List of inflow Customers
Munich, 81667,
Germany
Since 2010, our global team of researchers has been studying inflow customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased inflow for Chatbots and Conversational AI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using inflow for Chatbots and Conversational AI include: H-Hotels, a Germany based Leisure and Hospitality organisation with 2500 employees and revenues of $395.0 million, Dormero Hotels AG, a Germany based Leisure and Hospitality organisation with 1000 employees and revenues of $100.0 million, Manuel Levinger Kur- Und Sporthotel Allgaeu Sonne, a Germany based Leisure and Hospitality organisation with 100 employees and revenues of $10.0 million, Hotel Hohe Wacht, a Germany based Leisure and Hospitality organisation with 50 employees and revenues of $5.0 million, Yachthotel Chiemsee, a Germany based Leisure and Hospitality organisation with 80 employees and revenues of $5.0 million and many others.
Contact us if you need a completed and verified list of companies using inflow, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The inflow customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Auersperg | Leisure and Hospitality | 40 | $5M | Austria | LiveRate | inflow | Chatbots and Conversational AI | 2018 | n/a |
In 2018, Auersperg deployed inflow on its public website to introduce conversational self-service capabilities. The deployment uses inflow as a Chatbots and Conversational AI solution to handle front-of-house guest inquiries, frequently asked questions, and basic booking guidance for the leisure and hospitality business. The implementation is web-embedded, routing initial visitor interactions through the inflow conversational interface and surfacing structured responses aligned with hospitality customer service workflows. Auersperg configured inflow to present scripted conversation paths and content managed through the application interface, enabling marketing and reception teams to update messaging without code. The rollout focused on site-level coverage for the company website, with operational ownership placed in guest services and digital communications, and governance centered on content review and conversational script maintenance by internal staff.
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Dormero Hotels AG | Leisure and Hospitality | 1000 | $100M | Germany | LiveRate | inflow | Chatbots and Conversational AI | 2017 | n/a |
In 2017, Dormero Hotels AG deployed inflow from LiveRate as a website conversational layer. inflow is implemented as a website-facing solution in the Chatbots and Conversational AI category to support guest engagement and on-site booking assistance. The implementation is observable on the corporate site, using x on their website.
Configuration centered on a customer-facing conversational widget with scripted booking flows, natural language FAQ handling, intent routing, and fallback escalation to human agents through existing contact channels. Operational coverage targets guest services and reservations workflows, with conversational content and interaction logic governed through a staged editorial and QA process to manage dialog updates. The deployment emphasizes web channel automation and front-line service orchestration while retaining human hand-off controls for complex requests.
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H-Hotels | Leisure and Hospitality | 2500 | $395M | Germany | LiveRate | inflow | Chatbots and Conversational AI | 2017 | n/a |
In 2017, H-Hotels implemented inflow on their website as a Chatbots and Conversational AI solution. The deployment embedded inflow across public-facing pages on h-hotels.com to create a conversational entry point for guest inquiries, with a focus on reservations and pre-stay information.
inflow was configured to provide guided conversational flows and automated FAQ handling, using natural language understanding for intent detection, slot filling to capture booking details, and session management to maintain multi-turn dialogs. The implementation included conversational handoff logic to route complex cases to human agents and scripted flows to capture contact and reservation intent.
Operationally inflow served as the web-facing conversational layer, capturing web-originated interactions and routing them into existing contact channels and reservation workflows. The scope of coverage emphasized guest services and reservations teams, centralizing web chat interactions while preserving existing operational touchpoints for escalation.
Governance focused on centralized content management for conversational scripts and iterative intent training, with staged updates to dialogs and seasonal messaging. Ongoing operational processes were established to maintain conversational accuracy and align inflow behavior with hospitality service standards.
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Hotel Hohe Wacht | Leisure and Hospitality | 50 | $5M | Germany | LiveRate | inflow | Chatbots and Conversational AI | 2018 | n/a |
In 2018 Hotel Hohe Wacht deployed inflow on its public website, adopting inflow as its Chatbots and Conversational AI solution for guest engagement and web based service automation. The deployment targeted guest facing workflows such as pre arrival inquiries and basic booking assistance, reflecting a perimeter web deployment rather than back office automation.
Configuration centered on conversational flows and FAQ modules, with scripted flows for room information, availability queries, and common guest requests. The inflow implementation was embedded as a web widget on the hotel's website, configured to capture contact details and to escalate to human staff via the hotel's existing contact channels when needed. Content and conversation trees were maintained through the inflow administration interface by hotel staff.
Operational scope encompassed guest services and front desk functions at the single Hotel Hohe Wacht site in Germany, with day to day governance held by the hotel's operations team. The implementation emphasized iterative tuning of conversational content and regular updates to FAQs to reflect seasonal offerings and rate changes.
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Manuel Levinger Kur- Und Sporthotel Allgaeu Sonne | Leisure and Hospitality | 100 | $10M | Germany | LiveRate | inflow | Chatbots and Conversational AI | 2018 | n/a |
In 2018, Manuel Levinger Kur- Und Sporthotel Allgaeu Sonne implemented inflow from LiveRate on its public website. inflow acts as the hotel's Chatbots and Conversational AI layer, configured to handle guest inquiries and assist with online booking workflows through a web-embedded chat interface visible on the property website.
Configuration centered on conversational flows, FAQ automation, reservation assistance, and intent recognition, with a lightweight administrative console used by front desk staff to maintain content and update scripts. The deployment follows a vendor-provisioned web widget architecture where conversational state and session routing are managed by the inflow application, and operational scope is focused on guest services and reservations, governed by property-level content ownership and iterative script updates.
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Leisure and Hospitality | 80 | $5M | Germany | LiveRate | inflow | Chatbots and Conversational AI | 2019 | n/a |
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