List of ServiceNow Sales and Order Management Customers
Santa Clara, 95054, CA,
United States
Since 2010, our global team of researchers has been studying ServiceNow Sales and Order Management 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 ServiceNow Sales and Order Management for Sales and Order Management 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 ServiceNow Sales and Order Management for Sales and Order Management include: Bell, a Canada based Communications organisation with 40390 employees and revenues of $24.41 billion and many others.
Contact us if you need a completed and verified list of companies using ServiceNow Sales and Order Management, 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 ServiceNow Sales and Order Management 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!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
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Bell | Communications | 40390 | $24.4B | Canada | ServiceNow | ServiceNow Sales and Order Management | Sales and Order Management | 2022 | Ateko Bell Canada |
In 2022, Bell implemented ServiceNow Sales and Order Management as a core element of a broader ServiceNow AI Platform initiative. The ServiceNow Sales and Order Management deployment is integrated with Field Service Management for Telecommunications and Telecommunications Service Management, and it is described as the largest ServiceNow implementation in Canada.
The implementation configured portals for field engineers and a CRM portal serving roughly 22 million customers, consolidating 26 distinct applications on a single platform. Functional capabilities implemented include sales and order orchestration, digital ordering and digital fulfillment, AI-driven Virtual Repair, AI-driven coaching for agents, machine learning predicted job duration, and automation aimed at reducing dispatch-related actions.
Integrations and operational coverage were scoped nationwide across Bell’s field services organization, supporting a field workforce of about 12,000 members handling more than 10,000 field tasks per day, and operating 24 hours a day. The program uses Service Bridge within Telecommunications Service Management to accelerate product delivery to enterprise customers and to interoperate with customers’ cloud choices, including options to extend procurement and delivery through the AWS marketplace.
Ateko Bell Canada served as the implementation partner and Bell established a center of excellence to govern the platform, democratize IT capabilities, and guide behavioral change across approximately 40,000 employees. Governance and rollout practices emphasized rapid MVP cycles, reportedly capable of standing up initial solutions in about two weeks, and consistent records of service interactions to support escalation and technician resolution workflows.
Explicit outcomes reported include automation of up to 90 percent of dispatch-related tasks, more than 500,000 customers managed with AI-powered Virtual Repair, annual deflection of roughly 3 million customer support calls, AI-driven coaching that assisted handling of 180,000 calls, savings exceeding 1 million dollars annually on in-house support calls, and optimization of over two million jobs using machine learning predicted durations.
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