List of Pand.AI Platform Customers
Since 2010, our global team of researchers has been studying Pand.AI Platform 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 Pand.AI Platform 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 Pand.AI Platform for Chatbots and Conversational AI include: Allianz, a Germany based Banking and Financial Services organisation with 156626 employees and revenues of $140.34 billion, Burberry Group, a United Kingdom based Retail organisation with 9201 employees and revenues of $4.02 billion, Schroders, a United Kingdom based Banking and Financial Services organisation with 6071 employees and revenues of $3.21 billion, Alstom Signalling UK, a United Kingdom based Manufacturing organisation with 6000 employees and revenues of $1.83 billion, Tokio Marine Insurance Group (Asia), Singapore, a Singapore based Insurance organisation with 250 employees and revenues of $80.0 million and many others.
Contact us if you need a completed and verified list of companies using Pand.AI Platform, 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 Artificial Intelligence software purchases.
The Pand.AI Platform 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 Artificial Intelligence 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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Allianz | Banking and Financial Services | 156626 | $140.3B | Germany | Pand.ai | Pand.AI Platform | Chatbots and Conversational AI | 2019 | n/a |
In 2019, Allianz implemented the Pand.AI Platform to extend conversational engagement across sales and marketing and customer engagement functions, leveraging the Pand.ai vendor offering in the Chatbots and Conversational AI category. The Pand.AI Platform was positioned to support international and regional financial services workflows, consistent with Pand.ai statements that it serves firms such as Allianz, Great Eastern, Schroders, and Tokio Marine.
The implementation emphasized core Chatbots and Conversational AI capabilities, including natural language understanding, intent classification, dialog management, conversation flow authoring, and model training pipelines. The Pand.AI Platform deployment included analytics and monitoring modules for conversation performance and iteration, enabling ongoing training of conversational models and supervised labeling of intents.
Operational deployment focused on omnichannel conversational touchpoints typical for the category, with connectors for web chat and messaging channels and handoff paths to human agents for complex cases. The rollout targeted sales, marketing, and customer engagement teams, aligning conversational scripts and lead qualification flows with those business functions.
Governance practice established content approval workflows, conversation versioning, and periodic model retraining cycles to manage risk and compliance in regulated financial services environments. Operational ownership rested with commercial and customer experience stakeholders, supported by data science and operations personnel to maintain conversation models and update conversational logic.
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Alstom Signalling UK | Manufacturing | 6000 | $1.8B | United Kingdom | Pand.ai | Pand.AI Platform | Chatbots and Conversational AI | 2010 | n/a |
In 2010, Alstom Signalling UK implemented the Pand.AI Platform, a Chatbots and Conversational AI application to deliver employee-facing conversational services across its UK operations. The deployment targeted workforce self-service and frontline employee engagement for a manufacturing organization with about 6000 employees, embedding conversational access into web channels used by staff.
The Pand.AI Platform was configured with core Chatbots and Conversational AI capabilities, including natural language understanding and intent classification, dialogue orchestration, and a managed knowledge base for HR and scheduling queries. Dialog flows were organized to support authentication flows, role based content segmentation, and human escalation paths, with configuration focused on scripted workforce interactions and contextual query resolution.
Operational integration included a connection to Kronos Workforce Central as surfaced on Alstom's Kronos web access, enabling the chatbot to surface scheduling and timekeeping information and to route workforce management inquiries into HR and operations processes. Governance emphasized centralized intent management and content ownership by HR and workforce operations teams, aligning conversational workflows to existing scheduling and employee support procedures.
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Burberry Group | Retail | 9201 | $4.0B | United Kingdom | Pand.ai | Pand.AI Platform | Chatbots and Conversational AI | 2012 | n/a |
In 2012, Burberry Group deployed the Pand.AI Platform for Chatbots and Conversational AI on its customer-facing website. The Pand.AI Platform was provisioned as a web-based conversational layer to handle product inquiries, guided navigation, and initial customer service triage for online retail interactions.
The implementation configured standard category modules including natural language understanding, intent classification, dialogue management, response content management, session handling, and human escalation workflows. Configuration work included mapping retail intent taxonomies to product catalog queries and common service scenarios, and establishing conversational templates for scripted responses and dynamic content retrieval.
On the website the Pand.AI Platform operated alongside Kronos Workforce Central, which Burberry uses on its site. The deployment focused on customer service and e-commerce facing functions, routing unresolved conversations to human agents and capturing conversation logs for back-office analytics and quality review.
Governance established content approval processes, a model retraining cadence driven by intent performance, and formal escalation protocols between automated intents and customer service agents, with operational ownership assigned to digital and customer service teams. Implementation documentation emphasized conversational change control and ongoing intent taxonomy maintenance to sustain accuracy and alignment with retail workflows.
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Banking and Financial Services | 6071 | $3.2B | United Kingdom | Pand.ai | Pand.AI Platform | Chatbots and Conversational AI | 2019 | n/a |
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Insurance | 250 | $80M | Singapore | Pand.ai | Pand.AI Platform | Chatbots and Conversational AI | 2017 | n/a |
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