List of BOTSHOT Freddie Customers
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Since 2010, our global team of researchers has been studying BOTSHOT Freddie 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 BOTSHOT Freddie 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 BOTSHOT Freddie for Chatbots and Conversational AI include: Taj Hotels India, a India based Leisure and Hospitality organisation with 40726 employees and revenues of $942.0 million, Marriott India, a India based Leisure and Hospitality organisation with 250 employees and revenues of $250.0 million and many others.
Contact us if you need a completed and verified list of companies using BOTSHOT Freddie, 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 BOTSHOT Freddie 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 | Insight Source |
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Marriott India | Leisure and Hospitality | 250 | $250M | India | BOTSHOT | BOTSHOT Freddie | Chatbots and Conversational AI | 2025 | n/a | In 2025 Marriott India implemented BOTSHOT Freddie, a Chatbots and Conversational AI application, to reduce missed calls and automate guest outreach across its properties in India. The deployment converted missed calls into WhatsApp and chat interactions to capture potential bookings and to streamline workflows in the customer support and CRM area. BOTSHOT Freddie was configured to intercept missed-call triggers and initiate automated WhatsApp chat flows that qualify guest intent and surface booking opportunities. Functional capabilities implemented included missed-call capture and conversion, conversational chat flow orchestration, automated outbound outreach sequencing, and handoff logic to reservations and CRM workflows. Configuration focused on conversational intent classification, message templates for guest engagement, and rules to escalate high intent interactions to human agents. The BOTSHOT case study documents a 30-day implementation in India and an operational scope spanning Marriott properties in the country, impacting front desk, reservations, and guest service touchpoints. Governance centered on aligning automated outreach with existing reservations and CRM processes and on operationalizing chat handoffs for staff handling bookings. Outcomes reported by BOTSHOT included substantial reductions in missed-call abandonments and estimated incremental revenue gains per property. | |
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Taj Hotels India | Leisure and Hospitality | 40726 | $942M | India | BOTSHOT | BOTSHOT Freddie | Chatbots and Conversational AI | 2025 | n/a | In 2025, Taj Hotels India deployed BOTSHOT Freddie to power a Request Management System across its portfolio of properties. The deployment targeted operations and customer support, using BOTSHOT Freddie in the Chatbots and Conversational AI category to automate guest request intake and centralize executive reporting. Implementation focused on conversational intake and workflow automation, with BOTSHOT Freddie configured to capture guest requests via natural language, normalize request data, and route items into operational queues. The configuration included automated request routing, escalation logic, and consolidated reporting dashboards to support multi property performance analysis. These functional modules constitute the core Request Management System capability delivered by BOTSHOT Freddie. Architecturally, BOTSHOT Freddie was integrated with the hotel FCS to relay fulfillment status and to surface request outcomes into consolidated reports, enabling cross property visibility. The vendor case study documents a 30 day implementation in India, which covered integration, configuration, and initial operational rollout across multiple properties. Operational scope centered on the operations and customer support functions with centralized reporting at the C level. Reported outcomes include reduced manual intervention, faster request fulfilment, and consolidated reporting for multi property performance analysis as described in the vendor case study. Governance adjustments emphasized centralized reporting workflows and operational dashboards to feed C level decision making. |
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