List of Salesforce Agentforce Sales Coach Agent Customers
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Since 2010, our global team of researchers has been studying Salesforce Agentforce Sales Coach Agent 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 Salesforce Agentforce Sales Coach Agent 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 Salesforce Agentforce Sales Coach Agent for Chatbots and Conversational AI include: Bombardier, a Canada based Aerospace and Defense organisation with 17900 employees and revenues of $8.67 billion, Kawasaki United States, a United States based Automotive organisation with 3100 employees and revenues of $1.60 billion and many others.
Contact us if you need a completed and verified list of companies using Salesforce Agentforce Sales Coach Agent, 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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Bombardier | Aerospace and Defense | 17900 | $8.7B | Canada | Salesforce | Salesforce Agentforce Sales Coach Agent | Chatbots and Conversational AI | 2024 | n/a |
In 2024, Bombardier deployed Salesforce Agentforce Sales Coach Agent as part of a broader Chatbots and Conversational AI initiative to accelerate lead qualification and provide real-time sales guidance. The implementation focused on the company’s 50-person sales organization and adjacent commercial functions, centralizing customer intelligence for a luxury aircraft sales model that ranges from rapid 72 hour cycles to multi-year engagements.
The deployment combined Salesforce Agentforce Sales Coach Agent with Data Cloud, Sales Cloud, Marketing Cloud, CRM Analytics, and Einstein AI capabilities to create unified customer profiles, automated lead scoring, conversational coaching, and voice-driven CRM updates. Configurations included Einstein Lead Scoring to surface high-propensity leads, Voice to Text Sales Assist to capture sales conversations into records, and generative tools such as Copilot and Prompt Builder embedded in workflows to provide contextual next-step recommendations. Salesforce Professional Services supported design and configuration of these functional modules to align conversational AI outputs with sales playbooks.
Integrations were executed through MuleSoft to synchronize Sales Cloud with market and operational data sources, including aircraft fleet information, flight records, event attendance, mission profiles, firmographics, wealth data, and analytics feeds from systems such as SAP and Databricks. Data Cloud consolidated native Bombardier data with these external feeds into one real-time profile for each contact, enabling Sales Cloud dashboards and event-driven notifications that surface critical engagement signals. The solution preserved source-level signals used by directors to prioritize outreach and plan reengagement.
Governance changes centered on shifting certain manual aggregation and reporting responsibilities into automated conversational workflows and real-time dashboards, allowing sales directors to receive timely notifications of buying signals and important follow up dates. Outcomes called out by the program include faster lead qualification, higher productivity through prioritized worklists, and enhanced personalized customer engagement in Bombardier’s luxury aircraft market, driven by conversational AI guidance and unified customer intelligence.
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Kawasaki United States | Automotive | 3100 | $1.6B | United States | Salesforce | Salesforce Agentforce Sales Coach Agent | Chatbots and Conversational AI | 2024 | n/a |
In 2024 Kawasaki Motors Corp., U.S.A. Engines Division implemented Salesforce Agentforce Sales Coach Agent as part of a Chatbots and Conversational AI initiative to automate routine sales and service workflows and surface Data Cloud insights for dealer and fleet support. The deployment was anchored on Salesforce Data Cloud to unify customer, product, and transaction data across the Engines division and the Government and Fleet Sales team, creating a consolidated reporting and decisioning layer for sales forecasts and open deals.
The implementation bundled Sales Cloud, Service Cloud, Manufacturing Cloud, Marketing Cloud, Experience Cloud, and Einstein AI on the Salesforce platform, with automation built using Salesforce Flow Builder and Process Builder. Kawasaki integrated an AppExchange partner, Tavant, to streamline warranty intake and to feed customer-entered information into Salesforce, enabling automated case creation and hundreds of workflow automations that surface contextual data to agents and sales staff.
Operational coverage spans Kawasaki Engines, Government and Fleet Sales, and dealer support operations nationwide, with a single dashboard view for leaders to access contacts, leads, forecasts, and active cases without switching systems. Data Cloud converts and shares common data points between the divisions and is being planned for expansion to ingest additional third-party sources, improving product performance visibility and supporting predictive lead and opportunity scoring.
Kawasaki is piloting Salesforce Agentforce Sales Coach Agent to automate inquiry triage, call summarization, case classification, suggested replies, and email handling, freeing staff to focus on complex cases and dealer relationships. The program already enabled automation of hundreds of tasks, doubled claim processing capacity, and materially improved customer response times and customer satisfaction scores, while governance shifted to centralized dashboards and platform-based process orchestration for cross-division collaboration.
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