List of Spotler OBI4wan OBI Bots Customers
Zaandam, 1506 MA,
Netherlands
Since 2010, our global team of researchers has been studying Spotler OBI4wan OBI Bots 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 Spotler OBI4wan OBI Bots 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 Spotler OBI4wan OBI Bots for Chatbots and Conversational AI include: ING Nederland, a Netherlands based Banking and Financial Services organisation with 55901 employees and revenues of $20.05 billion, Bol.com Netherlands, a Netherlands based Retail organisation with 3000 employees and revenues of $3.13 billion, Royal Schiphol Group Netherlands, a Netherlands based Transportation organisation with 2000 employees and revenues of $2.45 billion and many others.
Contact us if you need a completed and verified list of companies using Spotler OBI4wan OBI Bots, 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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Bol.com Netherlands | Retail | 3000 | $3.1B | Netherlands | Spotler | Spotler OBI4wan OBI Bots | Chatbots and Conversational AI | 2016 | n/a | In 2016, Bol.com Netherlands implemented Spotler OBI4wan OBI Bots as part of a Chatbots and Conversational AI initiative to support webcare, media monitoring and customer engagement across the Benelux region. The deployment centered on Spotler OBI4wan for social listening and media monitoring, with OBI Bots introduced to extend automated conversational handling across social and messaging channels. This implementation positioned the application to address CRM and customer service interactions managed via social channels and messaging platforms. Configuration included platform-level webcare workflows and media monitoring rules, content moderation queues, and conversational routing logic typical of Chatbots and Conversational AI deployments. Spotler OBI4wan OBI Bots provided virtual agent capabilities for initial triage, scripted response orchestration, and escalation handoffs to human agents when required, aligning bot behavior with established webcare playbooks. The implementation also leveraged monitoring and tagging to surface brand mentions and customer intent for downstream service workflows. Operational coverage explicitly targeted customer service and social media teams in the Benelux market, with the system used to centralize social channel support and to streamline messaging channel response handling. Integrations focused on embedding conversational touchpoints into existing customer engagement workflows, including CRM and customer service case creation processes. Governance emphasized cross-team triage procedures, content moderation standards, and iterative bot tuning cycles to maintain response accuracy and alignment with service policies. | |
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ING Nederland | Banking and Financial Services | 55901 | $20.1B | Netherlands | Spotler | Spotler OBI4wan OBI Bots | Chatbots and Conversational AI | 2016 | n/a | In 2016, ING Nederland was cited in vendor and press listings as using Spotler OBI4wan OBI Bots in the Chatbots and Conversational AI category to support social listening, webcare, and reputation management for customer service and CRM across the Benelux region. Public reporting identifies the platform relationship but does not publish a bot specific case study, so the exact scope of conversational automation is inferred from OBI4wan documented capabilities and partner integrations. Spotler OBI4wan OBI Bots was implemented to deliver social listening, webcare and reputation management capabilities alongside conversational automation. Functional capabilities deployed align with Chatbots and Conversational AI patterns, including intent based routing, canned responses and templates, sentiment analysis for prioritization, conversational management consoles for monitoring, and systematic handoff workflows from automated agents to human service representatives. Operational coverage focused on customer service and CRM teams across the Benelux region, instrumenting social media channels and webcare touchpoints for inbound customer interactions. Integrations emphasized synchronization of conversational context with CRM systems and ticket creation to preserve case history and support multichannel service continuity, with Spotler OBI4wan OBI Bots centralizing social listening signals alongside chatbot interactions. Governance and process work centered on standardizing webcare workflows, establishing escalation and supervision rules for bot to agent handoffs, and instituting content governance and training loops for conversational models. Implementation narratives position ING Nederland Spotler OBI4wan OBI Bots Chatbots and Conversational AI as a platform to unify social monitoring, webcare operations, and conversational customer service workflows. | |
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Royal Schiphol Group Netherlands | Transportation | 2000 | $2.4B | Netherlands | Spotler | Spotler OBI4wan OBI Bots | Chatbots and Conversational AI | 2015 | n/a | In 2015, Royal Schiphol Group Netherlands deployed Spotler OBI4wan OBI Bots to support digital customer service and proactive social media monitoring for passenger engagement across its Netherlands operations. The implementation aligns with the Chatbots and Conversational AI category and was positioned to extend webcare capabilities into automated conversational workflows. Spotler OBI4wan OBI Bots was configured to provide webcare management and social listening, combining automated response templates, conversational routing and bot-assisted triage to accelerate inbound inquiry handling. Configuration emphasis included monitoring rules, message tagging and scripted conversational flows to support front-line webcare teams and to hand off complex cases to human agents. Operational scope centered on digital customer service and webcare teams responsible for passenger engagement, with real time social media monitoring and alerting across major public channels used in the Netherlands. Integrations focused on channel connectors for social platforms and web messaging interfaces, and the platform was used to centralize incident detection, prioritize responses and orchestrate escalation workflows. Governance and rollout emphasized configuration of escalation policies and agent workflow alignment with passenger service processes, enabling proactive care and a faster response posture. The implementation aimed to increase proactive care and speed up responses, reflecting explicit goals stated in the deployment scope. |
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