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Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

List of CloudEngage AnswerDash Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
3R Technology Retail 11 $1M United States CloudEngage CloudEngage AnswerDash Natural Language Processing 2022 n/a
In 2022, 3R Technology implemented CloudEngage AnswerDash on their website. CloudEngage AnswerDash is a Natural Language Processing application embedded as a client-side conversational help layer to provide contextual assistance and automated answers for retail customer journeys. The implementation centers on typical Natural Language Processing capabilities, including intent classification, contextual answer retrieval, and a conversational UI, with configuration focused on authoring site content into answer assets and tuning intent models to align with product and checkout pages. Operational scope is limited to the public website and impacts customer support and online sales assistance, with content governance and administrative configuration expected to be managed by internal marketing or support staff using CloudEngage AnswerDash native knowledge management and analytics tooling for monitoring and iterative updates.
BikesOnline USA Retail 25 $2M United States CloudEngage CloudEngage AnswerDash Natural Language Processing 2019 n/a
In 2019, BikesOnline USA deployed CloudEngage AnswerDash on its website to provide on‑site customer assistance. CloudEngage AnswerDash is implemented as a Natural Language Processing application to surface contextual answers and guide shoppers through product discovery and purchasing flows. The implementation focuses on core Natural Language Processing capabilities, including intent classification, contextual question and answer retrieval, conversational UI for on‑page assistance, and knowledge base indexing for product and policies content. CloudEngage AnswerDash was configured to parse shopper queries, map intents to curated content, and present dynamic suggestions within the site experience. Deployment is executed as an embedded site widget on BikesOnline USA web pages, operated by the ecommerce and customer support teams and accessible to online shoppers. The scope is strictly the customer-facing website, with the application serving product pages, help flows, and checkout context. Governance centered on content curation and model tuning workflows, with BikesOnline USA establishing review processes for knowledge base updates and periodic retraining of intent models. Rollout followed a staged configuration and tuning approach, with ongoing maintenance handled by internal staff responsible for site content and support operations.
Capitol Auto Automotive 10 $1M United States CloudEngage CloudEngage AnswerDash Natural Language Processing 2022 n/a
In 2022, Capitol Auto deployed CloudEngage AnswerDash, a Natural Language Processing application, on its public website. CloudEngage AnswerDash is implemented as the customer-facing conversational layer to provide contextual help and query handling for site visitors, supporting natural language query interpretation and FAQ matching. The implementation is delivered as an embedded client-side widget integrated into Capitol Auto web pages, configured for intent recognition and contextual assistance consistent with Natural Language Processing capabilities. Operational scope is customer-facing functions such as online support and lead capture, with configuration and content governance maintained by Capitol Auto website administrators through the CloudEngage AnswerDash administrative interface.
Center Hill Baptist Church Non Profit 10 $1M United States CloudEngage CloudEngage AnswerDash Natural Language Processing 2022 n/a
In 2022, Center Hill Baptist Church deployed CloudEngage AnswerDash on its public website, implementing a Natural Language Processing solution to handle visitor inquiries. The deployment focused on a web embedded CloudEngage AnswerDash widget available across centerhill.org to provide conversational access to site information. CloudEngage AnswerDash was configured to build a knowledge base from published site content and manually curated Q and A, leveraging natural language understanding and intent classification common to Natural Language Processing platforms. The implementation delivered conversational FAQ handling, contextual suggestions of relevant pages, and an administrative console for content editing and response tuning. Configuration priorities reflected the organization's size, emphasizing simple workflows for nontechnical staff to update answers and train the model. Operational governance assigned content ownership to church administrators who maintain the AnswerDash admin console and oversee content moderation and periodic retraining. The architecture consisted of a client side widget embedded in the website front end, connecting to CloudEngage hosted NLP services for inference and analytics. The scope remained site centric, with fallbacks directed to existing web contact channels for inquiries requiring human follow up.
Cloudengage Professional Services 10 $1M United States CloudEngage CloudEngage AnswerDash Natural Language Processing 2020 n/a
In 2020, Cloudengage deployed CloudEngage AnswerDash on its public website to provide a customer-facing Natural Language Processing layer for self-service and conversational support. The implementation uses an embedded conversational widget that indexes site content and the company knowledge base to deliver real-time question answering and guided navigation for prospects and customers. CloudEngage AnswerDash serves customer support and marketing functions, handling user queries directly on web pages. Configuration centered on Natural Language Processing capabilities typical of the category, including intent detection, conversational search across site content, and FAQ response orchestration, with administrative controls for content authoring and response tuning. Operational governance is managed by Cloudengage’s services team, who maintain the knowledge base, curate response templates, and iterate conversational triggers to align with support workflows. The deployment is live on the website as the primary conversational interface, with monitoring and usage analytics configured to inform ongoing content updates.
Professional Services 69 $7M United States CloudEngage CloudEngage AnswerDash Natural Language Processing 2016 n/a
Professional Services 10 $1M United States CloudEngage CloudEngage AnswerDash Natural Language Processing 2015 n/a
Professional Services 10 $1M United States CloudEngage CloudEngage AnswerDash Natural Language Processing 2016 n/a
Professional Services 10 $1M Canada CloudEngage CloudEngage AnswerDash Natural Language Processing 2017 n/a
Media 150 $25M United States CloudEngage CloudEngage AnswerDash Natural Language Processing 2023 n/a
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Buyer Intent: Companies Evaluating CloudEngage AnswerDash

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FAQ - APPS RUN THE WORLD CloudEngage AnswerDash Coverage

CloudEngage AnswerDash is a Natural Language Processing solution from CloudEngage.

Companies worldwide use CloudEngage AnswerDash, from small firms to large enterprises across 21+ industries.

Organizations such as Talking Rain Beverage Company, Namecheap.Com, United States Green Building Council, Moo and Tile Inc. are recorded users of CloudEngage AnswerDash for Natural Language Processing.

Companies using CloudEngage AnswerDash are most concentrated in Manufacturing, Professional Services and Non Profit, with adoption spanning over 21 industries.

Companies using CloudEngage AnswerDash are most concentrated in United States and United Kingdom, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of CloudEngage AnswerDash across Americas, EMEA, and APAC.

Companies using CloudEngage AnswerDash range from small businesses with 0-100 employees - 65.38%, to mid-sized firms with 101-1,000 employees - 23.08%, large organizations with 1,001-10,000 employees - 11.54%, and global enterprises with 10,000+ employees - 0%.

Customers of CloudEngage AnswerDash include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified CloudEngage AnswerDash customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Natural Language Processing.