Lotte Hotels & Resorts builds a hyper-automated work culture with Microsoft Power Platform
Lotte Hotels & Resorts deployed Microsoft Power Platform, including Power Automate and Power Apps, with partners Lotte Data Communication and DEX Consulting, letting non-developer 'citizen developer' employees automate tasks after an eight-week training program. RPA applied to database refinement allowed over 50,000 pieces of data to be processed automatically that previously took 25 people nearly a month, and reservation automation across 17 hotel properties reduced 10,000 work hours per year.
Overview
Lotte Hotels & Resorts deployed Microsoft Power Platform, including Power Automate and Power Apps, with partners Lotte Data Communication and DEX Consulting, letting non-developer 'citizen developer' employees automate tasks after an eight-week training program. RPA applied to database refinement allowed over 50,000 pieces of data to be processed automatically that previously took 25 people nearly a month, and reservation automation across 17 hotel properties reduced 10,000 work hours per year.
The challenge
Lotte Hotels & Resorts wanted to scale RPA automation of simple, repetitive tasks across the company, but traditional RPA required a license for each unit and was a technical and financial burden to adopt and maintain, since the operating system needed continuous upgrades and adjustment.
The solution
Lotte Hotels & Resorts adopted Microsoft Power Platform, including Power Automate and Power Apps, to let non-developer 'citizen developer' employees build their own automations, deployed in local data centers in Korea. Partners Lotte Data Communication and DEX Consulting built the Power Platform environment and ran an in-house eight-week training program per department, after which employees built RPA services for their own jobs; the company applied RPA to room reservations and to refining databases.
Reported business value
RPA applied to database refinement allowed over 50,000 pieces of data to be processed automatically in a short time, work that previously took 25 people nearly a month. Reservation automation across 17 hotel properties reduced 10,000 work hours per year and eliminated human errors from manual entry of externally-booked reservations into the OPERA reservation system.
Sources
Open any source and check the claim yourself — that is the point of the register.
This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
Other travel & hospitality entries in the register.
Transforming customer service with agentic AI and Amazon Nova at Ryanair
Ryanair, Europe's largest airline, built a customer service AI assistant on Amazon Bedrock AgentCore powered by Amazon Nova 2 Lite, working with AWS Partner Cation Consulting, to replace an earlier architecture of 12 domain-specific agents with a single consolidated agent. The assistant handles 120,000 daily chat interactions across seven languages with an 80% containment rate and 94% accuracy, cut response latency from 18 seconds to 2.9 seconds, and combined with Amazon Connect voice automation has reduced customer service agents per passenger carried by 70% while saving over 500,000 agent hours.
Skyscanner Scales Smarter Travel Search with the Databricks Data + AI Platform
Skyscanner, which handles 35 million searches and tens of billions of events daily, built bronze, silver and gold data layers on the Databricks Data + AI Platform to create shared Cornerstone Data Products powering multiple use cases, including a flight ranking model serving 180 million predictions daily. Unity Catalog provides governance, and the company is adopting emerging agentic AI capabilities to experiment safely and surface more relevant search results for travelers.
HBX Group Automates B2B Travel Support with Google Cloud Contact Center AI and Gemini
HBX Group, a Spain-based B2B travel distribution platform connecting 60,000 travel distributors to providers in 190 countries, worked with Google Cloud partner Ayesa Digital to build an omnichannel support system on Google Cloud Contact Center AI, Dialogflow CX, ADK, and Gemini, integrated with Vonage telephony and Salesforce CRM. The system now classifies all customer service requests by category and sentiment, provides 24x7 local-language coverage via LLM two-way real-time translation, autonomously handles more than 30% of repetitive cases such as fee waivers, and automates 18% of high-volume live phone interactions through an intelligent voice channel, with a target of 80% of interactions passing through AI-automated resolution by late 2026.
JetBlue Accelerates Innovation With AI
JetBlue uses the Databricks Data + AI Platform to unify flight, aircraft, and customer data, powering its operational digital twin, Blue Sky. By streaming half a terabyte of data per flight, JetBlue gains real-time insights that enhance safety, efficiency, and customer experience, with generative AI allowing teams to query data in natural language.
Was this helpful?
Your feedback helps us improve our use case database


