabus Statements & Guiding Principles	Set expectations, promote academic integrity, and protect data
Workshops (e.g., “Refining Your Prompts” - Nov. 18)	Hands‑on prompt design and bias detection training

Madison teams should turn this playbook into a short, measurable action plan: pick one “needle‑moving” use case (24/7 multilingual chatbot, dynamic pricing for weekend demand, or staff‑facing Copilot automation), set clear success metrics (example targets from regional playbooks include chatbot replies under 5 seconds or cutting front‑desk wait times ~40%), and run a focused 4–6 week pilot with executive sponsorship and IT/HR in the room to manage data, privacy, and staffing changes; use practical integration checklists and KPI guidance from industry playbooks to evaluate outcomes, iterate on prompts, and scale winners citywide.

For analytics and real‑time answers, pair pilots with a no‑code tool for self‑service insights so managers can ask plain‑English questions and get charts for Friday conference weekends; invest in staff prompt training (a fast route is the 15‑week Nucamp AI Essentials for Work bootcamp) so front‑line teams become confident prompt authors rather than passive consumers.

For stepwise guidance on use‑case selection and integration, see MobiDev's hospitality playbook and ScottMadden's pilot program checklist, and register teams for practical prompt training to keep results auditable and repeatable.

Step	Action	Suggested Resource
1. Select a pilot	Choose one high‑impact use case tied to revenue or hours saved	MobiDev hospitality AI use‑case playbook and integration strategies
2. Run a time‑boxed pilot	4–6 week pilot with clear KPIs and stakeholder owners	ScottMadden guide to launching a successful AI pilot program for executives
3. Train & scale	Prompt writing and operational adoption for staff	Nucamp AI Essentials for Work bootcamp - registration and course details

“We don't solve problems with canned methodologies. We help you solve the right problem in the right way. Our experience ensures that the solution works for you.” - ScottMadden