Top 10 AI Prompts and Use Cases and in the Hospitality Industry in Des Moines

Des Moines hospitality operators face rising guest expectations for personalization and efficiency, and AI is the practical lever: research shows 61% of guests will pay more for customized experiences and 78% are more likely to book properties that offer tailored stays, making AI-powered recommendations, chatbots, and dynamic pricing vital tools for local hotels, restaurants, and event venues (AI in the Hospitality Industry - research on AI adoption in hospitality).

Local case studies and guides highlight how AI-driven personalization is already boosting bookings and satisfaction across Des Moines (AI-driven personalization for hotel guests in Des Moines - local case study), and workforce upskilling - like Nucamp's 15-week AI Essentials for Work course that teaches prompt writing and practical AI tools - helps teams adopt these systems without losing the human touch (Nucamp AI Essentials for Work - 15-week AI course for the workplace).

Bootcamp	Length	Early bird cost
AI Essentials for Work	15 Weeks	$3,582
Solo AI Tech Entrepreneur	30 Weeks	$4,776
Cybersecurity Fundamentals	15 Weeks	$2,124

"We saw how technology is being harnessed to enhance efficiency and the guest experience: analyzing big data allows hoteliers to gather more insight and thus proactively customize their guests' journey. However, we recognized that hospitality professionals' warmth, empathy, and individualized care remain invaluable and irreplaceable. The human touch makes guests feel appreciated and leaves an indelible impression on them."

Selection criteria prioritized practical wins for Des Moines operators: each prompt had to deliver measurable guest value, fit small and mid‑size property tech stacks, and be executable as a single‑property pilot so teams can test impact quickly.

Feasibility checks used MobiDev's five‑step roadmap - identify business priorities, map operational friction, assess digital readiness, match problems to AI use cases, then start small with a pilot - and KPIs such as RevPAR, NPS and task‑automation rate guided short pilots (MobiDev 5-step roadmap and KPI framework for AI in hospitality).

Economic and sustainability upside were weighted too, reflecting NetSuite's findings that AI boosts guest service, operational efficiency and energy management; preference went to chatbots, dynamic pricing, housekeeping optimization and predictive maintenance because they scale across Des Moines properties and reduce labor strain while preserving human warmth (NetSuite analysis of AI use cases in the hospitality industry).

Selection Criterion	Why it matters
Business priority	Targets measurable revenue or cost goals
Operational friction	Solves day‑to‑day staff pain points
Digital readiness	Integrates with PMS/CRMs without heavy refactor
Pilot feasibility	Runnable at a single property or department
KPIs	RevPAR, NPS, automation and energy metrics

Turn Des Moines front desks and restaurant phone lines into a nonstop booking engine by pairing a 24/7 AI reservation assistant with OpenTable's Booking and Sync APIs - this removes double‑entry across POS/CRMs and surfaces real‑time availability for guests who call after hours or during peak Iowa dining windows (OpenTable Booking and Sync API integrations); practical integrations with voice‑first platforms like Hostie, Slang, or PolyAI show how an AI host checks availability, creates reservations, and hands off complex requests, cutting missed calls and freeing staff for in‑person service (AI phone reservation integration guide for Hostie, Slang, and PolyAI).

For a Des Moines bistro or hotel front desk, the payoff is tangible: industry examples estimate handling 800–1,000 calls/month and saving roughly 35–75 staff hours monthly after automation, so teams can reallocate time to guest experience rather than routine bookings - launch fast by using OpenTable's API sandbox and embedding the reservation widget on local sites and social pages for immediate impact.

Metric	Typical Value
Inbound calls/month	800–1,000
Staff hours saved/month	35–75 hours
Key tech	OpenTable Booking/Sync APIs + AI voice connector

Secret Escapes' playbook for surfacing the right holiday at the right moment shows a clear prompt strategy Des Moines operators can copy: use a Learning‑to‑Rank model to reorder deals for each guest - combining nearly 200 deal and user features plus ALS latent factors indexed into search - to surface locally relevant weekend or pet‑friendly offers first and push lower‑intent inventory down the list (ML-powered Learning-to-Rank implementation details and architecture).

Backed by a stack many small properties can emulate (OpenSearch/Elasticsearch, Snowflake, SageMaker, Airflow), this approach supports daily retraining so recommendations track changing local demand; applied to email and on‑site search it helped Secret Escapes lift conversions dramatically and cut acquisition costs in experiments that also used Smart Bidding and personalization tactics (Smart Bidding campaign results and personalization case study).

So what? For a Des Moines boutique hotel or DMO, an LTR + email feed means fewer wasted sends, more guests who see the right weekend package, and measurable uplifts in bookings and cost per lead - using the same model components global teams deployed at scale.

Metric	Secret Escapes result
Click‑through rate (ads/email)	+23%
Conversions (search → book)	+65%
Cost per lead (CPL)	-38%
ROI (with dynamic retargeting)	60–100% month‑on‑month

“Don't get lazy and use it as a silver bullet.” - Ollie Miles, Secret Escapes

Turn an AI prompt into an “Event Catering Coordinator” that automates menu syncing, order acceptance, and dietary labeling for Des Moines meetings and community events by leveraging ezCater's new public menu API and webhook‑driven order flows: instruct the assistant to push menu changes from a POS or middleware, confirm order modifications immediately before fulfillment, surface dietary flags and individually packed options, and provide delivery tracking details (courier, lat/long, drop‑off image) to event hosts - so menus update in minutes (not days) and teams capture higher‑value workplace orders (ezCater reports average order value >$375).

Practical integrations to pilot in Iowa include Checkmate or Deliverect for two‑way POS sync and real‑time menu control; start by testing one venue, listening for “accepted” webhooks, and routing pending modifications to staff before printing the ticket.

See implementation details in ezCater's menu API writeup and developer docs for webhook and orders workflows.

Metric	Value
Average ezCater order value	>$375
Menu update latency	Days → Minutes (via Menu API)
First integration partner	Checkmate (pilot)

“At ezCater, we are committed to creating an integrated technology ecosystem to simplify catering operations for our restaurant partners. Our new menu API sets the stage for an even more connected future where restaurants can run their catering operations seamlessly and continue to grow their business.” - Erin DeCesare, Chief Technology Officer, ezCater

A “Proactive Guest Travel Alert” prompt turns live flight‑ops signals into targeted, omnichannel updates so Des Moines guests get the right message at the right time: set triggers for delays, cancellations or aircraft swaps (Infobip's example of an aircraft swap that caused a 45‑minute delay shows the pattern - SMS to all passengers, a follow‑up with the new gate, then a boarding alert - and can be copied for hotel‑facing workflows) to push immediate rebooking links, voucher offers, and gate‑change notifications via SMS, WhatsApp or in‑app messages; include fallback channels so no one slips through (Infobip) and automate priority routing for short‑connection guests to reduce missed flights and frantic front‑desk calls.

Heathrow's crisis playbook - real‑time messaging, a staffed escalation path and clear emergency lines - proves the approach scales: during the Heathrow closure response teams handled hundreds of calls and proactive outreach that reassured stranded travelers and sped recoveries (Infobip airline disruption management guide, Heathrow airport closure case study); for Des Moines hotels and DMOs, the payoff is concrete: fewer surprised guests, faster rebookings, and lower load on staff during peak disruptions.

Metric	Value
Passengers who appreciate proactive updates	75%
Passengers preferring messaging platforms	92%
Clients contacted during Heathrow closure (example)	114 affected; 481 within 3 days

“It's fantastic to be working with Publicis Sapient on our digital efforts. Our new website heathrow.com has been entirely reorganized around the passenger for a seamless, unified offer that is fit for future purpose. We are excited for what we can further achieve together on our transformation journey.” - Pete Burns, Director, VP of Digital, eCommerce & Marketing, Heathrow Airport

Finnair's move to layer generative AI onto multilingual customer support shows a practical prompt designers can replicate for Des Moines hospitality: create a “Multi‑Language Guest Support” prompt that detects language, answers common travel and stay questions (like baggage rules, check‑in windows, or reservation changes), and gracefully escalates to a human when intent confidence is low - an approach grounded in airline practice where Finnair is explicitly rolling out multilingual AI assistance (PhocusWire article on Finnair implementing multilingual generative AI) and in chatbot history (Finnair's Finn, launched in August 2017, helped seed these capabilities) when only 14% of carriers then used bots (Altexsoft guide to chatbots in travel and Finnair's Finn).

So what? For Des Moines hotels and the airport, a tuned multilingual prompt means fewer transfer calls, faster resolutions for international convention attendees, and more front‑desk time freed for high‑touch service instead of language troubleshooting.

“We know customers appreciate transparency.”

Saks Fifth Avenue's playbook for high‑touch upsell and personalization shows a clear prompt designers can adapt for Des Moines hotels and boutiques: deploy an AI stylist prompt tied to a unified customer profile (Salesforce Data Cloud + Agentforce) so front‑line staff see past purchases, occasion triggers (birthdays, anniversaries) and visual matches from guest‑uploaded photos, enabling timely, relevant offers rather than generic promotions (Saks Fifth Avenue AI personalization case study).

Combine that with a tablet‑enabled associate workflow that surfaces concierge recommendations in seconds - Epsilon notes Saks used a tablet app to turn sales associates into trusted advisers and capture high‑value appointments - and automate follow‑ups through personalized email templates for local events or weekend getaways (tablet-enabled associate app for brick-and-mortar personalization).

Pair a concierge prompt with a 24/7 chatbot to handle routine queries - retail ML examples report bots resolving ~70% of inquiries - so Des Moines properties can upsell late checkout, parking, or event packages while freeing staff to deliver the human moments that matter (chatbot performance and machine learning in retail).

The practical payoff: a localized AI agent that recommends a downtown anniversary package or Convention Center pre‑show dining and remembers that repeat VIP who prefers a ground‑floor room - delivering measurable upsell without sacrificing service.

Feature	Saks Example	Potential Des Moines Application
Personalization engine	Salesforce Data Cloud + Agentforce	Unified guest profiles for targeted offers
Loyalty scale	4 million loyalty members	Segment local repeat guests for VIP outreach
Associate tools	Tablet-enabled app; $230,000 from one customer via appointments	Tablet workflows to boost in-person upsells at check-in
Chatbot performance	Resolves ~70% of inquiries	24/7 handling of routine requests to free staff

Create a “Product/Facility Issue Troubleshooter” prompt that mines SharkNinja and Ninja support documentation to triage guest appliance failures at Des Moines properties: when a guest reports a noisy vacuum, sputtering air fryer, or broken blender the assistant pulls model‑specific steps (for example, Shark's AZ4000 troubleshooting checklist or the Ninja PS100 guidance), presents safe, step‑by‑step diagnostics, and recommends escalation paths - repair ticket, warranty RMA, or vendor dispatch - so staff avoid unnecessary external calls and apply remote fixes where possible (SharkNinja troubleshooting guide for appliance issues, Ninja PS100 troubleshooting and support documentation).

This mirrors industry proposals to shift toward remote diagnosis and guided repair to improve after‑sales outcomes, a useful safeguard for busy Des Moines hotels that handle high turnover during conventions and events and want to reduce frustrating vendor handoffs (analysis of SharkNinja after‑sales service performance).

Metric	Value
Reported 2023 revenue (SharkNinja)	$4.25 billion
Share of sales from U.S.	72%
Global presence	26 countries, 31 categories
Customer dissatisfaction in audited cases	~60% of 400 cases

“La vidéo avec un technicien pour un diagnostic chez Spareka: ABSOLUMENT PAS !!!!!!”

Turn routine staffing headaches into a repeatable workflow by using a dedicated “Staff Schedule and Shift‑Swap” ChatGPT prompt: copy AI for Work's staff‑schedule template, answer the five guided questions it asks, and get a polished weekly schedule that includes clear shift definitions, swap procedures, and a built‑in quality rubric for iterative improvement (AI for Work staff schedule ChatGPT prompt template).

For Des Moines operators juggling convention weekends, riverfront festivals, and downtown restaurant peaks, that means fewer late‑night schedule edits, fairer shift distribution, and a documented swap trail so coverage stays intact when staff request changes.

Start the pilot by exporting the prompt output into a shared calendar or Google Sheet and use the prompt's improvement options - personalization, expert evaluation, or format changes - to match local labor rules and team preferences; for practical rollout guidance and local use‑case ideas, see Nucamp's Des Moines guide: Complete Guide to Using AI in Des Moines Hospitality (Nucamp Des Moines guide: Complete Guide to Using AI in Des Moines Hospitality).

Prompt step	What it produces
Copy prompt & answer five questions	Personalized weekly staff schedule
Use evaluation rubric	Quality check and improvement options
Define swap rules & display format	Audit trail for shift swaps and clear staff notices

Adapt motorsport orchestration patterns into a “Guest Experience Event Orchestrator” prompt to run large Des Moines events - trade shows, riverfront festivals or race‑week watch parties - by ingesting schedules, shuttle GPS, ticket scans and reservation status, then emitting timed nudges, queue alerts and VIP handoffs so staff act before problems surface; this borrows the multimodal, event‑driven agent approach used in racing examples (see Google Cloud real-world generative AI use cases (Vertex AI + Gemini) Google Cloud real-world generative AI use cases).

Combine that orchestration with local staffing playbooks (use an event coordinator workflow to trigger on‑demand staffing or escalation) (Event coordinator roles and workflows (staffing playbook)), and pilot quickly using a single‑venue roadmap from the Nucamp AI Essentials for Work pilot roadmap (Des Moines) (Nucamp AI Essentials for Work pilot roadmap (Des Moines)) to test triggers, channels, and KPIs before scaling.

The payoff is tangible: orchestrated arrivals and timed messaging keep lobbies moving and let staff preserve the human moments that matter.

Inspiration	Local pilot focus	First steps
Motorsport agent patterns (multimodal)	Des Moines conventions, festival or watch‑party flows	Ingest schedules/GPS → set triggers → route alerts to staff

A “Wellness and Safety Check‑in” prompt for Des Moines hotels can convert routine pre‑arrival messages or front‑desk check‑ins into a proactive welfare workflow that screens for social determinants of health (SDOH), routes guests to local support via Adobe's MASLOW™‑style resource lookup, and registers interested guests for nearby pop‑up health fairs - reducing the chance a guest's unmet social need becomes an emergency call at 2 a.m.

By wiring a short, HIPAA‑aware prompt to Adobe Population Health tools and the company's outreach playbook, properties can flag high‑risk guests for on‑site nursing follow‑up or quick community referrals, mirroring Adobe's care model that identifies barriers and connects members to local services; Adobe's published data shows meaningful impact when SDOH are addressed, including a 20% reduction in total cost of care and large drops in inpatient and ER utilization.

Pilot this on convention weekends or during major events in downtown Des Moines to protect guests and reduce costly escalations to emergency services while building goodwill with local health partners (Adobe Population Health solutions and resources, Adobe study on addressing social determinants of health (SDoH)).

Metric	Result
Total cost of care	-20% (post‑intervention)
Inpatient visits	-22%
Blood pressure compliance	+95%
Annual cost per member	≈ $13,500 → $9,500

“This study validates the vision we created when launching Adobe Population Health. I am honored to lead a team who care deeply for members who deserve the support necessary to stabilize their lives in order to focus on improving their health.” - Jayme Ambrose, Chief Executive Officer

Start small and measurable: run a single‑property pilot - for example, a 24/7 reservation assistant trial during a busy convention weekend - to prove the value of prompts (industry examples show similar pilots can save roughly 35–75 staff hours per month) while investing in local upskilling so teams keep the human touch.

Build frontline familiarity with short DMACC courses like Introduction to ChatGPT, then layer in a practical curriculum such as Nucamp's AI Essentials for Work (15 weeks) to teach prompt writing, pilot design and KPI measurement; together they create a reproducible playbook for bookings, NPS and staff‑hour gains before scaling across Des Moines properties (DMACC Continuing Education AI & ChatGPT courses, Nucamp AI Essentials for Work 15-week bootcamp - registration).

The practical payoff is clear: validated prompts that free staff for high‑touch service and deliver measurable revenue and efficiency improvements.

Program	Format / Length	Early bird cost
DMACC Continuing Education (AI & ChatGPT)	Short courses; in‑person & online	Contact DMACC
Nucamp - AI Essentials for Work	15 Weeks	$3,582

“Don't get lazy and use it as a silver bullet.” - Ollie Miles, Secret Escapes