List of CloudEngage AnswerDash Customers
Portland, 97204, OR,
United States
Since 2010, our global team of researchers has been studying CloudEngage AnswerDash 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 CloudEngage AnswerDash 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 CloudEngage AnswerDash for Natural Language Processing include: Talking Rain Beverage Company, a United States based Manufacturing organisation with 500 employees and revenues of $341.0 million, Namecheap.Com, a United States based Professional Services organisation with 1700 employees and revenues of $336.0 million, United States Green Building Council, a United States based Non Profit organisation with 1500 employees and revenues of $150.0 million, Moo, a United Kingdom based Professional Services organisation with 420 employees and revenues of $105.0 million, Tile Inc., a United States based Retail organisation with 400 employees and revenues of $100.0 million and many others.
Contact us if you need a completed and verified list of companies using CloudEngage AnswerDash, 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.
The CloudEngage AnswerDash 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 software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
Apply Filters For Customers
| 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.
|
|
|
|
Non Profit | 10 | $1M | United States | CloudEngage | CloudEngage AnswerDash | Natural Language Processing | 2022 | n/a |
|
|
|
|
Professional Services | 10 | $1M | United States | CloudEngage | CloudEngage AnswerDash | Natural Language Processing | 2020 | n/a |
|
|
|
|
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 |
|
Buyer Intent: Companies Evaluating CloudEngage AnswerDash
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||