List of Microsoft QnA Maker Customers
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Since 2010, our global team of researchers has been studying Microsoft QnA Maker 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 Microsoft QnA Maker for Natural Language Processing 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 Microsoft QnA Maker for Natural Language Processing include: Microsoft, a United States based Professional Services organisation with 221000 employees and revenues of $243.00 billion, Boots, a United Kingdom based Retail organisation with 51000 employees and revenues of $8.84 billion, City of Corona, a United States based Government organisation with 2000 employees and revenues of $337.0 million, Alexander Mann Solutions, a United Kingdom based Professional Services organisation with 8059 employees and revenues of $324.0 million and many others.
Contact us if you need a completed and verified list of companies using Microsoft QnA Maker, 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 |
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Alexander Mann Solutions | Professional Services | 8059 | $324M | United Kingdom | Microsoft | Microsoft QnA Maker | Natural Language Processing | 2018 | n/a |
In 2018, Alexander Mann Solutions implemented Microsoft QnA Maker to build an internal travel policy chatbot named Travis. The project used Microsoft QnA Maker within the Natural Language Processing category to deliver instant answers on travel policy across the firm's EMEA operations, targeting the process area of travel and employee services to reduce routine inquiries from employees.
Alexander Mann Solutions configured Microsoft QnA Maker to create and manage Q&A pairs and implemented logging of question and answer exchanges to support iterative improvement of responses. The implementation focused on knowledge base curation, question matching, and ongoing content refinement driven by logged interactions, with the Microsoft QnA Maker knowledge base powering conversational lookups of policy rules and exceptions.
Pilots ran in early 2018 with a planned wider rollout in July 2018, reflecting a staged governance approach that relied on pilot feedback and logged Q&A pairs to refine content before scaling. Operational coverage was internal employees in EMEA, and the business functions impacted included employee services and corporate travel management, with the Business Travel News case study explicitly stating QnA Maker was used to create and log Q&A pairs for ongoing improvement and to reduce routine inquiries.
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Boots | Retail | 51000 | $8.8B | United Kingdom | Microsoft | Microsoft QnA Maker | Natural Language Processing | 2020 | n/a |
In 2020, Boots deployed Microsoft QnA Maker as part of an Azure Bot powered pharmacy chatbot on Boots.com to answer common customer queries and deflect calls for its retail pharmacy business in the United Kingdom. Microsoft QnA Maker, classified under Natural Language Processing, was used to build a maintainable QnA knowledge base and to enable business users to author and update FAQs, supporting customer service/retail e-commerce workflows for the pharmacy operation.
The implementation integrated Microsoft QnA Maker with the site front end via Azure Bot Service so conversational responses could be surfaced on the web channel, with the QnA knowledge base serving as the primary response module for common pharmacy queries and standard FAQs. Governance emphasized business user authored content and rapid iteration, and the Microsoft customer story documents rapid early adoption with about 2,500 interactions in the first 24 hours as an early usage signal.
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City of Corona | Government | 2000 | $337M | United States | Microsoft | Microsoft QnA Maker | Natural Language Processing | 2018 | Redapt, formerly Attunix |
In 2018, the City of Corona implemented Microsoft QnA Maker to power a public-facing chatbot for citizen services. Microsoft QnA Maker is in the Natural Language Processing category and was deployed alongside other Azure Cognitive Services to surface answers to citizen FAQs and reduce call volume.
The deployment centralized an editable knowledge base as the primary content store for QnA pairs and authored responses, enabling nontechnical content owners to update FAQs and control answer phrasing. Configuration emphasized question and answer mapping, automated retrieval ranking, and fallback handling to route unanswered queries to human channels, consistent with Natural Language Processing workflows.
Attunix, now operating as Redapt, served as the systems integrator and built the chatbot using QnA Maker and additional Azure Cognitive Services, hosting the solution as a public facing conversational interface for residents in the United States. Operational scope targeted citizen services and customer support processes across the City of Corona, leveraging Azure hosted services for runtime and knowledge management.
Governance centered on a single editable knowledge base and content update workflows to maintain accuracy and reduce staff handling time, and the City of Corona reported improved response times and staff efficiency alongside lower contact center volume as outcomes documented in the case study.
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Professional Services | 221000 | $243.0B | United States | Microsoft | Microsoft QnA Maker | Natural Language Processing | 2019 | n/a |
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