List of AlloReview AlloBot Customers
Paris, 75013,
France
Since 2010, our global team of researchers has been studying AlloReview AlloBot 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 AlloReview AlloBot 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 AlloReview AlloBot for Chatbots and Conversational AI include: SNCF, a France based Transportation organisation with 276000 employees and revenues of $45.59 billion, Groupe ADP, formerly Paris Aeroport, a France based Transportation organisation with 29330 employees and revenues of $7.11 billion, Club Med, a France based Leisure and Hospitality organisation with 16118 employees and revenues of $2.25 billion and many others.
Contact us if you need a completed and verified list of companies using AlloReview AlloBot, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Club Med | Leisure and Hospitality | 16118 | $2.3B | France | AlloReview | AlloReview AlloBot | Chatbots and Conversational AI | 2023 | n/a | In 2023 Club Med deployed AlloReview AlloBot and AlloIntelligence to power an internal TED Copilot for contact-center agents and a multilingual customer-facing WhatsApp assistant. The project is aligned with the Apps Category . The implementation focused on conversational AI capabilities, using AlloReview AlloBot for intent classification, automated triage and response generation, and AlloIntelligence for monitoring and analytics to support agent workflows. Work on AlloBot began in H2 2023 according to the vendor case study, with configuration targeting multilingual natural language understanding and agent copilot interactions. Operationally the solution was applied to CRM and contact-center operations across multiple countries, delivering a customer-facing WhatsApp assistant that entered rollout in 2024. The WhatsApp agent achieved approximately 50% automation of WhatsApp interactions and accelerated handling, with the vendor reporting 60% faster processing and a measurable lift in CSAT. Governance was structured around contact-center workflow integration and staged rollout, with AlloIntelligence providing visibility for monitoring intent accuracy and handoff to human agents. The deployment centralized conversational routing and agent assist functions, improving operational consistency across customer service channels. | |
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Groupe ADP, formerly Paris Aeroport | Transportation | 29330 | $7.1B | France | AlloReview | AlloReview AlloBot | Chatbots and Conversational AI | 2023 | n/a | In 2023 Groupe ADP implemented AlloReview AlloBot and AlloIntelligence to automate airport contact-center calls across Paris airports as part of a Contact Center Automation initiative. The deployment targeted high-volume, low-complexity inbound voice inquiries to reduce wait times and improve first contact handling for passenger-facing services. The AlloReview AlloBot implementation centered on conversational call handling, natural language understanding for intent classification, automated responses for routine queries, and escalation workflows to live agents for complex cases. Configuration work focused on intent taxonomies, scripted voice flows, and integration points for live handoff, while AlloIntelligence provided analytics to tune automation thresholds and intent coverage. Operational coverage extended across Paris airports and contact-center operations, with the rollout initiated in 2023 and broader live improvements reported by 2024. The deployment impacted passenger services and frontline contact-center teams through automation of routine inquiries and revised agent escalation procedures. Vendor-reported outcomes from the case study include approximately 40% automation in year 1 rising to about 55% over time, materially reduced wait times, significant annual cost savings, and large drops in abandonment rates as automation coverage increased. | |
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SNCF | Transportation | 276000 | $45.6B | France | AlloReview | AlloReview AlloBot | Chatbots and Conversational AI | 2023 | n/a | In 2023 SNCF implemented AlloReview AlloBot for customer experience/CRM to collect and analyze passenger feedback across the Grand-Est region. The deployment concentrated on TER stations and used QR codes and a dedicated phone number to capture passenger input directly at point of service. AlloReview AlloBot was operated together with AlloIntelligence to provide real-time verbatim analysis and automated response scenarios. Functional capabilities implemented included feedback capture workflows, natural language verbatim analytics, automated categorization and tagging of issues, and response orchestration for frontline teams. The solution was provisioned through QR code and phone channels in station environments, routing incoming feedback into the AlloReview AlloBot processing pipeline for immediate analysis. Operational coverage centered on passenger-facing operations in the Grand-Est region and the TER station network, with results surfaced to station staff and customer experience teams. Governance for the rollout emphasized rapid observation and iterative tuning, the vendor case study reports outcomes observed quickly after the 2023 rollout. Reported results included a threefold increase in feedback volume and fifteen times more areas for improvement surfaced, with automated response scenarios handling initial passenger outreach. |
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