/ Hospitality & Food Services
One guest record. Every property.
One guest record across every property and franchise, POS and PMS data that finally reconcile, and loyalty offers that know about last night's stay. Hospitality technology consulting for hotel groups, restaurant brands, and food service operators.
- PMS & POS integration
- Guest 360
- GDPR & CCPA
- Global scale
53 countries on one platform
For a global food services operator.
Why guest data fragments
Every guest, recognized
at every door.
The PMS knows the stay, the POS knows the dinner, and loyalty knows the points. We resolve identity across all of it, across every property and franchise, so the front desk, the app, and tomorrow's offer all greet the same person. Personalization runs on one guest record, and the welcome back means it.
53Countries on one data platform
One platform for 400,000 employees at a global food services operator, with decisions landing 22% faster.
Read the case study
/ What we build for hospitality
Aimed at the numbers a GM watches.
From Opera to Toast, we integrate the systems you already run and point the data at RevPAR, waste, and labor cost.
01
Global data unification
Data from hundreds of locations worldwide consolidated into a single source of truth with real-time operational visibility. We have run this at full scale: 400,000+ employees connected across 53 countries on one platform.
AzureDatabricksPower BISAP integration
Azure
Databricks
Power BI02
Guest 360 & loyalty personalization
Unified guest profiles across properties, brands, and franchisees, powering offers that know about last night’s stay. For one major hotel chain that meant an 18% lift in loyalty engagement, 1.8x ROI on marketing spend, and guests recognized 22% faster.
Salesforce CDPSnowflakeBrazeIdentity resolution
Salesforce CDP
Snowflake
Braze03
Supply chain optimization
Demand forecasting and inventory optimization that cut waste without emptying the shelf. AI-driven ordering has delivered 15% waste reduction and 22% inventory optimization across food service operations.
Demand forecastingPredictive orderingInventory optimizationWaste reduction
04
Workforce management
Staffing levels optimized with AI-driven scheduling that balances labor cost against service quality. The GM sees the labor line move; the team stops getting scheduled against their own availability.
AI schedulingLabor costWorkforce analyticsForecast accuracy
05
Revenue management
Dynamic pricing and revenue optimization on real-time market data and demand signals, with competitive rate intelligence built in. One engagement moved RevPAR up 8%, which is the number the whole exercise answers to.
Dynamic pricingRevPARRate intelligenceDemand signals
06
Operational analytics
Real-time dashboards and KPI tracking across every location: executive views, location benchmarking, and the franchise scorecards that keep owners and operators reading the same numbers.
Executive dashboardsLocation benchmarkingPower BIFranchise analytics
/ Hospitality capabilities
Built for both sides of the house.
The operating realities of running many brands, regions, and franchisees on one platform, handled in the design rather than discovered in month three.
Multi-brand management
Unified systems across brands
Global operations
Multi-region, multi-currency
POS integration
All major systems supported
Food safety compliance
HACCP and regulatory tracking
Guest privacy
GDPR and CCPA compliant
Franchise analytics
Owner and operator dashboards
/ Results
Global operations, one set of numbers.
Global Food Services Operator
53Countries on one data platform
One platform for 400,000 employees replacing dozens of regional reporting stacks, with decisions landing 22% faster.
Read the story
Fortune 500 Convenience Retail Chain
30%Reduction in data latency
A governed Databricks lakehouse across 600+ locations, with real-time inventory visibility and zero downtime through the cutover.
Read the Databricks story
Global Financial Services Firm
90dFrom prototype to production
Azure Data Lake, Databricks, AKS, and Synapse connected into one governed foundation for analytics and machine learning.
Read the Azure Lakehouse story/ How an engagement runs
Five phases. No mystery.
01
Assess
Weeks 1 to 2
Inventory the estate: PMS, POS, booking, loyalty, and where guest identity breaks between them. Pick the first metric worth moving.
02
Architect
Weeks 2 to 4
Platform and identity design, with GDPR and CCPA consent handling decided up front instead of bolted on after the first audit.
03
Build
Weeks 4 to 12
Integrations from Opera, Toast, and the booking and loyalty channels into one governed platform, shipped in increments.
04
Prove
Measure against your current program: loyalty lift, RevPAR, waste, labor cost. Baseline first, then report against it.
05
Run
Around-the-clock operations under SLAs, or a clean handover to your team with runbooks that survive a shift change.
The guest record is a marketing engine too.
Once identity resolves across PMS, POS, and loyalty, the same record powers journeys, offers, and campaigns that actually know the guest. That is our MarTech and CDP practice, and hospitality is where it shows off.
MarTech & CDP/ Why ACI
Why hospitality groups build with us
/ Scale
Founded 2006.
1,200+ engineers across 11 global delivery hubs. 500+ enterprise projects.
/ Global reach
We have connected 400,000+ employees across 53 countries onto one data platform for a global food services operator.
/ Compliance
ISO 27001 certified and CMMI Level 3 appraised.
Guest privacy handled to GDPR and CCPA from the first design.
/ Operations
24/7 managed operations under published SLAs.
Hotels do not close, and neither does the platform.
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Read/ Hospitality FAQ
Hospitality questions,
answered straight.
Can you unify guest data across properties and franchises?
Yes. We build one guest profile across properties, brands, and franchisees, with identity resolution that survives a loyalty number typed wrong at the front desk. That single record is what personalization actually runs on.
Do you integrate POS and PMS systems?
Both sides of the house: PMS platforms like Opera and POS systems like Toast, plus booking and loyalty channels, feeding one governed platform instead of a folder of nightly exports.
How does loyalty personalization get better?
Offers and journeys read the unified guest record, so a guest who checked out this morning is not greeted like a stranger by tomorrow's email. We measure lift against your current program before claiming anything.
How do you handle GDPR and CCPA for guest data?
Consent tracking, retention rules, and deletion workflows built into the platform, so a subject access request is a routine job instead of a scramble across ten systems.
What results should a hotel or restaurant group expect?
Movement in the numbers you already run the business on: RevPAR, direct booking share, waste, labor cost. We baseline first, pick one metric per phase, and report against it.