Arlington, 22209, VA,
United States
Nestle Toll House United States Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Nestle Toll House United States and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 22000 Nestle Toll House United States employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Nestle Toll House United States has purchased the following applications: LivePerson Conversational Cloud for Chatbots and Conversational AI in 2017, Google Workspace (Formerly Google G-Suite) for Collaboration in 2021, IgniteTech OneSpot for Content Management in 2016 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Nestle Toll House United States is running and its propensity to invest more and deepen its relationship with LivePerson , Salesforce , Google or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Nestle Toll House United States revenues, which have grown to $27.00 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Nestle Toll House United States intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| LivePerson | Legacy | LivePerson Conversational Cloud | Chatbots and Conversational AI | AI-Powered Application | n/a | 2017 | 2017 |
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Chatbots and Conversational AI | AI-Powered Application |
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2018 | 2018 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2021 | 2021 |
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Collaboration | Collaboration |
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2022 | 2022 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| IgniteTech | Legacy | IgniteTech OneSpot | Content Management | Content Management | n/a | 2016 | 2016 |
In 2016, Nestle Toll House United States implemented IgniteTech OneSpot to personalize recipe and baking content on its web properties in the United States. The deployment used IgniteTech OneSpot within a Content Management context to make thousands of recipes more relevant to individual visitors, concentrating on digital marketing and content personalization across the brand's recipe catalog. This effort addressed content relevance on site pages and aimed to improve user relevance and engagement across Nestle Toll House United States recipe properties.
IgniteTech OneSpot was configured to deliver content targeting, algorithmic relevance scoring, and dynamic content assembly for recipe pages, aligning content assets with visitor signals and profile attributes. Implementation activities included catalog tagging and metadata normalization for thousands of recipes, template-level personalization rules applied to recipe pages, and editorial controls for managing personalized content variants and relevance rules. The full application name IgniteTech OneSpot is used to centralize personalization logic within the Content Management workflow.
Operational coverage was scoped to the United States web properties and placed ownership with brand and digital marketing teams, who adapted editorial and publishing workflows to support personalization at scale. Governance work emphasized content tagging discipline, rule management, and ongoing tuning of relevance controls, with new publishing checkpoints introduced to ensure personalization rules were applied consistently.
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Content Management | Content Management |
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2017 | 2017 |
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Web Content Management | Content Management |
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2017 | 2017 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Data Management Platform | CRM |
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2018 | 2018 |
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Marketing Analytics | CRM |
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2017 | 2017 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2018 | 2018 |
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Tag Management | CRM |
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2017 | 2017 |
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Tag Management | CRM |
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2017 | 2017 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Hosting and Computing Services | IaaS |
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2016 | 2016 |
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Application Hosting and Computing Services | IaaS |
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2020 | 2020 |
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Application Hosting and Computing Services | IaaS |
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2021 | 2021 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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Domain Name System (DNS) | IaaS |
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2024 | 2024 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Secure Sockets Layer (SSL) | CyberSecurity |
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2017 | 2017 |
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Secure Sockets Layer (SSL) | CyberSecurity |
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2021 | 2021 |
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Web Application Firewalls (WAF) | CyberSecurity |
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2020 | 2020 |
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